Product Analytics Data Analyst
Job Responsibilities:
- Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
- Independently analyze data, conduct research, and synthesize feedback into plans, processes, and playbooks
- Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding
- Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g. Through identification of data &; tooling requirements enabling self-service / scalable solutions
- Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
- Define metrics/KPIs for end-to-end product operations and building repeatable and reproducible analysis
Skills:
- End to end Dashboarding/ETL Pipeline developments within the product operations space
- Proficiency with intermediate to advanced SQL concepts for data extraction. Experience creating dashboards with Tableau, PowerBI, Alteryx and other data visualization tools.
- Experience with communicating and presenting findings to non-technical stakeholders.
- Big Tech experience
- Experience measuring the performance of AI models
Education/Experience:
- Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.
- 4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
- Proficiency with intermediate to advanced SQL concepts for data extraction.
- Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
- Experience creating dashboards with Tableau, PowerBI, Alteryx and other data visualization tools.
- Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
- Experience with communicating and presenting findings to non-technical stakeholders.
- Advanced technical degree or graduate degree in statistics, marketing, or related fields.
- Experience measuring the performance of AI models
- Experience with ETL pipeline development.
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