Technical Data Analyst, Scaled Ops Analytics


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Job Summary

$9,517 - $19,033 SGD / Monthly EST

Job Type


Years of Experience
At least 7 years

Tech Stacks

Job Description

Global Operations' focus is on improving the health of our products and helping people understand how to use them through both direct support interactions as well as scalable solutions. Those who join our teams are very passionate about solving people’s issues and are strong advocates for the Facebook community. We need influencers who can align cross-functional partners to ensure the best possible experience for our platforms. Scaled Operations (within Global Operations) manages the human expertise required for the integrity and experience of our community and business. If you like helping people, Global Operations is for you.Scaled Ops, Technology, Analytics and Reporting is focused on surfacing strategic problems, building technology and analytics solutions, and making actionable recommendations to support a large global partner workforce. We’re looking for an analyst with strong analytics and collaboration skills to join our growing, global team. You’ll have the opportunity to do exciting, impactful, and highly visible work that directly impacts Facebook Global Operations.


  • Independently plan, lead and perform analysis of data and trends to provide actionable insights
  • Proactively make recommendations for improving tools/processes and influencing/supporting Scaled Ops strategy
  • Effectively plan and collaborate with a global team on analytics projects to solve complex operational problems
  • Collaborate with Operations, Engineering and data-focused teams (DS, DE etc) to solve problems, influence solution development, and identify opportunities
  • Develop and monitor key metrics of the org, and perform root cause analysis
Minimum Qualification

  • 7+ years of experience analyzing and working with data to solve for business problems or drive business decisions
  • 4+ years of hands on experience using programming languages such as SQL, Python, or R
  • Hands-on experience with experimentation and statistical analysis
  • Basic understanding of project management fundamentals and experience leading data-centric projects across a wide cross-functional landscape
  • Experience explaining technical concepts to both technical and business partners
Preferred Qualification

  • Experience framing ambiguous problems and scoping analytics projects
  • Experience with data visualization software (Tableau, Pentaho etc.)
  • Experience creating data infrastructure (Data pipeline creation, data modeling etc)
  • Experience working within operations ecosystems

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