Data Analyst, Financial Efficiency Data Analytics

Meta Analytics Operations protects people and businesses and preserves voice and economic opportunity for the people and businesses that use Meta’s platforms.

As a horizontal analytics team, the Financial Efficiency Data Analytics team enables Global Operations to make data-informed decisions by serving as analytics thought-partners to solve operational business problems.

We employ a diverse toolkit of rigorous analytical approaches to guide teams using data and insight.In this role, you won’t simply present data, but tell data-driven stories.

You will influence operations and product decisions using clear insights and recommendations, develop data-driven investment strategies to optimize operational outcomes, and collaborate with a diverse set of cross-functional partners to identify, quantify, and solve GO'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, Financial Efficiency Data Analytics Responsibilities:

Apply quantitative skills and incorporate qualitative insights to inform and influence strategy for Global Operations

Partner with Operations, Data Science, Data Engineering, Product, and Engineering teams to identify and execute against opportunities that increase operational efficiency and effectiveness

Develop scalable analytics solutions that provide the essential insights around budget spent, ROI measurement, and efficiency needed to support data-driven decision making

Drive forecasting, scenario planning, and predictive analytics to optimize the community and business impact of our operational expenditures

Translate business objectives into actionable analyses, clearly communicating technical concepts and operational implications to varied audiences

Identify metric trends and insights for business reviews to provide leadership visibility into operational expenditure and performance against desired outcomes

Qualification and experience:

Minimum Qualifications:

5+ years of work experience in an analytics 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 using analytics to break down ambiguous, complex problems using data and influence solutions

Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred:

Preferred Qualifications:

Experience working in an online operations or trust & safety organization

Experience developing data pipelines via SQL and Python-based ETL frameworks

Familiarity with internet policy and regulatory environments

Advanced degree with a quantitative focus (Computer Science, Statistics, Finance, Information Systems, Applied Economics or similar technical field) or equivalent practical experience