• Data Development Analyst

    Meta (New York, NY)


    Summary:

    Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

    Required Skills:

    Data Development Analyst Responsibilities:

    1. Partner with Operations, Data Science, Data Engineering, Product and Engineering teams to solve problems and develop scalable and sustainable data solutions.

    2. Consult on processes to drive standardization across teams to drive operational efficiency and data integrity.

    3. Deeply understand the architecture and integration points of Meta's processes, internal tooling, and data architecture.

    4. Build/maintain business layer data infrastructure (data pipelines, aggregated data sets, reports, dashboards) to monitor the performance of our operations and drive business understanding.

    5. Influence and test product and product level data infrastructure that supports GRO business operation decision making and risk management.

    6. Analyze data, conduct research, and synthesize feedback into technical solutions, projects, processes and playbooks.

    Minimum Qualifications:

    Minimum Qualifications:

    7. Requires a Master’s degree (or foreign degree equivalent) in Computer Science, Information Systems, Analytics, or a related field and 5 years of experience in the job offered or in a computer-related occupation.

    8. Requires 5 years of experience involving the following:

    9. 1. Querying and manipulating complex raw datasets (ETL) for analysis using SQL

    10. 2. Data visualization tools (e.g., Tableau, Looker)

    11. 3. Reporting systems, data pipeline architecture and data modeling and data governance

    12. 4. Explaining technical concepts and analysis implications clearly to varied audiences

    13. 5. Translating business objectives into actionable analyses and designing business processes

    14. 6. Cross-functional working partnerships with business, engineering, and product teams

    15. 7. Advocating for new technology and analytics solutions to influence cross-functional roadmaps

    16. 8. Working with petabytes of operations data

    17. 9. Data warehouse architecture

    18. 10. Design and develop centralized data repository model with deep understanding of product and user interactions across multiple systems, and evaluating design and operational cost-benefit tradeoffs within systems

    19. 11. Governance guardrails having privacy and security implications for data management and maturity

    20. 12. Data foundation to enable longitudinal insights having long-term impact and capability to explore graph data infrastructure and event logging to produce insightful analysis

    21. 13. Optimization techniques for effective capacity planning. Query tags and text-based annotations dataset having complex datatypes and

    22. 14. Influence product and cross-functional teams to identify data opportunities to drive impact.

    Public Compensation:

    $203,952/year to $211,111/year + bonus + equity + benefits

    **Industry:** Internet

    Equal Opportunity:

    Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

     

    Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].