Minimum qualifications:
- 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.