Data Analyst

Role Description: 

• Capacity growth, capacity planning – drive cost efficiency and optimization. 
• Efficiency engineering – building all the tooling, across forecasting & planning, capacity management, strategic initiatives with finance. Both teams are under platform engineering org 
• 50% of the job would be to present the latest plans, recommendations to the leadership. 
• Challenges in consumption, efficiencies, creating a model and reviewing with the engineering managers. Implementing forecast adjustments, planning process that exists today. 
• Right now the Consumption attribution system exists, no need to build a new one. SME’s will provide hand off. This organization doesn’t exist today 

Top 3 skills needed: 

• Understanding experience and time series forecasting compute resourcing over time. 
• Managed service tech stack, common patterns, common challenges, solving a consumption based problem. 
• Growth modeling high level – application of growth models, understanding resource types, system models optimization over time. 
• Building data pipelines, data sets 
• Soft skills – communication, interpersonal skills, learn and challenge the managed services managers, what all tech offerings are, where the designs may not be thought of correctly. 
• BI tools – tableau – not mandatory, but nice to have. 
• SQL, Apache Spark (data is in HIVE query). 

Similar Roles in the Market: Looks for Infra Cloud planner for Cloud service providers such as GCP, and within SaaS companies such as Databricks and Snowflake ; Demand Planner role for Compute infrastructure