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Facebook Workforce Analytics Researcher in Indianapolis, Indiana


Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


At Facebook, we pride ourselves on making data-informed decisions. This includes not only decisions we make about our platform, which serves over 2 billion users, but also decisions about our workforce. Our Workforce Analytics team uses data to understand how to grow our workforce, to ensure our workforce has the right information and support, and to facilitate strategic planning for our people across the company.As a Workforce Analytics Researcher, you would play an integral role in solving some of our most pressing challenges about how to get the right information, to the right people, at the right time to succeed in our mission. We are looking for someone interested in a dedicated analytical, data engineering, and research role focused on forecasting and scenario modeling. There is a lot of white space to grow and develop the roadmap for this work in collaboration with leadership at the company. A person who would succeed in this role is someone who cares deeply about working at the intersection of improving the world of work and working on cutting-edge solutions to abstract problems.

Required Skills:

  1. Apply your expertise in forecasting, quantitative analysis, data science, scenario modelling and data visualization to help Facebook optimize its workforce strategy

  2. Model workforce scenarios with various constraints (headcount limitations, talent availability, facility capacity) to produce optimized plans for workforce growth

  3. Design, build, and maintain data products that support forecasting, reporting, and scenario modeling of workforce data

  4. Collaborate with data engineering and visualization engineers to access and manipulate data, explain data gathering requirements, and display results

  5. Work closely with partners to understand business needs & challenges and deliver value through insights

  6. Partner with various teams (Recruiting, Location Strategy, Finance, etc.) to ensure understanding, answer questions, and understand requirements

  7. Communicate statistical analyses and results, along with implications, to technical and non-technical audiences

  8. Leverage tools, such as R, Python, SQL, Tableau, Visier, Salesforce and Excel to drive analytics

  9. Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data and business issues

Minimum Qualifications:

  1. BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, social sciences, physical sciences, math, engineering, or statistics), or equivalent work experience

  2. Basic level project management skills

  3. 2+ years of experience with R or Python

  4. 3+ years experience with SQL (or equivalent)

  5. 3+ years of experience working with data visualization tools

  6. Expert level Excel skills (conditional formulas and formatting, charting, etc.)

  7. Experience processing and analyzing data sets, interpreting them for making business decisions

  8. Experience manipulating large data sets through statistical software or other methods

  9. Experience initiating and driving projects to completion with minimal guidance

  10. Experience communicating technical results to product and leadership teams to influence overall strategy

Preferred Qualifications:

  1. Advanced degree (MS, PhD, MBA) in a quantitative discipline (e.g. statistics, operations research, economics, operations management, supply chain, computer science, finance), or equivalent experience

  2. Experience with advanced statistics for optimization, simulation modeling, scenario modeling (e.g. markov, monte carlo, GLM)

  3. Experience working with HR/organizational people data (e.g. headcount, turnover, recruiting metrics, and other people analytics)

  4. Experience with packages such as NumPy, SciPy, pandas, scikit-learn, tidyverse, ggplot2, dplyr

  5. 2+ years of experience working internally (as opposed to consulting) in an organization with 500+ professional employees (e.g., high-tech, financial services, healthcare, biotech, etc.)

  6. Enjoys working in a team-oriented environment and highly motivated to provide a positive user experience

  7. Strong project management skills

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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 accommodations-ext@fb.com.