Data Analyst, Product & Regulatory Ops

$124,000 - $176,000/Yr

Meta - Menlo Park, CA

Full-time - Mid Level

Menlo Park, CA

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About the position

Product & Regulatory Operations (PRO) plays a critical role in product development and legal compliance at Meta. They provide data and insights to build and improve products, like Facebook, Instagram, and Reality Labs. As a horizontal analytics team, Product & Regulatory Operations Analytics enables teams across PRO to make data-informed decisions by serving as analytics thought-partners to solve operational business problems. We build foundational data products and employ a diverse toolkit of analytical approaches to guide decision making. In this role, you won't simply present data, but tell data-driven stories and share actionable insights. You will influence operations and systems using clear insights and recommendations, develop data-driven investment strategies to optimize product outcomes, and collaborate with a diverse set of cross-functional partners to identify, quantify, and solve PRO's biggest challenges. This work utilizes one of the largest data sets in the world and drives high-stakes outcomes that impact billions of people on and off the platform. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

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 influence 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
• 5+ 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 senior 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
• Experience working in an operations organization
• Advanced degree with a quantitative focus (Computer Science, Statistics, Finance, Information Systems, Applied Economics or similar technical field) or equivalent practical experience

Benefits

• $124,000/year to $176,000/year + bonus + equity + benefits
• Individual compensation is determined by skills, qualifications, experience, and location.