Data Sets Jobs in Gurgaon

Position: Market Research Analyst Location: Gurugram Experience: 2 5 Years Qualification: Any Graduate Working Days: 5 Days per Week Working Hours: 9 Hours per Day Job Overview: We are seeking an analytical and detail-oriented Market Research Analyst to support strategic decision-making by delivering actionable insights through market analysis, competitor research, data interpretation, and revenue optimization. The ideal candidate will have a strong grasp of research tools, excellent data handling capabilities, and a strategic mindset to support business growth. Key Responsibilities: Primary & Secondary Research Conduct in-depth primary and secondary research to gather insights on industry trends, consumer behavior, and market opportunities. Campaign & Data Analysis Analyze performance metrics from email marketing campaigns using Excel and Google Analytics. Track KPIs like open rates, click-through rates, and conversions. Segment audiences for personalized marketing and extract data-driven insights to enhance ROI. Competitor & Market Analysis Perform comprehensive competitor analysis, including product offerings, pricing, customer reviews, and market positioning. Use tools like SWOT analysis, market segmentation, and trend forecasting to inform strategic direction. Business Development Identify and assess new market opportunities, potential partnerships, and emerging trends to support the business development team. Contact Discovery Leverage tools like Hoovers, ZoomInfo, Lusha, LinkedIn Sales Navigator, Apollo, and more to identify and verify contact information for potential leads. Data Management Manage, cleanse, and validate datasets using Excel functions (VLOOKUP, Pivot Tables, etc.) to ensure data accuracy and relevance. Revenue Analysis Analyze revenue streams and apply market intelligence to support financial growth. Identify key performance drivers and align strategies to boost profitability. Cross-functional Collaboration Partner with marketing, sales, and strategy teams to align research efforts with business goals. Regulatory Awareness Monitor and analyze regulatory and policy changes impacting industry operations and business opportunities. Key Skills & Qualifications: Strong analytical and critical thinking skills. Hands-on experience with Excel, Google Analytics, and research platforms. Ability to manage, clean, and interpret large data sets. Familiarity with contact discovery tools and LinkedIn Sales Navigator. Working knowledge of market segmentation, competitor tracking, and KPI analysis. Excellent communication skills and cross-functional collaboration abilities. Highly organized with keen attention to detail. Qualification : Any Graduate and above

Director Product Management Location: Gurugram Experience: 5-6+ years in Product Management, with 3+ years hands-on software development experience Job Type: Full Time About Procol Procurement processes at over 80% of companies still rely on emails, Excel, and phone calls causing inefficiencies, delays, and cost leakages of up to 20%. Procol transforms procurement by automating manual workflows, improving efficiency by ~50%, doubling speed, and delivering 2-10% cost savings. Founded in 2018, Procol s secure platform is trusted by $1B+ global companies, managing over $5Bn in procurement spend. Rated 4.9/5 on G2 and featured by Forbes, our team comprises ex-Google NY, Zomato, and OYO professionals. We are backed by investors including Blume Ventures, Peak XV Surge, Beenext, and Rainmatter. Role Overview As Director Product, you will drive the vision to simplify business for millions by building and scaling core procurement products and experiences. You will lead a team of product managers and collaborate with engineering, design, data science, and marketing to deliver impactful solutions. What You ll Do Define Product Strategy: Develop long-term vision and quarterly roadmaps aligned with company goals. Conceptualize Solutions: Use a problem-first, data-driven approach to identify and prioritize product ideas, balancing platform and long-term considerations. Lead Product Builds: Partner with engineering and design to deliver customer-loved products on schedule, creating detailed specs and managing product scope. Launch & Advocate: Plan go-to-market strategies alongside Product Marketing and serve as the internal and external product champion. Manage Stakeholders: Collaborate closely with senior leadership and cross-functional teams to align strategy with execution. What You ll Bring Strong customer-first and business-first mindset with solid technical understanding. Self-driven and proactive, able to thrive in a fast-paced, competitive startup environment. Analytical, data-informed approach with curiosity about metrics and macro trends. Exceptional problem-solving skills and keen attention to detail. Strong product sense with experience building products from 0 to 1. Minimum 5-6 years in Product Management and 3+ years in software development. Why You ll Love Procol Monthly advance salaries and comprehensive health insurance for employees and families. Free breakfast and snacks in the office. Subscriptions to wellness platforms like PharmEasy, Clove, HealthifyMe, Lenskart, and more. Discounts on fitness, healthcare, and lifestyle services. Fast-paced growth with impact across thousands of businesses. Close collaboration with an experienced founding team dedicated to building a great company.

Job Title: Computer Vision Researcher (3D) AI & Deep Learning | Spyne (Gurgaon) Location: Gurgaon, India | Work Mode: Full-Time, Onsite | Experience: 1 3 Years Keywords: Computer Vision Jobs India, Deep Learning Researcher, GAN Engineer, AI Research Jobs, ML Engineer, Generative AI Careers About Spyne Spyne is transforming the future of automotive retail with next-gen Generative AI. From AI-powered car visuals to a full-stack ecosystem for online vehicle commerce, we re enabling dealerships to create, price, and market inventory faster and smarter. Backed by $16M Series A funding from top VCs like Vertex Ventures and Accel Rapid expansion across the US and EU markets Achieved 5x revenue growth in 15 months aiming for another 3-4x in 2025 Leading the GenAI wave with AI-driven sourcing, pricing, CRM, and Agentic AI tools Role Overview: Computer Vision Engineer / Researcher We re hiring a passionate Computer Vision Engineer (3D) to join our Research & AI Product team. You ll work on state-of-the-art deep learning models especially GANs to develop and deploy scalable image processing and enhancement pipelines across automotive, e-commerce, food, and real estate domains. You ll play a pivotal role in building innovative AI-powered products that impact millions of images and videos, optimizing workflows for global businesses. Key Responsibilities Research & Experimentation Stay up to date with cutting-edge publications in AI, Computer Vision, and Deep Learning. Prototype innovative approaches from top-tier conferences (CVPR, NeurIPS, ICCV). AI Model Development & Deployment Train, fine-tune, and deploy models for image enhancement, segmentation, and classification using PyTorch/TensorFlow. Work on GAN Architectures Develop and optimize Generative Adversarial Networks (GANs) for image inpainting, background removal, super-resolution, and 3D scene generation. Scalable AI Infrastructure Collaborate with MLOps and Data Engineering teams to build robust AI pipelines on cloud platforms (AWS, GCP, Azure). Cross-Team Collaboration Work closely with Product Managers, Software Engineers, and Data Scientists to align AI capabilities with business goals. Mentorship & Guidance Contribute to a culture of innovation by mentoring junior researchers and participating in peer reviews. Requirements & Qualifications Education & Experience B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred) 1 3 years of hands-on experience in Computer Vision, AI model development, and Deep Learning Technical Skills Deep Learning Frameworks: Strong expertise in PyTorch or TensorFlow Generative Models: Proven experience with GANs for real-world use cases Programming: Proficiency in Python, plus experience in C++ or C# Image Processing Libraries: OpenCV, PIL, NumPy, Scikit-image Cloud Platforms: Hands-on experience deploying models on AWS, GCP, or Azure Research Mindset: Ability to implement novel ideas from AI research papers into practical solutions Soft Skills & Work Ethic Strong analytical and problem-solving capabilities Excellent communication and collaboration skills Comfort in a high-performance, office-first environment (5 days/week) Familiarity with Agile, Git, Jira, and collaborative development tools At Spyne, we empower careers not just fill positions. People-First Culture: Supportive team, open communication, and trust Career Acceleration: Fast growth with performance-based promotions and ownership opportunities Health & Insurance Benefits: Comprehensive GMC, GPA, GTLI coverage for employees and families Continuous Learning: Access to LinkedIn Learning, in-house mentorship, and AI research projects Work from Office Advantage: Real-time innovation, mentorship, and collaboration at our Gurugram HQ Competitive Salary + Equity: High-impact role with potential for stock options If you're excited to work on groundbreaking AI + 3D computer vision products, thrive in a startup environment, and want to shape the future of AI-powered automotive retail, we want to hear from you. Apply now and be part of Spyne s journey as we redefine how the world sees and sells cars! Qualification : B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred)

Job Title: Client Onboarding Specialist Location: Gurgaon, Haryana Experience: 3-4 Years in a Customer/Client-Facing Role Department: Customer Success Employment Type: Full-Time About Spyne At Spyne, we re on a mission to revolutionize automotive retailing using Generative AI. Every year, 52 million cars are sold in the US, worth over $1700 billion, and the used-car market is valued at $1000 billion. Our AI-powered solutions transform car visuals into premium studio visuals, helping dealerships and marketplaces in the US and Europe engage online visitors, increase showroom visits, and ultimately drive sales. Spyne is growing rapidly, and we aim to expand our software solutions within the used-car market to cover all aspects of the dealer journey from car acquisition and appraisal to listing, marketing, selling, and managing customer relationships. Supported by top investors like Accel Partners and Storm Ventures, Spyne is poised to become a leading software provider in the used-car market. Join our team and help us reshape the future of digital production in the automotive industry! What We Are Looking For We are seeking a highly motivated Client Onboarding Specialist to join our Customer Success team. The ideal candidate will be responsible for ensuring seamless onboarding of customers, helping them successfully implement Spyne s products, and fostering strong relationships that drive customer satisfaction, retention, and expansion. Lead the entire customer onboarding process: Ensure a smooth transition from initial engagement to successful go-live and implementation of Spyne products. Cultivate strong customer relationships throughout the onboarding phase to ensure long-term success. Handle customer issues from start to finish, working in a dynamic and fast-paced environment. Respond to support queries via chat, email, and video conferencing, providing clear and timely solutions. Analyze customer data to continuously improve the customer experience. De-escalate and resolve issues using platform and industry expertise to ensure customer satisfaction. Work under time constraints and meet deadlines, often with unexpected challenges, to meet customer needs. Become a product expert and go-to resource for both customers and internal teams. Collaborate with cross-functional teams to identify opportunities for automation or added features to better serve customers. What You Must Have Bachelor s/Master s degree with 3-4 years of experience in a customer/client-facing role. Experience with US clients is an added advantage. Strong problem-solving abilities with a keen attention to detail. Exceptional written and verbal communication skills in English. Hands-on experience with HubSpot and Freshdesk is mandatory. Openness to working in US shift timings. Young Startup Culture: Our team has an average age of 25-26 years, and even during the Great Resignation , we had near-zero attrition a testament to our company culture. Top-Rated AI Tech Company: With a 4+ rating on Glassdoor, Spyne is recognized as one of the top-rated AI tech companies. Gender Diversity: We have one of the best male-to-female ratios in the AI tech industry. Employee Support: We offer best-in-class employee supportive policies in line with government mandates. Customer-Centric: We are obsessed with delivering the best customer experience and ensuring client delight. We are in the growth stage, and it s the perfect time to join! Be part of a team that is set to grow 10X+ and contribute to a revolutionary transformation in automotive retail. If you're passionate about customer success and want to be part of a fast-growing, innovative company, Spyne is the place for you. Apply now to start your journey with us! Qualification : Bachelors/Masters degree with 3-4 years of experience in a customer/client-facing role.

Job Title: Revenue Finance Manager Location: Gurgaon, India Company: Builder.ai About Builder.ai At Builder.ai, we re making software development so easy, everyone can do it regardless of their tech skills or budget. We've empowered thousands of entrepreneurs and global giants like BBC, Makro, and Pepsi to bring their software ideas to life. And we re just getting started. Backed by $450M in funding, including a $250M Series D round and a strategic partnership with Microsoft, we re one of the fastest-growing AI tech companies globally. We were named one of Fast Company s Most Innovative Companies in AI (2023) and Europas Scaleup of the Year (2022). Life at Builder.ai Builder.ai isn t your average tech company. Here, experimentation is encouraged, innovation is expected, and learning never stops. You ll join a diverse, passionate, high-performance team that thrives on pushing boundaries and rewriting the rules of software development. We believe in Builder s HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, Transparency and most importantly, getting stuff done. As a Revenue Finance Manager, you'll be at the core of our financial operations driving accurate revenue recognition, leading strategic reporting, and enabling high-impact business decisions. You ll work across functions to manage our complex invoicing and revenue processes, support audits, and drive financial automation. This is a high-impact, high-visibility role ideal for someone who loves both strategy and execution, and who wants to play a foundational role in a fast-scaling finance function. Key Responsibilities Invoicing & Compliance Ensure invoicing aligns with contract terms across global regions. Partner with delivery, product, and customer teams for timely and accurate invoicing. Apply payments in systems like B360 and NetSuite. Revenue Recognition & Audit Support Understand and manage complexities like unbilled revenue, deferred revenue, and promotions accounting. Support external audits by preparing reconciliations and documentation. Automation & Optimization Lead automation of the payment application process. Identify red flags and revenue risks using data analytics. Drive adoption and optimization of NetSuite revenue modules. Month-End Close & Financial Control Assist with monthly/quarterly close activities. Prepare and account for credit notes as required. What You ll Bring Chartered Accountant (CA) qualification. 3 7 years of experience in revenue finance, invoicing, reconciliation, and ERP systems. In-depth understanding of revenue recognition standards (e.g., ASC 606 / IFRS 15). Hands-on experience with NetSuite or other major ERP platforms. Strong analytical mindset with experience in financial modeling, forecasting, and variance analysis. Excellent stakeholder management skills and attention to detail. What You ll Get Quarterly discretionary variable pay Stock options in a $450M Series D tech company 24 days annual leave + public holidays 2 Builder family days + Christmas-New Year time off Fully funded private medical insurance Free lunch at our state-of-the-art Gurugram office Generous referral bonus scheme Why You Should Join If you re a finance leader in the making who wants to go beyond the numbers, challenge yourself daily, and grow with a fast-paced, mission-driven company this is your chance to do it at scale. Apply now and take your career to the next level with Builder.ai. Qualification : Chartered Accountant (CA) qualification.

Job Title: Senior Product Manager SaaS & Logistics Tech | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Department: Product Management Industry: SaaS | Logistics & Supply Chain Technology Company: Shipsy About Shipsy Shipsy is a fast-growing global SaaS company transforming logistics and supply chain operations through intelligent automation and end-to-end visibility. Our platform enables enterprises to streamline freight and delivery management, optimize costs, and enhance customer experience all while driving sustainable logistics practices. We serve over 190+ global businesses, facilitating the movement of 2+ million shipments daily, and are rapidly expanding across the Middle East, Southeast Asia, and Europe. With regional headquarters in Dubai and strong momentum in revenue, team growth, and customer base, we are poised for continued global scale. Backed by top investors like Sequoia Capital and InfoEdge, our team consists of experts from institutions like MIT Media Lab, IITs, and top-tier companies like Microsoft, Samsung Research, and Morgan Stanley. Role Overview: Senior Product Manager As a Senior Product Manager, you will play a strategic role in shaping the roadmap and evolution of Shipsy's platform. You ll work cross-functionally with Engineering, Sales, Customer Success, and Design to define product vision, drive feature development, and deliver scalable logistics solutions that generate measurable impact for our enterprise clients. This is a high-impact position that requires a mix of business acumen, customer empathy, and a strong product mindset in the SaaS and supply chain domain. Key Responsibilities Own end-to-end product lifecycle from ideation to launch to iteration for core features of the Shipsy platform. Collaborate with customers and internal stakeholders to gather insights and define user stories, requirements, and acceptance criteria. Deeply understand customer workflows and business needs to ensure product solutions align with measurable outcomes. Drive platform adoption by designing intuitive, value-driven experiences that address pain points and unlock efficiencies. Prioritize features using data, customer feedback, and market trends to inform product strategy and decision-making. Work closely with Engineering to ensure timely and high-quality delivery of product features. Identify and track key performance metrics for product performance, adoption, and ROI. Serve as a customer advocate, proactively capturing feedback and channeling it into continuous product improvements. Requirements & Qualifications 4+ years of Product Management experience in SaaS, logistics tech, or enterprise software environments. Strong understanding of B2B workflows, supply chain processes, or logistics platforms. Exceptional analytical and problem-solving skills; ability to translate complex business needs into clear, executable solutions. Excellent communication and stakeholder management skills. A strong sense of ownership, curiosity, and passion for building scalable, customer-centric products. Bachelor s degree in Engineering, Computer Science, or Business; MBA is a plus. What Makes This Role Exciting Be a part of a high-growth company driving transformation in a trillion-dollar industry. Work alongside top-tier talent in a collaborative, agile, and innovation-focused environment. Influence the roadmap of a platform used by global leaders like Reliance, UPS, Zepto, DTDC, and Burger King. Access professional development programs, international mobility options, and unique employee perks such as a scholarship program. Join Us at Shipsy If you are passionate about solving real-world problems, influencing product direction, and working in a fast-paced, purpose-driven SaaS company, then Shipsy is the right place for you.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Job Title: Technical Integrator - Cloud ERP-Fusion Overview: Keysight Technologies is at the forefront of innovation, providing cutting-edge solutions in electronic design, simulation, prototyping, testing, manufacturing, and optimization. With a workforce of approximately 15,000 employees, we offer world-class solutions across industries such as communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor, with customers in over 100 countries. Our award-winning culture fosters creativity and problem-solving, driving industry-first solutions and embracing diversity, equity, and inclusion. At Keysight, we believe that a sense of belonging enhances creativity, innovation, and career success. We are looking for an experienced Technical Integrator to join our dynamic global IT team, focusing on Cloud ERP-Fusion technologies. In this role, you will be key to our ERP-Fusion Cloud migration project, integrating cloud modules, building extensions, managing data migration, and ensuring seamless integration processes. Key Responsibilities: Integrate Oracle ERP-Fusion Cloud Modules with existing systems, ensuring smooth functionality. Develop custom extensions to enhance ERP system functionalities. Manage data migration processes, ensuring accuracy, integrity, and completeness. Collaborate with cross-functional teams to identify integration requirements and deliver effective solutions. Troubleshoot and resolve technical issues related to integrations and extensions. Ensure compliance with security policies and best practices throughout the integration process. Provide ongoing technical support and guidance to end-users and stakeholders. Stay up-to-date with the latest Oracle ERP-Fusion Cloud features and updates to ensure the system is always at its best. Required Tools and Technologies: Oracle Integration Cloud (OIC) Oracle Application Development Framework (ADF) Oracle BI Publisher (BIP) Oracle Transactional Business Intelligence (OTBI) SOAP and REST APIs Extract, Transform, Load (ETL) Tools Oracle SQL and PL/SQL Oracle SOA Suite Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience with Oracle ERP-Fusion Cloud integration and customization. Strong understanding of integration tools and technologies. Experience managing data migration and ETL processes. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to thrive in a fast-paced and dynamic work environment. Preferred Qualifications: Oracle ERP-Fusion Cloud certification. Experience with other ERP systems and cloud platforms. Knowledge of security and compliance standards. Experience with software development tools and technologies, including: Angular with Spring Boot, Java with JPA, Database Management (e.g., Aurora DB, Dynamo DB) Design and implementation of scalable cloud infrastructure (Python, Django, Flask, Java, JavaScript, HTML, CSS, .Net, R, MS SQL, PL/SQL, WebLogic, Perl) Development experience with Python/Node.js and related frameworks. Expertise in Networking & Security tools such as Virtual Firewalls, AWS Direct Connect, VPN tunnels, AWS IAM, AWS Shield, Secrets Manager, and Certificates Manager. How to Apply: If you re passionate about cloud technologies and ERP integrations, and want to contribute to shaping the future of innovative solutions at Keysight, we d love to hear from you. Join us as we continue to lead and innovate in the tech space! Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field.

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

IT Operations Manager Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. What you ll do: We are looking for an IT Operations Manager to join our Corporate Technology team in Gurugram. The role involves working closely with other Specialists to direct and manage all operational activities related to IT Operations spanning across multiple office spaces and collaborate with key stakeholders across geographies to play an active role in monitoring and supervising the operations, ensuring the team members address the requests within the agreed Service level agreements by adhering to the defined processes. You ll play a pivotal role in supervising and managing a team of Specialists and oversee day-to-day operations to meet Service Level Agreements through optimum quality and service. Additionally, you ll need to demonstrate high proficiency in operations procedures, be proactive in communication, and define performance metrics for processes and individuals. You ll ensure effective and efficient working relationships between the team members, maintain a high level of morale and productivity and provide direction to the members on Operations. As an IT Operations Manager, you ll be responsible for monitoring end-user compute infrastructure and resolving system issues, manage installations, upgrades and configurations of both hardware and software, assess system performance, and recommend improvements, resolve or assist with issues escalated by Specialist, provide support and guidance to stakeholders, collaborate with other departments within the organization to resolve issues. You ll also need to lead and manage projects by setting timelines, defining deliverables, and ensuring alignment with business objectives. This includes analyzing reports and statistical data to assess productivity levels and identify root causes for underperformance, developing customized reporting to measure and track operational metrics, and overseeing key weekend initiatives such as user migrations to newer platforms, software and hardware upgrades, and audits. Additionally, you ll coordinate cross-functional teams, monitor progress, address risks and obstacles, and ensure successful project completion within scope, budget, and deadlines. What you ll need: The ideal candidate should have more than five years of experience preferably at a technology or financial firm. The candidate should have excellent computer skills including organizational and time-management skills and proven experience as IT Operations Manager. Experience in Project management for enterprise product implementation. Candidate should have experience with system & application installations, configuration and analysis and good understanding of policy, planning, and strategy. Candidate should have fair understanding of Windows platform and Cloud platforms like Azure. The following areas are preferred: Strong knowledge of designing and implementing office technical infrastructure. Proficiency in OS management and network administration, including TCP/IP, DNS, DHCP, VLANs, routing, and switching. Experience with Azure infrastructure, including Azure Virtual Machines, Azure Active Directory, Azure Networking, and Azure Security. Excellent leadership and team management skills, with the ability to motivate and develop a high-performing team. Relevant certifications (e.g., Microsoft Certified: Azure Administrator Associate, Cisco Certified Network Associate) are a plus. The ideal candidate should have the ability to oversee inventory requirements and forecast hardware purchases at regular intervals. Candidate should also have outstanding communication skills, leadership and organizational skills and ability to manage multiple projects and tasks at hand, problem-solving aptitude and assist with important strategy decisions w.r.t project planning and implementation. The candidate should be a self-starter who is structured, action-oriented, and has a sense of urgency, as well as being deadline-oriented and should have the ability to lead a team. Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics.

About Shiprocket: At Shiprocket, our mission is to simplify, democratize, and enhance the e-commerce experience. We empower e-commerce sellers by providing AI-driven technology and reliable services that cover everything from conversion and order fulfillment to shipping, communication, and returns management. Our platform integrates data, workflows, and supply chains at scale, offering sellers the tools they need to deliver exceptional customer experiences. We are driven by a set of values that shape our culture and success. We believe in innovation under constraints, reacting swiftly with purpose, and maintaining a frugal mindset that leads to growth. At Shiprocket, honesty is key, and we thrive on direct communication. We re not a family we re a sports team, united in our pursuit of success. Above all, we obsess over our customers. Role Overview: We are looking for a motivated and data-driven Customer Lifecycle Marketing (CLM) Lead to join our growing team. In this role, you ll be responsible for developing and executing a comprehensive customer lifecycle marketing strategy that maximizes customer lifetime value and drives sustainable growth. By leveraging data insights, you will optimize customer journeys, create personalized experiences, and foster lasting customer relationships. Key Responsibilities: Strategize & Execute: Develop and implement a comprehensive customer lifecycle marketing strategy across multiple channels (email, push notifications, in-app messages, SMS, social media). Automate & Optimize: Design, build, and optimize automated customer journeys through marketing automation platforms to engage customers at key touchpoints. Personalization: Personalize experiences for customers based on their behavior, preferences, and purchase history to drive deeper engagement. Experimentation: Conduct A/B testing and other experiments to refine campaigns, improve performance, and identify new opportunities for optimization. Data Analysis: Analyze customer data to identify valuable segments, predict churn risks, and uncover opportunities for cross-sell and upsell initiatives. Performance Tracking: Monitor key metrics such as customer lifetime value (CLV), churn rate, and customer acquisition cost (CAC), and report on the success of campaigns. Collaboration: Work closely with cross-functional teams (product, engineering, customer success) to ensure a seamless and optimized customer experience. Stay Updated: Keep abreast of emerging trends in customer lifecycle marketing and new technologies to continually improve strategies and tactics. Preferred Skills & Qualifications: Experience: 2+ years of experience in customer lifecycle marketing, with at least 4 years of experience in growth or broader marketing roles. Customer Journey Expertise: Strong understanding of customer journey mapping and user experience best practices. Marketing Automation: Experience using marketing automation platforms to execute and optimize campaigns. Analytical Skills: Strong problem-solving and analytical skills, with the ability to derive actionable insights from data. Communication Skills: Excellent written and verbal communication skills, with the ability to collaborate and present effectively. Growth Mindset: Passion for learning, adapting, and continuously improving in a fast-paced environment. Educational Background: Bachelor s degree in Marketing, Business, or a related field. Bonus Points: AI & Personalization: Experience with AI-powered personalization and recommendation engines. Startup Experience: Familiarity with working in a fast-paced, high-growth startup environment. Qualification : Bachelors degree in Marketing, Business, or a related field.

Job Description Join us as a Markets Data Management Analyst In this role, you ll work on the static setup and maintenance of clients and standard settlement instructions. As a Markets Data Management Analyst, we ll expect you to act as a point of contact for queries, requests, and the facilitation of onboarding and trade execution for clients. You ll be working in partnership with internal and external stakeholders, allowing you to hone your communication skills and gain great exposure for your work. We're offering this role at senior analyst level. What you'll do You ll make sure that clear and unambiguous roles and responsibilities are agreed and seek out opportunities to engage with new and existing functions and learn new skills. We ll look to you to make sure that your stakeholders fully understand the global reference data strategy and agenda. And, you ll be managing the expectations of internal support functions with insight into client requirements and the development of business. Your responsibilities will include: Maintaining an understanding of the front-to-back client life cycle. Suggesting areas of improvement for daily processing and escalating these appropriately. Formulating plans that are delivered in line with agreed risk, cost, and time requirements. Acting as a point of contact for static data queries and requests. Driving the development, implementation, and regular review of policies and procedures and ensuring colleagues have adequate awareness and training. The skills you'll need We ll expect you to have strong experience in the financial services industry, with a specialism in reference data, client onboarding, or client exits. You ll need to have excellent analytical skills, with a structured and methodical approach when investigating data issues. Crucially, you ll have the ability to thrive in a fast-paced and rapidly evolving environment. You ll also need: Excellent communication and presentation skills. Strong interpersonal skills with the ability to build, maintain, and enhance relationships at all levels. Good Microsoft Office Excel, Word, and PowerPoint skills.

Senior Specialist 2 General Ledger Payroll Company Overview MongoDB s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to build, scale, and run modern applications by modernizing legacy workloads, embracing innovation, and leveraging AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 175,000 new developers joining MongoDB each month, leading organizations like Samsung and Toyota trust MongoDB to build next-generation, AI-powered applications. We are seeking candidates based in Gurugram for our hybrid working model. Shift: 6 PM 2 AM Role Overview As a Senior Specialist 2, you will manage all month-end close (MEC) activities within the General Ledger (GL) Payroll Team, ensuring accuracy and compliance in payroll-related accounts and processes across global regions. Your role involves integrating payroll data into the general ledger while mitigating risks, supporting decision-making, and scaling financial infrastructure to meet growing payroll needs. You will collaborate closely with HR, Compensation & Benefits, and Finance teams to ensure payroll activities are accurately reflected in financial statements, supporting audit and reporting requirements. Key Responsibilities Month-End Close Activities: Prepare and review journal entries related to payroll, accruals, and reclassifications. General Ledger Management: Track all manual journal entries (accruals, payroll accounting, and reclassifications) and ensure accurate classification of costs under profit & loss accounts. Cross-Team Coordination: Work with AP, AR, Inventory, Payroll, Treasury, and Intercompany teams to ensure timely and accurate information flow. Financial Reporting: Prepare monthly MIS reports and reconcile general ledger accounts to ensure the validity of closing balances. Variance & Income Statement Analysis: Conduct and present variance analysis and income statement reviews to senior management. Audit Support: Coordinate with audit teams to provide necessary documentation and explanations. Global Collaboration: Engage with stakeholders in EU and US regions to ensure proper accounting and transaction handling. Process Improvement & Compliance: Assist in the design and implementation of internal controls, process improvements, and documentation (SOPs/DTPs). US GAAP Adherence: Ensure compliance with US GAAP in all accounting interpretations and applications. Performance Metrics: Prepare and present KPIs to stakeholders. Team Development: Manage performance, set goals, provide training, and foster strong employee relationships. Experience & Qualifications Education: Bachelor's or Master's degree in Commerce. Certifications (Preferred): CA / ICWA / CMA / CPA (or aspirants pursuing these qualifications). Experience: 5-7 years in Finance & Accounting, including 4+ years handling month-close activities and Balance Sheet & P&L preparation. Payroll Accounting exposure, focusing on payroll entries, reconciliations, and reporting. ERP Knowledge: Experience with AP, AR, and GL in an ERP environment (Oracle ERP preferred). Technical Skills: Proficiency in MS Excel, Word, PowerPoint, and Outlook. Accounting Knowledge: Strong understanding of accounting concepts, policies, and multi-currency transactions, including foreign exchange gains/losses. Soft Skills: Excellent oral and written communication, time management, problem-solving, and organizational skills. Customer Focus: Professional and passionate about delivering high-quality service. Flexibility: Ability to adapt to a rapidly growing company and evolving processes. MongoDB is committed to fostering a supportive and enriching work culture. From employee affinity groups to fertility assistance and generous parental leave policies, we prioritize employee well-being and career growth. Accessibility & Accommodations MongoDB is an equal opportunities employer and provides necessary accommodations for individuals with disabilities during the application and interview process. To request an accommodation, please inform your recruiter. Qualification : Bachelor's or Master's degree in Commerce.

Position: Junior Technical Product Strategist - Cash Management Group About the Role: BlackRock is one of the world s leading asset management firms, offering a wide range of investment management, risk management, and advisory services. The Cash Management Group, part of the Global Cash Management team, manages Prime and Government Money Market and Ultra-Short Duration Mutual Funds and Separate Accounts, focusing on capital preservation, liquidity, and yield. The team uses a risk-controlled framework to deliver investment returns based on credit, interest rate trends, and relative value opportunities. Business Unit Overview: The Cachematrix Technical Product Strategy team is part of the Global Cash Management group and works with the Cachematrix Liquidity Management platform, a SaaS-based product that powers custom trading solutions for leading financial institutions worldwide. This platform provides seamless integration with core cash management systems or operates as a stand-alone system. Your Responsibilities: Analysis and Solution Definition: Collaborate with stakeholders to gather and document business requirements. Create and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), and Business Process Requirements (BPRs). Develop and execute test strategies for User Acceptance Testing (UAT) and provide feedback for improvements. Technical Recommendation and Testing: Identify, document, report, and track defects and issues. Manage issue reporting and triage, providing timely escalation as needed. Project Execution and Support: Offer business and platform support to ensure smooth platform operations. Oversee vendor data to maintain data integrity, verify accuracy, and ensure reconciliation. Set up and oversee client data extracts for seamless integrations. Build and maintain reports, including ad-hoc and automated reports, to support business needs. Communication: Deliver support and training demos to stakeholders and document operating models and handoff processes. Manage stakeholder communication between business and development teams. Preferred Experience: 1-3 years of experience as a Business Analyst or UAT Tester. Bachelor s degree in Business Administration, Information Technology, or a related field. Strong understanding of the software development lifecycle (SDLC) and testing methodologies. Excellent analytical and problem-solving skills. Familiarity with Agile & Scrum methodologies. Industry knowledge of financial services and processes. Experience with JIRA, Confluence, Miro, Visio, Aha or similar tools. Proficiency in SQL for querying and data analysis. Experience with data visualization and business intelligence tools such as Power BI, Tableau, Adobe Analytics, or similar platforms is preferred. Familiarity with programming languages like Python is a plus. Qualification : Bachelors degree in Business Administration, Information Technology, or a related field.

Company Description Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. Job Description Main Responsibilities: Handling and monitoring shipments in containers for third country execution in compliance with contractual requirements/conditions. Aware of shipping lines & logistical procedure for container shipment. Accurate and timely co-ordination with shipper, buyer, overseas offices, internal teams, shipping line, handling agent, supervision agency and other parties involved in shipment. Be aware of and avoid cost and consequences related non-accomplishment of shipment deadline and contractual period. Good knowledge of Letter of credit. Should be familiar with UCP 600 & ISBP Working on Letters of credit - Letter of credit to be checked and verified in accordance with contractual terms and conditions followed by issuance & presentation of documents well within time. Checking and/or preparation of shipping documents as per Letter of Credit; presenting them for payments as per contractual terms Prepare error free post shipment documentation/Clean negotiation of shipping documents. Preparation of weekly reports and updating accurate data in working system as well as in shipment files. Daily reporting / status updates of shipments under various contracts, stock positions and high-lighting potential delays. Proper filing and maintenance of records. Updating KPI Dedicated and to work as per the requirement of Job / shipment, time should not be a barrier. Experiences: 8 to 15 years of experience Other skills (Computer Skills, etc): Proficiency with MS Word and Excel. Ability to prioritize multiple tasks and meet strict deadlines Accurate data entry skills and Strong documentation skills Additional Information Additional Information for the job Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. We offer A workplace culture that embraces diversity and inclusivity Opportunities for Professional Growth and Development Employee Recognition Program Employee Wellness Programs - Confidential access to certified counselors for employee and eligible family members, along with monthly wellness awareness sessions. Certified Great Place to Work

Location: NCR: Gurgaon Experience: 12+ years in leadership/management roles, preferably in the switchgear industry. Qualifications: Engineering graduate (Electrical, Mechanical, or related field) About Schneider Electric: Schneider Electric is a global leader in energy management and industrial automation, helping organizations and industries optimize energy use and reduce their environmental impact. We provide comprehensive solutions for energy distribution, automation, and management, focusing on sustainability, efficiency, and innovation. Role Overview: The Engineering Manager Modernization Services will be pivotal in driving growth within the Services business by delivering engineering solutions focused on energy management and industrial automation. This role specifically covers Modernization & Retrofit projects aimed at augmenting electrical power systems for Smart Industries, Data Centers, Intelligent Buildings, Utilities, Substations, and Intuitive Homes. You will lead a small, specialized team to deliver complete design and engineering solutions for augmenting existing MV/LV distribution networks, including Transformers, Panels, Circuit Breakers, Power & Control Cables, Protection Relays, and more. Key Responsibilities: Design & Engineering Leadership: Lead the design of electrical distribution networks, including HV/LV switchgears, UPS, transformers, busways, and control systems. Feasibility & Cost Estimation: Conduct feasibility studies and cost estimations, providing optimized solutions for bidding. Technical Expertise: Participate as a Subject Matter Expert (SME) in key decisions, including Go-No-Go calls for projects. Project Improvement: Focus on improving project profitability through value engineering, change orders, and scope adjustments. Cross-Functional Collaboration: Work closely with manufacturing teams, project management, and stakeholders to ensure project delivery within timelines and budgets. Network Studies & Equipment Sizing: Lead fault level studies, load flow, arc flash, protection coordination, and equipment sizing for network design. Digitization Initiatives: Spearhead Schneider Electric's digitalization efforts, specifying and enabling tools like EcoStruxure Asset Advisor and EcoStruxure Transformer Expert. Design Documentation: Create and release detailed engineering drawings (SLD, GA, schematic) using AutoCAD/ProE. Customer Engagement: Address customer queries, non-compliance issues, and secure on-time engineering approvals. Team Leadership & Motivation: Lead, guide, and motivate a small team of electrical and mechanical engineers to deliver cost-effective retrofit solutions. Risk Management & Cost Control: Work with cross-functional teams to manage risks, profitability, and resource planning effectively. Process Improvement: Implement best practices using lean tools like Six Sigma, 5-S, and Lean Manufacturing. Skills Required: Engineering & Technical Expertise: Proficiency in power systems design, distribution transformers, UPS, DG sets, MV/LV panels, circuit breakers, protection relays, PLCs, and drives. Design Tools Proficiency: Experience with design tools such as AutoCAD, ProE, and eTAP. Standards Knowledge: Strong understanding of IEC & IEEE standards and specifications. Project Management: PMP certification or similar experience preferred. Proficiency in SAP (PS module), MS Project, and Gantt charts. Leadership & Team Building: Proven ability to lead teams, foster collaboration, and make fast, result-oriented decisions. Financial Acumen: Familiarity with budgeting, expense management, and financial practices. Risk Management: Ability to assess and mitigate project risks and manage stakeholder expectations. Qualifications & Experience: Experience: 12+ years of progressive experience in a leadership role in the switchgear or related manufacturing industry. Education: Engineering degree (Electrical, Mechanical, or related discipline) with a solid understanding of budgeting and financial practices. Tools & Technologies: Proficient with design tools (AutoCAD, Pro-E, eTAP) and project management tools (SAP, MS Project). Collaboration Areas: Engineering-to-order manufacturing Project management teams Vendor management, purchasing, and cost control Site execution and field teams Sales & Tendering teams Qualification : Engineering degree (Electrical, Mechanical, or related discipline) with a solid understanding of budgeting and financial practices.

Company Overview: American Express is committed to providing the world s best customer experience every day. The Global Servicing Group (GSG) is central to fulfilling this mission, with over 36,000 team members working across various lines of business, including Customer Engagement, Merchant Services, Credit & Fraud. Within this structure, the Global Capacity & Contact Management (GCCM) team works towards optimizing resources and maintaining consistent customer service levels globally. Role Overview: The Planning & Data Intelligence (PDI) team within GCCM plays a pivotal role in supporting global reporting and analytics. This role involves automating, standardizing, and enhancing the reporting ecosystem to enable better decision-making through data-driven insights. The role will also involve creating a more efficient process for managing large and multiple data sets and collaborating with business partners to drive the future of reporting within the organization. Key Responsibilities: Define Data Architecture Strategy: Contribute to the development of the data architecture strategy and roadmap to enhance the PDI data ecosystem. Automation & Standardization: Analyze the current reporting structure within GCCM and work towards automating and scaling it through self-service functionalities, especially using Tableau. Reporting Innovation: Collaborate with internal partners to create new reporting dashboards within Tableau and other platforms, ensuring better self-service and efficiency. Analytics & Problem-Solving: Leverage your strong analytical skills to solve both practical and theoretical business challenges, applying machine learning, data mining, and statistical analysis techniques. KPIs & Performance Metrics: Develop and manage key performance indicators (KPIs) to promote efficiency, drive awareness, and improve reporting systems across teams. Reporting to Leadership: Provide on-demand reporting and insights to senior leadership, helping them make informed decisions. Dashboard Development & Adoption: Coordinate the development and testing of new dashboards, ensuring data validation and documentation. Assist in training teams to adopt these tools effectively. Innovation & External Research: Continuously seek new ideas and innovations from external sources to bring best practices into the team s work. Required Qualifications: Educational Background: Bachelor's degree or equivalent combination of education and work experience. Technical Expertise: Expert knowledge in VBA, SQL, Cornerstone, Hive, and Python. Familiarity with workforce management KPIs and Tableau for report building is a plus. Data Analysis & Manipulation: Experience using SAS, Big Data analytics, and statistical software for data analysis and manipulation. Problem-Solving & Analytical Skills: Strong ability to perform deep dive analyses of business metrics, providing actionable solutions and recommendations. Call Center Management Expertise: In-depth understanding of call center principles and how they impact operations. Adaptability & Communication: Ability to work in a fast-paced environment with changing demands, managing multiple tasks effectively. Exceptional written and verbal communication skills in English. Collaboration Skills: Strong interpersonal skills to collaborate and influence across different organizational levels and teams. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Working Arrangements: Hybrid, onsite, or virtual options depending on role and business needs. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness & Support Programs: Access to global wellness centers and confidential counseling support through the Healthy Minds program. Career Growth Opportunities: Continuous career development and training opportunities. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelor's degree or equivalent combination of education and work experience.

About the role: The Sales Business Analyst role is responsible for providing timely reporting and insight on the regional sales data and activities. Directly supporting a dedicated sales region and leadership team you will drive the development and implementation of our sales analytics and data strategy, while identifying trends and recommend solutions or processes to enable sales effectiveness. Our goal is to increase our analytical capabilities and drive actionable insight against our Sales business priorities. What you will do: Act as a strategic partner to our senior sales leaders while becoming an expert on the assigned regions performance, key metrics and top initiatives. Become a subject matter expert across our online tools, reports and dashboards. Providing training and support to ensure sales understanding and best practice adherence. Provide proactive, timely and actionable analytics, with a focus on improving sales productivity highlighting trends and other key indicators across the sales region. Manage month and quarter end processes ensuing all business is transacted and accurate. Communicate sales processes, operational updates and best practices within the region, play an active role in Ops reviews & team meetings presenting key findings. Enhance our capability to analyze and make sense of large data sets, presenting findings in a visually appealing manner that tells a data driven story to drive decision making. Design, Develop and support various daily, weekly, monthly reporting. Driving best practice sharing across the SBA team and each sales region. What you will need: Bachelor s degree is required; Masters or advanced degree a plus 4+ years of working experience, preferable working in data analytics and visualization, business intelligence, or analytical consulting. Exceptional Excel, PowerPoint skills Proficiency in data visualization tools (e.g. Tableau, Power Bi) Attention to detail & accuracy Strong communication and presentation skills Experience and aptitude to work with different data sources with strong analytical skills and experience. Ability to solve complex problems and successfully manage ambiguity and unexpected change Comfortable to partner, influence and build a trust-based, value-added relationships with senior sales leaders Excellent oral and written communication skills Outstanding organizational skills with the ability to multitask, prioritize and meet deadlines. Ability to work independently and with little direction, a self-starter. What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) Collaborative, team-oriented culture that embraces diversity. Professional development and unlimited growth opportunities. Qualification : Bachelors degree is required; Masters or advanced degree a plus

To fulfil this mission, the Marketing Science team at Meta is actively seeking a full-time, experienced Marketing Science Partner. A Marketing Science Partner at Meta works with internal and external clients in an industry vertical such as Automotive, E-commerce, Entertainment, CPG, Fin-Serv, Tech etc. on an ongoing basis to adopt better measurement as a way to improve business outcomes. To accomplish this, the person in this role will work both reactively and proactively with clients, using Meta s industry leading data science tools and data sets. Driving good measurement with advertisers will require designing tests (conversion lift, brand lift, attribution etc.) and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media. This work will require direct engagement with clients, with media agencies as well as using our third party scaling solutions to help with the set up and running of studies. Conclusions from this work will showcase what good measurement is and how clients can act upon it to drive business impact. The Marketing Science Partner will also focus on customizing existing capabilities or in some cases piloting new, scalable capabilities in partnership with Product, R&D, and Partnerships. Meta is seeking exceptional candidates to join the Marketing Science team with proven analytical and critical thinking skills as well as familiarity with large data sets, Marketing research and data manipulation tools. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with internal teams and partner closely with the Sales team. Marketing Science Partner, India Responsibilities Engage with clients and agencies to share research-based best practices and measure true business value by building and operationalizing learning agendas . The best practices and learning agendas will highlights how a client can improve business outcomes Work with advertising and industry bodies to create best in class measurement solutions Partner closely with sales to manage a set of accounts and prioritize which clients will get servicing from the team Support client engagement with third party vendors responsible for setting up and conducting measurement studies Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the learning agenda Design tests to showcase the power of good measurement using client data and Facebook or third-party technology tools Conduct in-depth standard and custom ad effectiveness studies for Facebook advertisers to understand the relative impact of different marketing strategies across digital platforms and across media Communicate complex research results to a general audience Offer selective consultation with clients & agencies on business hypothesis to test, measurement design & feasibility or insights interpretation Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices (auction, use of lift tools ) Minimum Qualifications Bachelor s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar Direct experience independently scoping and executing research projects with clients and or cross-functional stakeholders Experience analyzing and manipulating data sets to understand patterns and provide insights Experience leading at an industry level and with clients Ability to communicate technical content to general audience. Client-facing experience (internal or external), including ability to drive meetings or change through adoption of new products or research methods. Experience with digital advertising measurement methods and technologies Proven excellence in working with structured and unstructured data-sets, statistical software such as R as well as data extraction tools such as Hive, python and/or SQL is a must Experience with field experiments, experimental design, survey sampling, and/or panel data Preferred Qualifications Advanced degree in a quantitative field or an MBA About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity and Affirmative Action Qualification : Bachelors degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar