Business Insights Jobs in Gurgaon

Position: Senior Manager Process Audit Location: Gurgaon Experience: 13 to 16 years Qualification: Chartered Accountant (Mandatory) Role Overview We are seeking an experienced and strategic Senior Manager Process Audit to lead and elevate our internal audit function, with a strong focus on dealer operations and business process optimization. This role is pivotal in enhancing operational efficiency, ensuring policy and regulatory compliance, and mitigating business risks across the organization. The ideal candidate is a Chartered Accountant with a deep understanding of internal controls, risk assessment, and process improvement particularly in the automobile or dealership sector. Key Responsibilities Audit Strategy & Planning Develop and execute a robust annual audit plan aligned with corporate objectives and risk priorities. Define audit scope, methodologies, and timelines for dealer operations and core business processes. Ensure alignment with regulatory standards, internal controls, and industry best practices. Audit Execution Lead and oversee end-to-end audits from planning and fieldwork to reporting and follow-up. Assess compliance with company policies, operational efficiency, and risk mitigation practices. Perform root-cause analysis and validate corrective actions across processes and dealerships. Risk Management & Process Improvement Identify gaps, inefficiencies, and compliance risks in systems and dealer operations. Provide actionable recommendations to business stakeholders for process improvement. Drive long-term process standardization and control enhancement initiatives. Stakeholder Collaboration Partner with cross-functional teams, senior leadership, and dealer networks to drive audit outcomes. Ensure timely resolution of audit issues and effective implementation of agreed action plans. Act as a trusted advisor for internal controls and risk governance. Performance Monitoring Track dealer and process performance using KPIs, customer satisfaction metrics, and brand compliance. Ensure sustainability of improvements and consistency in operational execution. Reporting & Communication Prepare and present detailed audit reports to senior management, highlighting key risks and business insights. Drive a culture of transparency, compliance, and accountability through clear communication and regular updates. Qualifications & Requirements Chartered Accountant (CA) Mandatory 13 to 16 years of post-qualification experience in process audits, internal controls, or operational risk Strong background in auditing dealer networks and business operations, preferably in the automobile sector Expertise in internal control frameworks, process reviews, and risk-based auditing Advanced proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) and SAP Strong report writing, analytical, and presentation skills Excellent communication, stakeholder engagement, and team collaboration skills Sound knowledge of industry regulations, compliance standards, and risk management frameworks Skills Required Process Auditing & Internal Controls Dealer Operations Review Risk Identification & Mitigation Compliance Monitoring Audit Strategy & Execution Stakeholder Management Join us in driving operational excellence and shaping a compliant, performance-driven culture. Apply now to lead the charge in audit innovation and business transformation. Qualification : Chartered Accountant (Mandatory)

Job Summary: Associate, Technical Application Support Location: Gurgaon, India Department: Operations Group Division: S&P Global Market Intelligence Role Overview: As an Associate in Technical Application Support, you will be a key technical consultant supporting S&P Global s Channels Data Delivery solutions. You will work closely with global product specialists, sales teams, and external customers to deliver high-quality technical assistance around product deployment, configuration, performance tuning, and troubleshooting. Your expertise will bridge customer environments and our data delivery products, ensuring smooth integration into mission-critical workflows. Key Responsibilities: Provide deep technical support for Channels Data Delivery products, including Xpressfeed Loader deployment and configuration. Assist with sizing, deployment, troubleshooting, and performance tuning in client environments. Partner with pre- and post-sales teams to support client needs and opportunities. Drive innovation by proposing automation and efficiency improvements in support processes. Monitor evolving product features, participate in strategy discussions, and contribute to product testing. Act as the voice of the customer by relaying feedback for product enhancements. Support client implementations, upgrades, migrations, and ongoing technical operations. Who You Are: Education: Degree in Computer Science, Information Systems, or equivalent experience. Experience & Skills: Strong troubleshooting and problem-solving skills with attention to detail. Hands-on experience with software deployments, Windows/Linux OS, and SQL querying. Familiarity with cloud environments (AWS, Azure, or Google Cloud), especially AWS EC2 and RDS/Aurora. Comfortable leading client-facing technical discussions. Preferred: Knowledge of finance, capital markets, and database administration (SQL Server, Oracle, PostgreSQL). Experience with FTP, proxies, network and security protocols, and data integration techniques. Familiarity with Agile/SCRUM and product development lifecycle. What You ll Gain: A dynamic role interacting directly with clients and global teams on enterprise-level financial data products. Exposure to the evolving landscape of financial markets and technology-driven data solutions. Opportunities for career growth through continuous learning, skill development, and cross-functional collaboration. Access to competitive benefits supporting your health, well-being, and financial future. About S&P Global Market Intelligence: S&P Global Market Intelligence provides trusted data, insights, and technology solutions that empower customers to make informed business decisions. Our team is dedicated to excellence, integrity, and innovation in delivering essential intelligence to global markets. Qualification : Degree in Computer Science, Information Systems, or equivalent experience.

Manager, gTech Ads Location: Gurugram, Haryana, India Minimum Qualifications Bachelor s degree or equivalent practical experience 11+ years of experience in developing customer relationships and working with digital media or advertising/marketing solutions 5+ years of experience in team leadership, including mentoring and developing talent Preferred Qualifications Proven experience collaborating across organizational boundaries to align resources and strategies Familiarity with offline media, Brand Lift studies, and marketing measurement and attribution methods Strong understanding of media industry trends and challenges relevant to Google's strategic positioning Exceptional communication and problem-solving skills, with ability to present to executive audiences Skilled in using data and insights to drive business decisions and long-term strategy About the Role As a Manager in gTech Ads, you will lead a high-performing team that delivers media and technical services across Google s advertising products. Your team will work with clients ranging from small businesses to large enterprises, providing strategic guidance and tailored support that drives marketing success and ROI. You ll collaborate closely with Sales, Product, and Engineering to enhance support models and improve product experiences. gTech Ads is the bridge that connects Google s advertising innovation to practical value for customers through thoughtful service, operational excellence, and technical consulting. Your role will ensure that customer needs inform our solutions while growing the impact and capability of your team. Responsibilities Build and lead business strategy in collaboration with senior stakeholders across teams Oversee a team of digital media specialists focused on client success and campaign excellence Guide team performance through strategic mentorship and coaching Support individual growth through career development planning, skills training, and performance evaluation Use data insights to drive business decisions, improve support outcomes, and inform product improvements Qualification : Bachelors degree or equivalent practical experience

Quality Control Manager gTech Location: Gurugram, Haryana, India Minimum Qualifications Bachelor s degree in Business, Logistics, Operations, Engineering, or a related field or equivalent practical experience 5+ years of experience managing vendor teams and customer engagement 5+ years of experience with third-party logistics (3PL) relationships 5+ years of experience managing warehousing and supply chain operations Certification or coursework in Operations Six Sigma, COPC, LEAN, or similar methodologies Preferred Qualifications MBA or Master s degree 5+ years of experience using data analysis and business insights to guide strategic decisions Experience in data center logistics Proficiency in SQL and strong data analysis capabilities About the Role As a Quality Control Manager within Google s gTech Ads team, you will lead quality operations efforts that directly impact the customer experience and operational excellence across Google Ads support. Your role will focus on driving efficiency and accuracy in collaboration with vendor partners, operations teams, and product stakeholders. You will be responsible for aligning operational workflows with strategic business goals and ensuring scalable, high-impact solutions through data-driven insights and process optimization. You ll contribute to a dynamic, global support ecosystem that powers advertisers of all sizes from small businesses to global brands while shaping best-in-class customer support quality standards. Responsibilities Lead and improve quality operations with vendor partners, ensuring a frictionless customer experience Translate business and operational requirements into measurable quality outcomes Manage and evolve quality workflows in partnership with internal teams and cross-functional stakeholders Analyze market and business data, financial indicators, and performance trends to inform decision-making Navigate a matrixed, multicultural global environment with effective stakeholder engagement Provide feedback and insights to influence tools, automation, and roadmap decisions Balance business goals and customer needs to optimize performance and service impact Qualification : MBA or Masters degree

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.

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: Manager - Business Analytics Location: Gurugram Experience: 6+ Years (1+ Years as Manager in MIS, WFM, or Reporting) Education: Any Graduation Job Description: We are seeking a Manager - Business Analytics to effectively lead our Business Analytics function and manage a team of 15-20 business analysts. In this role, you will be responsible for implementing tools and strategies that translate raw data into valuable business insights. Your goal will be to help drive high performance and quality by leveraging data for decision-making. Strong logical reasoning skills, business intelligence, and excellent communication abilities are essential for this role. Key Responsibilities: Team Leadership: Lead and manage a team of 15-20 Business Analysts, providing guidance and support in their daily activities and ensuring the accuracy and efficiency of their work. Data Reporting & MIS Generation: Generate, maintain, consolidate, and track various reports, ensuring timely and accurate delivery. Develop and execute daily, weekly, and monthly MIS Reports, utilizing advanced Excel/VBA, PPT, and MySQL. Update informative dashboards regularly with data visualization elements like Bar Charts, Pie Charts, etc. Reconcile and email MIS reports with data visualization details and track business performance. Data Analysis & Experimentation: Conduct data-based experiments to identify opportunities for improving the decision-making process. Develop and execute statistical modeling techniques for better business insights and to cover adjacent categories. Identify opportunities for automating reports, snapshots, and dashboards using advanced formulas, macros, and VB. Strategy & Process Optimization: Develop strategies for effective data analysis and reporting, ensuring that insights generated are aligned with business goals. Build systems and tools that can transform raw data into actionable business insights. Work closely with cross-functional teams to ensure that all analytics solutions are correctly configured and implemented. Data Quality & Integrity: Oversee all analytics operations to identify discrepancies and ensure the data is of the highest quality. Identify gaps in reporting systems and drive improvements to ensure the accuracy of business-critical data. Cross-Functional Collaboration: Collaborate with other departments to gather insights, ensure consistent reporting, and solve business challenges using data-driven decisions. Skills and Qualifications: Experience: Minimum 6 years of overall experience in analytics or reporting, with at least 1 year as a Manager in MIS, WFM, or Reporting. Technical Skills: Proficient in Advanced Excel, VBA, PowerPoint, and MySQL. Experience in building and maintaining dashboards, utilizing data visualization tools. Strong understanding of statistical modeling techniques and experience in applying them to business problems. Leadership: Proven experience in managing and mentoring a team, with the ability to guide the team towards effective problem-solving and reporting outcomes. Analytical Mindset: Strong problem-solving abilities and a keen eye for detail, ensuring data accuracy and the generation of actionable insights. Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data insights in a clear and understandable manner to stakeholders at all levels. Automation & Optimization: Expertise in automating reporting processes using advanced formulas, macros, and VB to improve efficiency and accuracy. Additional Information: Work Days: 6 Days a week. Location: Gurugram. Education: Any graduation (Bachelors or higher). What We Offer: Competitive salary and benefits. A collaborative and growth-oriented work environment. Opportunity to make a significant impact on business performance using data-driven insights.

We proudly offer a comprehensive total rewards package, including bonuses, healthcare, insurance benefits, retirement plans, wellness programs, and performance awards. You ll also have access to social and recreational activities tailored to your location. Job Description What You Will Do: Ensure compliance with Quality Management Systems (QMS) in line with internal and external regulatory requirements, including but not limited to FDA, ISO, MDD, FGO EU, and country-specific regulations. Contribute to the development of an optimized QMS that aligns with corporate, divisional, and global QMS requirements. Assess and quantify QMS support requirements, ensuring the right structure is in place for effective service delivery. Promote Good Manufacturing Practices (GMP) and Good Documentation Practices (GDP) within the Quality department. Identify and implement opportunities for continuous improvement to enhance the efficiency and effectiveness of QMS processes. Develop and deliver QMS-related training and compliance programs for the team. Assist in the development, maintenance, and continuous improvement of QMS policies, procedures, and systems. Implement best-in-class QMS practices, benchmark against industry leaders, and ensure alignment with regulatory requirements. Ensure QMS accurately reflects actual business activities and supports New Product Introduction (NPI) needs. Contribute to the development or modification of regional/local QMS in a project environment. Participate in IT discussions, offering insights from a QMS perspective, and contribute to SRS/URS activities as needed. Support the business during audits, providing insights into system functionality. What You Need: Required: B.Tech (Electronics, Electrical, or Mechanical) with 5-7 years of experience in supplier quality. Knowledge of ISO 13485, FDA, EUMDR, and regional medical device regulatory requirements. Strong communication skills to effectively share information with team members, leaders, management, and suppliers. Experience supporting third-party inspections (FDA, notified body, etc.) within the medical device industry. Understanding of quality systems and web-based interactions. Excellent interpersonal skills for collaborating with cross-functional teams (engineering, R&D, manufacturing, and regulatory affairs). Proven ability to execute and lead projects, with a strong understanding of project stages. Proficiency in improvement methods and processes. Preferred: Understanding of medical device regulatory compliance (ISO 13485, CFR 820, or equivalent). Strong communication and influencing skills, with the ability to manage multiple tasks and represent the quality function across teams. ISO 13485 Lead Auditor certification or equivalent. Health Benefits: Medical, dental, and vision insurance Prescription drug coverage Critical illness, accident, and hospital indemnity insurance Personalized healthcare support, wellness programs, and tobacco cessation Financial Benefits: Health Savings Account (HSA) and Flexible Spending Accounts (FSAs) 401(k) plan with company match Employee Stock Purchase Plan (ESPP) Life insurance, short-term disability insurance About Stryker: Stryker is a global leader in MedSurg, neurotechnology, and orthopedics, helping improve patient and healthcare outcomes. Every year, we impact over 150 million patients globally. Depending on role requirements, employees may need to obtain vaccinations as an essential function of their role when accessing customer accounts. Qualification : B.Tech (Electronics/Electrical/Mechanical) with 5-7 years of experience in Supplier quality.

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.

Your Impact In this role, you will collaborate closely with the Service Operations Center of Competence (SO CoC) team to tackle complex client challenges using our established portfolio of offerings and solutions. You will also contribute to the development of new proprietary tools, benchmarking databases, and knowledge resources. A key aspect of your role will be driving people development mentoring colleagues, conducting evaluations, and creating growth opportunities. Using a strength-based approach, you'll work with SO CoC team members and global service operations experts, ensuring efficient management of workflows and teams, with a focus on operational process management and innovation. You'll also be accountable for meeting utilization targets for the SO CoC India team. As you evolve into a trusted and proactive leader, you will inspire others by example, build trust-based relationships across the firm, and contribute to defining internal knowledge strategy. You ll drive strategic initiatives, help organize internal practice events, and thrive in an ever-changing, fast-paced environment where priorities shift and methodologies are continuously reassessed. In addition, you will serve as a thought partner to consultants and clients, offering strategic guidance and identifying opportunities to expand the impact on both clients and teams. You will approach problem-solving creatively, often taking the initiative without waiting for direction, and collaborate proactively to create reusable knowledge and capabilities that capture the insights gained from McKinsey s engagements and changes in the business environment. Your Growth Based in our Gurgaon office, you will join the Service Operations (Services Ops) service line within our Operations practice. The SO CoC team combines industry, functional, and regional expertise to address clients' most pressing challenges related to efficiency and effectiveness improvement in back-office and customer operations. You will collaborate with colleagues working across diverse industry sectors such as Banking, Insurance, Healthcare, Telecom, Hi-Tech, Transport & Logistics, and Energy, addressing service operations domains like corporate functions (e.g., HR, Finance), customer care, and workforce management. Your role will involve blending strategic thinking with operational expertise, advising clients on developing and defining operational strategies that help solve critical service operations challenges worldwide. Your Qualifications and Skills A strong academic background with a graduate degree is essential; an advanced degree in business, economics, or an MBA is preferred. At least 2 years of relevant experience in team management and knowledge management. Proven success in managing teams or delivering complex projects on an international or regional scale. Strong stakeholder management experience, particularly in diverse cultural environments. Ability to coach and mentor team members from varied backgrounds, guiding their performance and development. A demonstrated history of developing sustainable tools, solutions, or assets. Familiarity with Service Operations, with an understanding of its economic and business implications. High initiative and accountability, with a proactive approach to work and responsibility for outcomes. Excellent problem-solving, analytical, and quantitative skills, with the ability to develop creative solutions. Proficiency in written and spoken English for clear and effective communication. A professional demeanor, high work standards, and maturity in all interactions. Qualification : A strong academic background with a graduate degree is essential; an advanced degree in business, economics, or an MBA is preferred.

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Job description About this role The Role: The role of an Executive Researcher is instrumental in building human capital at BlackRock. Part investigative research, part consultancy and part analytical the role is varied and requires intelligence, an understanding of business and a good eye for detail. The Executive Researcher will leverage his/her research expertise and knowledge of the Financial Services sector to support the team s development. This includes both execution of requisitions globally as well as leading and supporting knowledge management initiatives. The Executive Researcher will work closely in collaboration with the executive recruiters around the world as a fully integrated team member on senior-level, international projects. Key responsibilities Requisitions: Demonstrate excellent research expertise and build in-depth knowledge of key markets and talent pools. Leverage individual and Firm knowledge/experience to act as a key enabler in the start-up phase of the search process. Identify potential candidates through internal/external sources. Analyzing information to develop insights and business intelligence. Partner closely with the Executive Recruiting team throughout the processes to bring forward candidate solutions and supporting client materials, such as client-ready documents and progress reports. Ensure the real-time capture of insights on candidates and companies and create a repository for the broader benefit of the research team. Maintain accurate and real-time updates in proprietary internal database. Promote best practices across the organization. Provide a high touch recruiting experience to our candidates, ensuring real time status updates in close partnerships with the recruiters and hiring managers. Partner with colleagues in the Talent and Diversity team. Leverage networks, and external suppliers/partners to ensure BlackRock has a high-quality diverse talent slate for all roles. Assist with candidate development and assessment, database management, and knowledge management. Knowledge Management initiatives: Track market/ candidate developments and disseminating this information in a targeted manner. Provide synthesized analysis of markets, competitors and compensation as required. Proactively provide insights on industry trends and key companies Proactively support knowledge management activities (organizational charts, candidate lists, industry trends) Record pertinent information in a timely manner; ensure relevant learnings and documents are captured and disseminated. CANDIDATE PROFILE Knowledge/Experience: An undergraduate degree from an accredited academic institution is required, and an advanced degree is an advantage. Knowledge and experience in the Financial Services sector 2+ years of research experience; experience of working on international engagements in a professional services environment would be an added advantage. Previous experience with candidate sourcing tools and methods Experience of working on international/ global engagements in a professional services environment. The ability to establish priorities, manage deadlines and exercise a high degree of professionalism in interactions with all levels of clients. Ability to be proactive and take initiative, follow-up and follow through on all areas of responsibility and anticipate business needs and plan accordingly. Knowledge of Microsoft Office and how to use its suite. Experience of working across geographies and building relationship networks through virtual teams. Skills: Excellent communication skills, superior organization, prioritization, and self-motivation skills. Highly effective interpersonal skills to facilitate frequent interaction with colleagues around the world and build effective, trust-based working relationships. Confident and concise style Drive for learning / intellectual curiosity; asks questions and seeks input from colleagues to build knowledge and expertise. Able to challenge own assumptions and engage in active listening and critical thinking. Proactive; has a can do attitude. Comfortable with ambiguity and a fast-paced environment. Skilled in operating in a team environment and work collaboratively. Structured and systematic in approach. International outlook and multicultural mindset. #EarlyCareers Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Qualification : An undergraduate degree from an accredited academic institution is required, and an advanced degree is an advantage.

Job Summary: We are seeking a Sales Data Analyst to support our sales team by performing repetitive reporting tasks, system administration, and data analysis to improve business insights. The ideal candidate will be proficient in data collection and analysis from internal and external sources, ensuring accurate and timely reporting to assist in sales forecasts and decision-making. This role requires someone with a strong focus on process efficiency and the ability to adapt to evolving business needs. Key Responsibilities: 1. Reporting: Consolidate and distribute sales reports under limited supervision. Gather data from various sources using existing templates and provide input for forecasting. Conduct regular data analysis to ensure accurate and complete sales reports. 2. System Administration: Run repetitive and ad-hoc tasks on sales systems and tools (e.g., Salesforce, WWSPS, BMS, Portal). Periodically review user-entered data to ensure its completeness. 3. Data Analysis (Internal & External): Conduct ad-hoc and recurring analyses of external data sources (e.g., Polk, Dodge, RigDig). Research and compile competitive data and opportunities through secondary research. Perform internal sales analyses such as variance, projections, costing, and bundling. Competencies & Skills: Action Oriented: Take on new opportunities and challenges with urgency, energy, and enthusiasm. Adapt quickly to changing needs and work with high efficiency. Collaboration: Build partnerships and collaborate with others to achieve shared goals. Effective Communication: Communicate complex data and insights clearly to diverse audiences, ensuring they understand and act upon the information. Self-Development: Actively pursue opportunities for personal and professional growth. Data Analytics: Interpret both qualitative and quantitative data to draw meaningful insights. Use frameworks and methodologies to present data findings that influence business decisions. Project Schedule Management: Manage schedules using appropriate tools to ensure timely completion of tasks and projects. Adapts to Target Audience: Explain technical data in a simplified manner that can be understood by non-technical audiences. Customer Perspective Integration: Incorporate an understanding of customer needs to develop sales strategies that drive revenue and customer satisfaction. Values Differences: Embrace diverse perspectives and foster an inclusive environment. Qualifications: Education: High school diploma or equivalent is required. A relevant certification or further education in data analysis or sales is preferred. Experience: Some work experience in a data analysis or sales support role is required. Intermediate-level knowledge of sales systems and tools through training or on-the-job experience. Skills: Primary and Secondary Sales Mechanics Connect Fleet Approach Reborer Connect Additional Requirements: This position may require licensing for compliance with export controls or sanctions regulations. Benefits: Competitive salary and benefits package. Opportunities for skill development and career growth. Supportive, collaborative work environment. This role is an exciting opportunity for someone with a keen eye for data and a passion for supporting sales teams with actionable insights. If you're looking to contribute to a dynamic team, apply today! Qualification : High school diploma or equivalent is required.

Position Title: Global Services Group (GSG) MIS & Analytics Analyst Functional Overview: The Global Services Group (GSG) delivers exceptional customer care, handling key functions such as Credit, Collections, and Fraud Services for our Cardmembers, Merchants, and Commercial Clients globally. Within GSG, the Late-Stage MIS & Analytics team plays a pivotal role in supporting executive leadership with comprehensive data insights, performance tracking, and business intelligence to drive key operational decisions. What You'll Do: MIS & Analytical Support: Provide in-depth MI and analytical support to executive leadership, focusing on key operations metrics across all Servicing functions within GSG. MIS Maintenance & Issue Resolution: Ensure the smooth operation of existing MIS systems, identify any data deficiencies promptly, and collaborate with relevant teams to resolve issues. Leadership Reporting & Insights: Understand and translate leadership's analytical and reporting needs into effective, user-friendly solutions that enhance decision-making. Industry Trends & Methodologies: Stay updated with the latest industry trends in analytics and emerging technologies, continuously improving reporting processes and methodologies. Required Qualifications: Technical Proficiency: Strong expertise in Hive, SQL, Big Query, Python, and statistical packages, with a solid understanding of Big Data ecosystems. Data Visualization: Proficient in using Tableau and Power BI to create impactful data visualizations. Communication & Relationship Management: Excellent communication skills with the ability to build strong relationships and collaborate effectively with leadership and cross-functional teams. Multitasking & Flexibility: Ability to manage multiple projects simultaneously, work under tight deadlines, and adapt to changing priorities. Analytical Mindset: Strong background in quantitative business analytics, with a creative and conceptual approach to solving business problems. Project Management Skills: Ability to manage projects effectively, translating business requirements into actionable insights and driving successful outcomes. Benefits & Perks: Competitive Compensation: Base salary and bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location). Access to on-site wellness centers (where applicable). Work-Life Balance: Flexible working arrangements, including hybrid, onsite, or virtual roles, depending on business needs. Parental Leave: Generous paid parental leave policies (depending on location). Career Development: Opportunities for continuous learning, career development, and training. Mental Health Support: Access to free, confidential counseling support through the Healthy Minds program. Why American Express? American Express is an equal opportunity employer, committed to creating a diverse and inclusive workplace. We offer a culture where everyone is seen, heard, and valued. Employment decisions are made based on merit, 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.

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

Description - Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. Position Summary Be the key point of contact for building market awareness, content & messaging development and running campaigns, & customer advocacy for large portfolio of End Point Manage Services including digital services. Should be expert with all stages of the IT Services buying life cycle and align marketing programs that drives momentum at various stages through a mix of demand generation, awareness programs, thought leadership, digital and social media plans. Responsibilities: Establish HP Services as an industry leader, improving services brand perception, drive demand across target customers, media, ecosystem partners, analysts and more Design, develop and execute an integrated marketing plan aligned to business goals. Leverages market insights and category product/solution roadmaps to develop customer segmentation and audience strategies to differentiate HP in customer journey. Develop and execute activities with sales/ presales/ large deals teams through deal interventions, client visits to help build marketing influenced pipeline. Acts as subject matter expert across customer segments, markets, and countries to develop new marketing strategies and approaches to accelerate HP success in priority categories and new businesses. Coordinates execution across all marketing plan deliverables and milestones with cross-functional teams. Defines goals to measure the success and business impact of the marketing plans. Exercises high level of digital marketing transformation knowledge to advance HP's position in new digital capabilities and touchpoints to increase marketing programs effectiveness and efficiency. Education and experience Required: MBA in marketing will be preferred 7+ years in B2B marketing, preferably Technology marketing Strong project management skills and high attention to detail and quality deliverables Experience in Marketing database such as MRM or CRM applications Knowledge and Skills: Strong strategic business understanding of the IT Services market. Expert knowledge of marketing principles, practices, tactics and digital marketing stack/tools. Expert knowledge of IT Services market, offerings, segments, and account-based marketing. Expert knowledge of digital marketing platforms (media, social, e-commerce) and customer journeys. Excellent influencing, consensus-building skills, and execution skills. Excellent written/oral communications and analytical skills. Excellent interpersonal and project management skills; ability to build and manage virtual teams. Excellent negotiating and change management skills Ability to interface effectively with management team and functional disciplines. Qualification : MBA in marketing will be preferred

Description - Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. Position Summary Be the key point of contact for building market awareness, content & messaging development and running campaigns, & customer advocacy for large portfolio of End Point Manage Services including digital services. Should be expert with all stages of the IT Services buying life cycle and align marketing programs that drives momentum at various stages through a mix of demand generation, awareness programs, thought leadership, digital and social media plans. Responsibilities: Establish HP Services as an industry leader, improving services brand perception, drive demand across target customers, media, ecosystem partners, analysts and more Design, develop and execute an integrated marketing plan aligned to business goals. Leverages market insights and category product/solution roadmaps to develop customer segmentation and audience strategies to differentiate HP in customer journey. Develop and execute activities with sales/ presales/ large deals teams through deal interventions, client visits to help build marketing influenced pipeline. Acts as subject matter expert across customer segments, markets, and countries to develop new marketing strategies and approaches to accelerate HP success in priority categories and new businesses. Coordinates execution across all marketing plan deliverables and milestones with cross-functional teams. Defines goals to measure the success and business impact of the marketing plans. Exercises high level of digital marketing transformation knowledge to advance HP's position in new digital capabilities and touchpoints to increase marketing programs effectiveness and efficiency. Education and experience Required: MBA in marketing will be preferred 7+ years in B2B marketing, preferably Technology marketing Strong project management skills and high attention to detail and quality deliverables Experience in Marketing database such as MRM or CRM applications Knowledge and Skills: Strong strategic business understanding of the IT Services market. Expert knowledge of marketing principles, practices, tactics and digital marketing stack/tools. Expert knowledge of IT Services market, offerings, segments, and account-based marketing. Expert knowledge of digital marketing platforms (media, social, e-commerce) and customer journeys. Excellent influencing, consensus-building skills, and execution skills. Excellent written/oral communications and analytical skills. Excellent interpersonal and project management skills; ability to build and manage virtual teams. Excellent negotiating and change management skills Ability to interface effectively with management team and functional disciplines. Qualification : MBA in marketing will be preferred