Data Analyst, Product & Regulatory Ops

$104,000 - $146,000/Yr

Meta - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

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About the position

The Data Analyst in Product & Regulatory Operations at Meta plays a vital role in product development and legal compliance by providing data-driven insights to enhance products like Facebook and Instagram. This position involves collaborating with cross-functional teams to solve operational challenges, develop scalable analytics solutions, and communicate actionable insights to stakeholders. The analyst will leverage one of the largest data sets globally to inform decision-making and optimize product outcomes.

Responsibilities

• Identify metric trends and insights for business reviews to provide leadership visibility into operational health and performance against desired outcomes.
• Translate business objectives into actionable analyses, clearly communicating technical concepts and operational implications to varied audiences.
• Develop scalable analytics solutions that provide the essential insights needed to support agile decision making.
• Apply quantitative skills and incorporate qualitative insights to inform and advise strategy for Product Delivery Operations.
• Partner with Operations, Data Science, Data Engineering, Systems, and Engineering teams to identify and execute against opportunities that increase operational efficiency and effectiveness.
• Drive forecasting, scenario planning, and predictive analytics to optimize our operational expenditures.

Requirements

• B.A./B.S. degree with a quantitative focus in Economics, Computer Science, Information Systems, Math, Statistics, or a similar technical field.
• 3+ years of work experience in an analytics or consulting role involving strategy, problem solving, and/or technical systems.
• Experience working in a fast-paced, rapidly-changing environment, while managing multiple priorities and stakeholders.
• Experience communicating effectively to technical and non-technical audiences.
• Experience in communication with management.
• Experience using analytics to break down ambiguous, complex problems using data.
• Experience with data querying languages (e.g. SQL) and experience with scripting languages (e.g. Python).

Nice-to-haves

• Experience developing data pipelines via SQL and Python-based ETL frameworks.
• Advanced degree with a quantitative focus (Computer Science, Statistics, Finance, Information Systems, Applied Economics or similar technical field) or equivalent practical experience.
• Experience working in an operations organization.

Benefits

• Bonus
• Equity
• Health insurance
• 401k
• Paid holidays
• Flexible scheduling