Dashboards Jobs in Gurgaon

Eshopbox is looking forward to onboard a professional MIS Executive to coordinate with our management and support our business in day to day activities. The executive will be working closely with our management team to provide necessary data and operations from time to time. Wondering what your Responsibilities would be? Preparing Daily/Weekly & Monthly MIS reports of orders and returns. Generating and distributing management reports in an accurate and timely manner. Providing strong reporting and analytical information support to the management team. Last-mile orders tracking and handling client s queries. Managing website refunds. Analyzing Data and Publishing Reports. What Makes you Eligible? Relevant experience of 1-2 years. Good interpersonal, Analytical skills. Good Communication skills - verbal and written. Operational Excellence and Problem Solving. Proficient in Excel. Great attention to detail. Excellent Organizational skills. Bachelor s degree Qualification : Bachelors degree

Assistant Manager / Sr. Executive - Performance Marketing Location: Gurugram, Haryana, India Employment Type: Full-time About ixigo ixigo is a leading travel-tech company based in India, empowering millions of travelers to plan, book, and manage their trips across rail, air, buses, and hotels. Using cutting-edge AI, machine learning, and data science, ixigo helps travelers make smarter decisions. With the inclusion of ConfirmTkt and AbhiBus in 2021, ixigo is positioned as one of the top 10 most downloaded travel apps globally, as per data.ai (2022). We re headquartered in Gurugram, with additional offices in Bangalore and Hyderabad. Job Description We are looking for a Performance Marketer with a creative, analytical mindset to help ixigo continue to grow. In this role, you will manage campaigns across various digital marketing platforms to drive high-quality user acquisition and optimize return on investment (ROI). You will work in a fast-paced startup environment, thrive on problem-solving, and take ownership of driving the growth of one or more of ixigo s products. Your ability to leverage data, craft creative strategies, and test various channels to improve performance will be essential to your success. This is an exciting opportunity to have a direct impact on the growth of our digital platforms. Key Responsibilities Campaign Management: Own and manage paid marketing campaigns across platforms such as Google, Facebook/Instagram, Apple Search Ads, Bing, Snapchat, Twitter, Quora, etc., ensuring the highest possible user acquisition quality. Performance Analysis: Track, report, and analyze performance KPIs across all channels to optimize campaigns and maximize ROI. Highlight potential trade-offs between CPA-based activities, and make data-driven recommendations on budget allocation and strategy adjustments. Growth Strategy Development: Leverage market research and audience insights to segment, target, and engage potential customers effectively. Design creative, data-backed marketing strategies and test campaigns to identify opportunities for improving user engagement and growth. Identifying New Channels & Opportunities: Explore new and emerging marketing channels to drive faster adoption and identify viral growth opportunities. Experiment with new platforms, products, and technologies to uncover strategies that drive growth. Product & Content Optimization: Work closely with product and content teams to identify opportunities for driving viral growth and improving acquisition efforts. Testing and Iteration: Use A/B testing tools, Google Analytics, Adjust, and Firebase to measure, experiment, and refine campaign strategies. Creative Skills: Collaborate with design teams and use tools like Photoshop (or other basic image-editing tools) to create high-quality visual assets for marketing campaigns. Qualifications Must-Have Skills & Experience Education: B.Tech/B.E. from a Tier 1 college (MBA is a plus). Experience: 2 - 4 years of hands-on experience driving user acquisition through digital channels for mobile and internet products. Experience with digital marketing channels such as Google Ads, Facebook/Instagram, Snapchat, Twitter, Apple Search Ads, Quora, etc. Marketing Expertise: Deep understanding of Search Engine Marketing (SEM), Social Media, and Content Marketing strategies. Strong knowledge of A/B testing, Google Analytics, Adjust, Firebase, and other digital marketing tools. Creative & Analytical Skills: Strong creative intuition and analytical thinking akin to a Product Manager. Ability to generate creative marketing solutions while keeping an eye on performance metrics. Technical Acumen: A solid grasp of user behavior and mobile app marketing. Experience using image editing tools (e.g., Photoshop) for campaign assets is a plus. Growth Mindset: Strong curiosity about new apps, web products, SaaS tools, and platforms that can drive faster growth. A knack for identifying trends and testing new ideas to find what works. Behavioral Traits Communication: Exceptional communication skills with the ability to express complex ideas in simple and easy-to-understand terms. Creative Problem-Solver: Ability to come up with creative and effective solutions to marketing challenges. Startup Mindset: Thrive in an an informal startup environment and bring a hands-on, proactive attitude to the table. High Energy & Drive: Possess a high energy level with a commitment to achieving goals and driving team success. Impact: Own and drive the performance marketing strategy for ixigo s products. Dynamic Environment: Work in a fast-paced, high-energy startup culture. Growth Opportunities: Learn and grow in an environment that fosters creativity and innovation. Competitive Compensation: We offer attractive pay and benefits.

Category: Administrative Staff Type: Full Time Location: Medanta, Gurugram Job Description: Data Analysis: Collect, clean, and analyze inventory and store data to identify trends, variances, and operational inefficiencies. Develop data models, reports, and dashboards that provide actionable insights into stock levels, order patterns, and consumption rates. Collaborate closely with inventory, procurement, and supply chain teams to enhance forecasting and stock replenishment strategies. Utilize data visualization tools such as Excel, Power BI, and PowerPoint to present complex data clearly and effectively. Coordinate with the IT team to develop automated reporting tools. Auditing: Conduct audits on inventory records, store transactions, and stock management processes to ensure compliance with company policies. Perform physical stock verifications and reconcile discrepancies with system records. Assess internal controls, risk management practices, and the effectiveness of store and inventory operations. Prepare detailed audit reports with actionable recommendations to mitigate risks and improve accuracy. Ensure timely follow-up on audit action plans and report progress to management. MIS Preparation and Reporting: Develop and maintain comprehensive MIS reports to track key performance indicators (KPIs) related to inventory and store management. Prepare daily, weekly, and monthly performance and inventory status reports. Provide insights and recommendations to senior management based on MIS data analysis to support strategic decision-making. Design custom reports and templates to better monitor inventory movement and storage efficiency. Ensure timely dissemination of reports and data insights to relevant stakeholders. Qualifications: Bachelor s degree in any field. Proven experience (1-3 years) in data analysis, auditing, and MIS reporting preferably in inventory or supply chain management. Proficiency in data analysis tools and ERP systems such as Excel, SAP, and Power BI. Basic knowledge of inventory management and control processes. Strong analytical, problem-solving, and communication skills. Qualification : Bachelors degree in any field.

Job Title: Senior Software Developer (SAP BusinessObjects) Location: Gurugram, India Job Type: Full-Time | Permanent About G+D For over 170 years, Giesecke+Devrient (G+D) has been a global leader in SecurityTech, delivering innovative solutions in Digital Security, Financial Platforms, and Currency Technology. We safeguard physical and digital currencies worldwide. Join us and help shape the future of secure payments and cash management. Role Summary As a Senior Software Developer (SAP BusinessObjects), you will design, develop, and test reports and dashboards for our Compass Cash Center product, which serves banks and cash-in-transit businesses globally. You will focus on SAP BusinessObjects data engineering, universe design, and report creation to provide actionable insights supporting cash management operations. You will collaborate closely with cross-site Scrum teams based in India and Germany. Key Responsibilities Design, implement, and test SAP BusinessObjects reports for cash management solutions. Develop and maintain data models and universe designs aligned with reporting requirements. Create custom Web Intelligence reports and interactive dashboards. Collaborate with stakeholders to gather and understand detailed reporting needs. Assist in effort estimation for new reports and enhancement projects. Troubleshoot and resolve report development and performance issues. Develop proof of concepts (PoCs) to validate reporting designs and assumptions. Provide user training and documentation for reporting tools and processes. Participate in continuous development process improvements. Required Skills & Qualifications Bachelor s degree in Computer Science or related field. 5+ years of experience developing reports using SAP Business Intelligence (SAP BO 4.x). Certification in Web Intelligence for Business Intelligence (BI) Analytics preferred. 2+ years of experience with RDBMS technologies (Oracle, SQL Server). Strong proficiency in SQL and experience with Java and .NET applications. Hands-on experience with SAP BO Administration and universe design. Familiarity with version control tools like Git and Azure DevOps. Excellent troubleshooting and debugging skills. Strong communication skills with experience in multicultural team environments. Our greatest asset is our people. We foster an inspiring and diverse workplace that values professionalism, human values, and continuous growth. Join our international team and help improve security for billions worldwide. Qualification : Bachelors degree in Computer Science or related field.

Job Title: Program & Strategy Manager CEO s Office Location: Gurugram, Haryana, India (Onsite, Full-Time) Experience: 3+ Years | Department: CEO s Office / Strategic Initiatives About Spyne At Spyne, we are redefining how cars are marketed and sold using cutting-edge Generative AI. What began as a bold idea to automate car visuals has evolved into a full-scale, AI-powered automotive retail ecosystem. We are backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors. In the last 15 months alone, we've expanded into the US and EU, launched industry-first AI image and 360 solutions, and achieved a 5x revenue surge with even greater growth ahead. Now, we re building a complete AI Retail Suite and scaling our footprint to 150K+ dealerships globally. Role Overview As a Program & Strategy Manager, you will work directly with the CEO s Office to lead and drive the adoption of Agentic AI (autonomous, goal-driven AI systems) across the organization. This includes Product, Engineering, Sales, Marketing, HR, Finance, Customer Success, and more. You ll be responsible for managing high-impact programs that integrate AI-driven automation into our operations, while also supporting strategic initiatives that align with Spyne s rapid growth and vision. What You ll Do Agentic AI Transformation Lead company-wide adoption of Agentic AI systems across key business functions Drive automation using tools like GPT-based agents, RPA, no-code AI platforms, and AutoML Define metrics to track AI-driven efficiency and performance improvements Work closely with Data & Engineering teams to integrate AI into existing workflows Conduct internal workshops to upskill teams on AI tools and practices Strategic Program Management Develop and execute strategic initiatives aligned with overall business objectives Own cross-functional programs focused on revenue growth, operational efficiency, and customer acquisition Track key business KPIs and ensure timely execution of high-impact priorities Support leadership with executive presentations, investor updates, and business reviews Work directly with the CEO on mission-critical business priorities Stakeholder & Team Collaboration Serve as the liaison between the CEO s office and all functional leaders Manage relationships with key AI vendors and partners (OpenAI, Microsoft, etc.) Enable adoption of AI across departments through communication and change management Build internal tools and dashboards for strategic visibility and impact tracking Experience & Background 3+ years in Program Management, Product Strategy, Business Ops, or similar roles Proven track record in managing cross-functional, strategic initiatives Strong experience in analytics (Excel, SQL, BI tools like Tableau, Looker, or Power BI) Technical Acumen Basic familiarity with LLMs and AI tools (OpenAI, Hugging Face, Anthropic, etc.) Ability to collaborate with AI/ML engineering teams and understand core technical concepts Strong understanding of business process automation and digital transformation Soft Skills Excellent communication and stakeholder management skills Strategic thinker with strong problem-solving abilities High ownership mindset and the ability to thrive in fast-paced, high-growth environments Why Join Spyne At Spyne, we re not just building AI products we re building the future of work. You ll be part of a driven, high-performance team in a company where speed, innovation, and ownership define our culture. What You ll Get: Opportunity to work directly with leadership on strategic initiatives Comprehensive health insurance (GMC, GPA, GTLI) Career growth with leadership exposure and equity options for top performers Office-first, high-energy environment that encourages real-time collaboration A young, driven team (average age: 25 26) working alongside seasoned professionals Our Values Customer Obsession: Every initiative is measured by the value it brings to customers Speed Over Perfection: Fast execution is key learn and iterate quickly Extreme Ownership: Own the outcomes, not just the process 10x Innovation: Think bigger and solve at scale A-Team Standards: We hire top talent and enable them to grow fast

Growth Analyst Location: Gurugram, India Employment Type: Full-time About ixigo ixigo is a technology company revolutionizing the way Indian travelers plan, book, and manage their trips. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo helps travelers make smarter decisions through AI, machine learning, and data science. With apps like ixigo, ConfirmTkt, and AbhiBus, ixigo offers travelers the ability to book train, flight, bus tickets, hotels, and much more. In 2022, ixigo was named one of the Top 10 Most Downloaded Travel Apps worldwide (data.ai). Headquartered in Gurugram, ixigo also has offices in Bangalore (ConfirmTkt) and Hyderabad (AbhiBus). Job Description We are looking for a Growth Analyst to join our dynamic team. As a Growth Analyst, you will help us unlock growth opportunities by analyzing customer behavior and campaign performance. You will collaborate closely with marketing, product, and data teams to develop data-driven strategies that drive user acquisition, activation, retention, and revenue growth. Your work will directly impact how we scale smarter and faster. Key Responsibilities Data Analysis & Insights: Analyze user behavior, campaign performance, and funnel metrics to identify and drive growth opportunities. Reporting & Dashboards: Build and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to track key performance indicators (KPIs). Data Querying & Processing: Develop SQL queries to extract, clean, and aggregate data from various sources and databases. A/B Testing & Experimentation: Design and run A/B tests and experiments to evaluate new growth initiatives and optimize performance across all user touchpoints. Strategic Collaboration: Work closely with marketing and product teams to design data-driven growth strategies that increase customer acquisition, activation, retention, and lifetime value (LTV). Campaign Measurement & Optimization: Support the measurement of paid and organic campaigns (including email, search, social media) and provide actionable insights to improve their effectiveness. Core Technical Skills SQL & Relational Databases: Advanced querying skills, performance tuning, working with window functions and CTEs. Data Visualization & BI: Proficiency in tools like Tableau, Power BI, or Looker for building dashboards and reports. Spreadsheet Modeling: Expert-level proficiency in Excel (pivot tables, macros; VBA is a plus). Scripting Languages: Familiarity with at least one scripting language (e.g., Python or R) for data cleaning, ETL tasks, and basic machine learning prototypes. Marketing Analytics Tools: Hands-on experience with Clevertap and Firebase for user engagement and campaign tracking. Good to Have Marketing Analytics Tools: Experience with tools like Google Analytics 4, Mixpanel, and Clevertap for campaign performance tracking. Ad Platforms: Basic understanding of programmatic ad platforms (e.g., DV360, Meta Ads API). Data Warehouses: Exposure to SQL-based data warehouses like Snowflake, BigQuery, or Redshift. Impactful Work: Directly contribute to the growth and success of a leading travel tech company. Collaborative Culture: Work with talented professionals across diverse teams. Career Growth: Opportunities for fast-paced career development. Competitive Compensation: Enjoy a competitive salary and benefits package. Work-Life Balance: We encourage a healthy work-life balance in a supportive environment.

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.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

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.

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.

BlackRock - Microsoft Dynamics Engineer About the Team The Dynamics Solution Center team s mission is to create best-in-class experiences for our business users by providing a reliable and effective service in developing and supporting the use of the MS Dynamics platform. Role Overview We are looking for a Microsoft Dynamics Engineer to design, develop, and customize Microsoft Dynamics 365 for BlackRock s Sales and Service teams, and their partner teams. Primary Responsibilities Customization and Configuration: Assist in customizing and configuring Microsoft Dynamics 365 modules to meet business requirements. Help develop and maintain custom entities, workflows, and business rules. Support the creation and modification of forms, views, and dashboards. Integration and Data Migration: Assist in integrating Microsoft Dynamics 365 with other systems (e.g., SharePoint, Power BI, Azure). Collaborate with Aladdin Engineering on integrations. Support data migration from legacy systems to Dynamics 365. Development and Extensions: Assist in developing extensions using Power Platform (PowerApps, Power Automate, Power BI). May need to write custom code (JavaScript, C#, .NET) to enhance functionality. Collaborate with senior developers on complex projects. Support and Troubleshooting: Provide technical support to end-users and help resolve issues related to Dynamics 365. Assist in debugging and troubleshooting system errors and performance bottlenecks. Collaboration and Documentation: Work closely with business analysts, project managers, and stakeholders to gather requirements. Help document technical specifications, solution designs, and code changes. Essential Skills / Experience Minimum of 2+ years experience in a technical role and 1+ years experience with Dynamics 365 and/or Power Platform engineering. Basic technical skills covering Power Automate & Power Apps. Experience in customization and configuration is a plus. Familiarity with building and deploying solutions in Microsoft Dynamics and the Power Platform. Basic understanding of D365 Sales and Customer Services applications. Understanding or experience in writing code in JavaScript, C#, or .NET is a benefit. Good written and verbal communication skills and the ability to gain buy-in from a non-technical audience at varying degrees of seniority. Positive attitude and resilience, with strong problem-solving skills. Ability to work effectively with cross-functional teams. 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. Our Hybrid Work Model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.

Job Information: Work Experience: 3+ years Industry: IT Services Job Type: FULL TIME Location: Gurgaon Key Responsibilities: Ability to drive the major incident to resolution as Incident commander and involve in the post-mortem process. Identify gaps within the current monitoring infrastructure and create/enhance tools to address them. Perform event root cause analysis using logs, tools, and available documentation. Contribute to documentation to improve resolution time. Assess the impact of the potential client or platform-wide incidents and escalate to the appropriate teams. Timely escalation of problems that could be potential risks. Experience with logging/monitoring tools (Kibana, Grafana, Prometheus, or any other standard monitoring tool). Working understanding of web infrastructure (Load balancers, application servers). Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience). 3+ Years of experience as Devops Engineer. Terraform and CI/CD configuration, pipelines, and jobs. Must have strong knowledge of Terraform. Must have experience in Python. Kubernetes understanding, CLI, service re-provisioning. Must have experience creating Helm charts and performing common k8s maintenance tasks. Minimum 3 years of experience working with containerized applications. Should have hands on experience with AWS Services. Solid understanding of system performance and monitoring. Demanding high availability of service and quality of support service to the customer. Operating system (Linux) configuration, package management, startup, and troubleshooting. Good communication skills with an ability to relay incident details expeditiously, concisely, and accurately. Strong knowledge of infrastructure and application development toward operational support. Highly motivated individual, Self-starter, and a quick learner. Extensive knowledge of Incident/Change/Problem management. Ability to write simple to moderately complex scripts and programs for automation, tools, frameworks, dashboards, alarms. (Python, TypeScript, Bash). Qualification : Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience).

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

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.

Product Analyst - Team Lead (Risk) Location: Gurugram, Haryana (On-site) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, transforming commerce for millions of small businesses. Our mission is to empower half a billion Indians by bringing them into the mainstream economy using innovative technology. About the Team The Credit Risk Product Team plays a critical role in lending by developing efficient, scalable, and compliant risk assessment models. The team partners with data scientists, engineers, and business stakeholders to refine underwriting processes through advanced analytics and machine learning optimizing loan performance and minimizing defaults. Role Overview We are looking for a detail-oriented Product Analyst to lead credit risk initiatives. In this role, you will implement and optimize credit risk policies while ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance underwriting models and risk decision frameworks. Key Responsibilities Analyze credit risk across multiple credit products, such as credit cards, merchant loans, and personal loans. Collaborate with business teams to understand and implement credit risk policies on the platform. Monitor and evaluate the performance of risk policies; provide actionable feedback to Product and Policy teams. Leverage alternative data sources, machine learning models, and traditional credit assessments to improve risk evaluation. Conduct testing, scenario analysis, and policy resilience measurement. Track key risk indicators (KRIs) and generate insights for management. Ensure compliance with regulatory guidelines and internal risk frameworks. Work with product and technology teams to embed risk-based decision-making into lending workflows. Qualifications 1 2 years of relevant experience, preferably in fintech or banking. Strong proficiency in SQL and Python for data analysis and manipulation. Basic understanding of APIs and streaming platforms like Kafka is a plus. Excellent analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment and collaborate cross-functionally. Educational background: B.Tech from reputed institutes like NIT, BITS, or equivalent. Be part of India s largest fintech lending ecosystem with 500+ million users and 21+ million merchants. Work in a fun, energetic environment designed to help you reach your full career potential. Unique opportunity to shape India s largest digital lending story and drive financial inclusion.

Job Title: Data Analyst Department: S&P Global Commodity Insights About the Team: S&P Global Commodity Insights delivers essential intelligence for global commodity markets, ensuring data accuracy, consistency, and accessibility while driving innovation through advanced technologies and modern data management practices. As part of this team, you will play a pivotal role in shaping the future of commodity data and analytics in an evolving and dynamic environment. The Role: As a Data Analyst, you will be responsible for comprehensive data management, analysis, and project coordination. This includes gathering, cleaning, and organizing data from diverse sources such as Salesforce, Oracle, and Zuora, as well as performing analytical assessments and preparing impactful visualizations and reports for internal and external stakeholders. You will also support process optimization, quality assurance, and documentation management, collaborating closely with cross-functional teams to ensure alignment with business objectives. Key Responsibilities: Project Coordination and Administrative Support: Plan, organize, and track project timelines, deliverables, and milestones to ensure deadlines are consistently met. Lead cross-functional teams, clearly communicating project objectives, responsibilities, and expectations. Prepare meeting agendas, project status reports, and provide administrative support for project management processes. Data Management and Analysis: Collect and manage data from multiple sources, including Salesforce, Oracle, and Zuora, ensuring accuracy and completeness. Collaborate with Data Leads to align deployment schedules and project timelines. Work closely with the Data Management team to enforce data quality standards and processes related to ERP deployments, projects, and system enhancements. Deliver data analysis, design, and implementation tasks in accordance with agreed service levels (SLAs). Develop data visualizations and reports for internal teams and client presentations, effectively translating data into actionable insights. Identify process improvement opportunities through data analysis and recommend optimization strategies. Business Process Support: Partner with cross-functional teams to develop and support data-driven initiatives that align with business goals. Document process flows and contribute to change management efforts. Serve as a primary contact for key stakeholders, providing timely updates on project progress, risks, and outcomes. Quality Assurance: Review project deliverables to ensure they meet quality standards and client expectations. Conduct peer reviews of documents, presentations, and reports to ensure accuracy, consistency, and adherence to guidelines. Implement data validation processes to ensure data reliability and quality. Documentation Management: Maintain and standardize project-related documents to ensure accuracy and consistency across all materials. Organize and manage a well-structured repository of internal and client-facing documents, ensuring accessibility and version control. Qualifications & Skills: Basic Qualifications: Bachelor s degree in Business, Economics, Engineering, Computer Science, or a related field. 5-7 years of experience in a data analysis or project coordination role, preferably in a consulting or similar environment. Proficiency in Microsoft Office Suite, especially Excel, PowerPoint, and Word. Experience working with data management tools and technologies, along with strong analytical skills to interpret complex datasets. Detail-oriented mindset with a strong focus on data accuracy and process integrity. Excellent communication and leadership skills to effectively collaborate with cross-functional teams and stakeholders. Strong time management skills, with the ability to thrive in a fast-paced, deadline-driven environment. Preferred Qualifications: Familiarity with platforms such as Salesforce, Marketo, Oracle, Zuora, Snowflake, Databricks, Amazon Redshift, and Informatica. Experience working in Agile environments with a focus on Lean principles. Professional certifications such as: Salesforce Administrator or Business Analyst Lean Six Sigma PMP or PRINCE2 Certified Scrum Master About S&P Global Commodity Insights: At S&P Global Commodity Insights, we provide comprehensive intelligence and expert insights across global energy and commodity markets. Our trusted data and analysis empower customers to make informed decisions with confidence and create long-term value in an increasingly complex and rapidly evolving global landscape. We serve as a critical link, bringing together market participants, governments, regulators, and industry experts to co-create solutions that drive progress and support the energy transition. Our coverage spans oil and gas, power, chemicals, metals, agriculture, and shipping, offering a complete and integrated view of the commodities ecosystem. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI), the world s leading provider of credit ratings, benchmarks, analytics, and workflow solutions across capital, commodity, and automotive markets. Through our innovative products and services, we help organizations navigate today s challenges while planning for a successful future. Qualification : Bachelors degree in Business, Economics, Engineering, Computer Science, or a related field.