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