Job Description

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, Power BI, 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, Power BI, 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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