Cloud Financial Analyst

Associate 1 / Analyst-GTS Roles & responsibilities Required 2 - 4 or more years of experience with Cloud (IaaS, PaaS) Manage and Analyze cloud billing, cloud resources sizing and utilization data Analyze tagging compliance and suggest improvements to increase visibility for cloud expenditures Work with Data Engineer, interpret data sets, find data trends and patterns valuable for diagnostics, predictive analytics efforts, and achieving business objectives Create various reports based on cloud billing, forecasts, optimization opportunity analysis Prepare forecasting based on past cloud spend using various statistical/regression models Build scalable solution to support the dynamic cloud environment financials Visualize the data using tools like PowerBI and Tableau Partner with various stakeholders (e.g. cloudops, application teams, architects, product owners, data analysts) to better understand requirements, find bottlenecks, and recommend resolutions Automate data analysis using scripts and data pipelines (python, spark, jupyter, alteryx) to clean, transform, and aggregate data from disparate sources Work on anomaly management and unit economics reporting Identify optimization opportunities. Roles & responsibilities Required 2 - 4 or more years of experience with Cloud (IaaS, PaaS) Manage and Analyze cloud billing, cloud resources sizing and utilization data Analyze tagging compliance and suggest improvements to increase visibility for cloud expenditures Work with Data Engineer, interpret data sets, find data trends and patterns valuable for diagnostics, predictive analytics efforts, and achieving business objectives Create various reports based on cloud billing, forecasts, optimization opportunity analysis Prepare forecasting based on past cloud spend using various statistical/regression models Build scalable solution to support the dynamic cloud environment financials Visualize the data using tools like PowerBI and Tableau Partner with various stakeholders (e.g. cloudops, application teams, architects, product owners, data analysts) to better understand requirements, find bottlenecks, and recommend resolutions Automate data analysis using scripts and data pipelines (python, spark, jupyter, alteryx) to clean, transform, and aggregate data from disparate sources Work on anomaly management and unit economics reporting Identify optimization opportunities. This role is for you if you have the below Educational qualifications Education: B.E/B.Tech/ MCA/ MTech in Computer Science or related technical discipline is required. Work experience 2+ Years of FinOps Experience Experience Level Mid Level