Workforce Analytics Researcher

Facebook | Austin, TX, United States

Posted Date 9/21/2019
Description 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.


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

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

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

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

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

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

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

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

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


  • 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+ years of experience with R or Python

  • 3+ years experience with SQL (or equivalent)

  • 3+ years of experience working with data visualization tools

  • Project management experience

  • Experience in Excel (conditional formulas and formatting, charting, etc.)

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

  • Experience manipulating large data sets through statistical software or other methods

  • Experience initiating and driving projects to completion with minimal guidance

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


  • 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

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

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

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

  • 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.)

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

  • Strong project management skills

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