• Data Analytics Lead, Global Services

    Meta (Fremont, CA)


    Summary:

    Imagine being part of a team that helps shape the future of workspaces and services at one of the world's most innovative companies. As a key player in the Global Workplace Services (GWS) organization, you'll have the opportunity to provide analytical and strategic guidance that drives business outcomes and fuels Meta's success.In this role, you'll be instrumental in helping facilities and culinary leadership make informed, data-driven decisions that impact thousands of employees worldwide. By analyzing complex data sets and identifying trends, you'll uncover insights that inform the development of world-class workplaces and services that meet the diverse needs of our global workforce.As a member of the GWS team, you'll be part of a dynamic and forward-thinking organization that is dedicated to creating environments that inspire creativity, collaboration, and productivity. With a focus on delivering high-quality services that exceed expectations, you'll play a critical role in shaping the employee experience and driving business results.Key Highlights:- Provide analytical and strategic guidance to drive business outcomes- Collaborate with facilities and culinary leadership to inform decision making- Analyze complex data sets to identify trends and opportunities- Contribute to the development of world-class workplaces and services- Be part of a dynamic and forward-thinking organization that is shaping the future of workJoin us in unlocking the power of data-driven decision making and shaping the future of work at Meta!

    Required Skills:

    Data Analytics Lead, Global Services Responsibilities:

    1. Design, develop, and maintain data models, queries, reports, and visualizations to support data-driven decision-making and optimization of our global workplaces.

    2. Lead data and analytics efforts within Global Workplace Services and cross-functional teams, collaborating with stakeholders to understand data needs and representing key insights in a meaningful way.

    3. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts and streamline our data analytics processes.

    4. Deploy better Analytics engineering principles to maintain team and partner alignment.

    5. Mentor team members by providing actionable feedback and guidance, fostering continuous learning and improvement.

    Minimum Qualifications:

    Minimum Qualifications:

    6. Bachelor's degree in a directly related field, or equivalent practical experience.

    7. 8+ years of work experience involving analytical rigor as typically seen in functions like finance, data science, strategy, business operations, or related fields (or 6+ years of analysis work experience with Masters degree)

    8. Advanced SQL skills with experience working with large datasets

    9. Experience with data querying languages (e.g., SQL), data visualization tools (e.g., Tableau), ETL, and data modeling.

    10. Demonstrated analytical skills, including both qualitative and quantitative analysis techniques (e.g., regression analysis, cluster analysis, hypothesis testing)

    11. Experience initiating and completing analytical projects with minimal guidance, and present technical content to non-technical audiences and leadership

    Preferred Qualifications:

    Preferred Qualifications:

    12. Graduate degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience in data analytics field.

    13. Proven experience in data analysis, reporting, and visualization, including merging disparate data sets, identifying correlations, and presenting findings in various formats.

    14. Proficient in at least one programming language (e.g., Python, R).

    15. Experience working in fast-paced, dynamic environments with a focus on operations and facilities management, preferably in a global organization with multiple locations.

    Public Compensation:

    $122,000/year to $177,000/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].