Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
3 years of experience in data analysis, database querying (e.g., SQL), and data visualization (dashboards/reports).
3 years of experience scripting, working with code, or system design.
Preferred qualifications:
Experience with data analysis at scale, including statistics, and machine learning model development (e.g., data preparation, model selection, evaluation, tuning).
Experience with collaborative coding and version control.
Experience with monitoring and analysis tools.
Familiarity with data center technology or supply chain.
Proficiency in scripting languages like Python for data manipulation, analysis, and automation.
Excellent communication skills, with the ability to explain technical concepts to diverse audiences.
Responsibilities
Design, build, and maintain scalable and reliable data pipelines to ingest, process, and store data from diverse sources.
Write complex SQL queries for data extraction and transformation, enabling both ad-hoc analysis and automated reporting. Conduct quantitative data analysis to support business decisions and identify opportunities for improvement.
Partner with business stakeholders to understand their data needs, translating them into actionable technical designs and solutions. This includes collaborating with engineers, program managers, and product managers.
Create and maintain dashboards and reports to provide actionable insights to stakeholders. Communicate insights and drive the implementation of data-driven recommendations.
Develop tools and systems to automate data processes, facilitate faster turnarounds, and increase overall efficiency.
