A1 / Analyst-GTS
Summary
The Analyst will manage and analyze cloud billing, resource utilization, and tagging compliance to optimize cloud expenditures. The role involves building data pipelines, creating financial forecasts, and visualizing trends using tools like Python, PowerBI, and Tableau.
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