Data Center Operations Analytics Engineer

Published date Posted on Indeed on Aug 02, 2022 (17 d ago)
In this role, your primary responsibility will be to partner with key stakeholders and lead the development of an analytics program to support and enable the continued growth critical to Meta’s Data Center organization. As we plan to grow our Data Center organization, we need to leverage data to drive decisions and introduce automation, predictability & optimization to allow us to operate efficiently and reliably at scale. You will be responsible for creating end-to-end analytics programs, from data sourcing to surfacing insights and driving action, for various aspects of Meta’s global data center operations. You will also help translate data and identify efficiency opportunities. You will be expected to use data to provide meaningful recommendations and actionable strategies to key stakeholders, and develop best practices, including streamlining of data sources and related programmatic initiatives. The ideal candidate will have a passion for working in white space and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics and metrics-based programs.

Data Center Operations Analytics Engineer Responsibilities:

  • Acts as key data expert on operation of servers in a hyper-scale data center environment
  • Formulate the right metrics and definitions of success to drive quality, efficiency, cost, and timeliness understanding the source data
  • Align and support the global team behind these metrics, and be a key driver ensuring rapid, coordinated, and effective responses to issues as they arise
  • Work with partners to use data mining and statistical techniques to validate or identify operational inefficiencies, exceptions, and fault/event correlation
  • Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights to enhance operational performance of Facebook’s infrastructure
  • Provide data supplied narratives, determining what is important and what next steps should be taken
  • Build data pipelines, tables and dashboards, and leverage these for interpreting incidents and trends
  • Leverage knowledge and expertise in Operational processes to partner with data engineers and software engineers to ensure high quality and reliable data is available for analysis
  • Lead and support various ad hoc projects, as needed, in support of Facebook’s Data Center strategy
  • Become an expert in Meta’s site operations infrastructure, tools, systems, and data
  • Leverage tools like R, Tableau, Python, and SQL to drive efficient analytics
  • Ability to travel up to 20% required

Minimum Qualifications:

  • 3+ years of SQL development experience writing queries
  • Knowledge of statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)
  • Bachelors degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Science or commensurate experience)
  • Proven self-starter, interest for developing the best possible solutions to problems
  • Knowledge of leveraging data driven models to drive business decisions
  • Experience using data access tools and building visualizations using large datasets and multiple data sources
  • Experience communicating operational data insights to all organizational levels
  • 3+ years of experience in a role with data analysis and metrics development
  • Experience with data visualization tools

Preferred Qualifications:

  • Experience working in a large-scale data center environment
  • Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
  • Leadership and/or team management experience
  • Experience with multiple coding languages (R, Hack, Python)

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

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