Data Analyst, Product & Regulatory Ops - Meta
New York, NY
About the Job
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 advise 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
Data Analyst, Product & Regulatory Ops Responsibilities:
MINIMUM QUALIFICATIONS
Minimum Qualifications:
PREFERRED QUALIFICATIONS
Preferred Qualifications:
RESPONSIBILITIES
Data Analyst, Product & Regulatory Ops 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
MINIMUM QUALIFICATIONS
Minimum Qualifications:
- 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)
PREFERRED QUALIFICATIONS
Preferred Qualifications:
- 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
Source : Meta