Partner with cross-functional teams to understand the system end-to-end, analyze key metrics, and answer questions about performance and user experience.
Mine and synthesize data from multiple sources, applying statistical methods and machine learning techniques to surface trends, anomalies, and actionable insights.
Build and maintain data pipelines to support reliable, repeatable analysis.
Produce clear, captivating visualizations, dashboards, and reports, tailored to both technical and non-technical audiences.
Translate complex findings into simple, compelling narratives that motivate action and drive improvements.
Investigate anomalies and performances issues to identify root causes and recommend solutions.

Minimum Qualifications

3+ years experience with data analysis and reporting.
Experience synthesizing complex data sources into clear and insightful presentations with an emphasis on the story.
Demonstrated experience building analytic tools and analyzing operational data and distilling results into actionable recommendations.
Excellent problem-solving skills and independent thinker.
Creativity and willingness to explore new solutions and ideas.
Excellent data visualization skills.
Demonstrated proficiency with scripting languages such as python, R, or MATLAB.
Experience with databases and query languages such as SQL.
Comfortable working across multiple languages and tools.
Excellent written and verbal communication skills and solid teamwork and leadership skills.

Preferred Qualifications

Solid understanding of statistical concepts and machine learning algorithms.
Familiarity with using AI to improve efficiency.
Experience with BI/visualization tools.
BS or MS in quantitative field such as data science, statistics, applied mathematics, operations research, engineering, or related discipline.