Senior FinOps Data Analyst

Anaplan
Gurugram, IndiaPosted 18 March 2026

Job Description

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Your Impact The Senior FinOps Data Analyst will be responsible for preparing and delivering complex data products and analysis based on Cloud Service usage, cost, and revenue data as specified by Anaplan Engineering and Business teams. This will include the preparation of ad hoc reports and insights as well as the design, development and ongoing maintenance of high quality “always on” reporting/ decision support capabilities in tools including PowerBI and Anaplan. As a senior member of the team you will be expected to own a functional area within the team as well as provide leadership and coaching to more junior team members. The candidate will have hands-on experience with Google and AWS Data Products, analysis tools including SQL, Python, PowerBI and Databricks as well as familiarity with Cloud Services from major providers such as AWS, GCP and Azure. Key Responsibilities: Analysis Design, Build and Maintain, Explain: Collaborate with stakeholders to design reports in PowerBI and other platforms as needed as well as analytical data sets, including prototyping, usability testing, and data visualization, present and maintain these reports to meet ongoing business needs. Work with internal Engineering, Finance and Product teams to ensure that FinOps data products continue to meet stakeholder needs Work with internal Engineering, IT and Product teams to make sure they are aware of FinOps’ data needs and that they are prioritized and delivered in a timely fashion. Document and maintain Anaplan FinOps data products including data sets, integrations, and reports. Budgeting Forecasting: Assist in the development and maintenance of budgets and forecasts for cloud services and track performance against budget with actuals. Perform regular reviews with stakeholders to ensure financial, business and capacity goals are met. Data Modeling: Develop and maintain data models as needed to support business requirements. Collaboration: Work closely within the FinOps team, Finance, Engineering, AoA, and as needed with data scientists/ analysts, and other stakeholders to deliver high-quality data products, reports and analysis. Your Qualifications Critical thinking and problem solving: The ability to critically analyse your own as well as the team’s work. The ability to think broadly to inform stakeholder requirements as well as provide guidance on where insights are useful Google Data Services: Use Google Data Products including BigQuery to deliver analysis as required by stakeholders. AWS Data Services: Use AWS Data Products such as Athena and Redshift Databricks: Use of Databricks for analysis. BI Tools: 4 to 5 years of working knowledge with BI tools (e.g., PowerBI, Tableau), the development lifecycle of BI, report building and scheduling, data modeling within these tools. Python: 3 to 4 years of hands-on experience with Python, especially in handling semi/unstructured data and REST API ... (truncated, view full listing at source)
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