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
• Data analysis
• Collaboration with various teams
• Communication of results
• Reporting and process improvement
• Ensuring data accuracy and integrity to drive business growth and improvement while ensuring the reliability

Skills:

• 4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
• 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 in managing multiple projects and meeting deadlines in a fast-paced environment.
• Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
• Experience with communicating and presenting findings to non-technical stakeholders.
• Experience using AI for data analysis and summarization. Experience measuring the performance of AI models
• Experience working across time zones and with diverse audiences, including within operations teams and across with key stakeholders and senior leadership (Nice to have)
• Former work / Big Tech experience

Education/Experience:

• Education: Bachelors (Must have) / Advanced degree (Preferred)

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