Workforce Analyst, Mission Control Analytics at Meta
Austin, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

13 Oct, 25

Salary

176000.0

Posted On

14 Jul, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Workforce Planning, Mediums, Presentation Skills, Tableau, Spreadsheets, Executive Leadership, Relational Databases, Statistics

Industry

Information Technology/IT

Description

ANALYTICS

At Meta, Mission Control plays a critical role in driving business success by efficiently integrating financial plans, business priorities, and workforce strategies into operational plans. As trusted partners, Mission Control is committed to seamlessly executing Meta’s workforce plans in alignment with the strategies defined by our stakeholders, policy-makers, and executive leadership. The Analytics team collaborates with a variety of Cross Functional Partners to develop a data driven strategy to supplement and report on the operational plans.We’re looking for a Workforce Analyst to join our Mission Control team. Mission Control Analysts are responsible for developing and maintaining all of the analytical resources and data tools necessary to enable workforce management of our business. The ideal candidate will have a proven technical and analytical background.

MINIMUM QUALIFICATIONS

  • 7+ years of experience working in Workforce Planning, Recruiting Analytics or similar function
  • BS/BA or above in a technical field
  • 3+ years of experience with spreadsheets, Tableau and/or other reporting/data manipulation tools
  • Experience with SQL or similar programming language
  • Experience with data management, specifically with validating and auditing data and reports from multiple systems
  • Communication and presentation skills with experience presenting to executive leadership
  • Experience working through ambiguity and developing innovative solutions
  • Attention to detail and commitment to data accuracy, especially in times of rapid turn-around needs

PREFERRED QUALIFICATIONS

  • 3+ years experience with SQL (or similar language aimed at querying relational databases)
  • Experience with project management
  • Experience working in a fast-paced and demanding environment
  • Experience with data and building things – making cohesive reports and structuring data
  • Experience merging data sets from disparate sources and report findings in a variety of formats and mediums
  • Understanding of statistics and experience with investigating correlations
  • Experience applying advanced modeling to automate workflows, improve business processes, and investigate hypotheses
    For those who live in or expect to work from California if hired for this position.
Responsibilities
  • Leverage design skills to build and maintain complete suite of user-oriented dashboards and reports that include meaningful, actionable data visualizations to meet workforce needs of the business
  • Partner with program managers to define customer personas and their data and scope insight and reporting requirements
  • Build relationships and influence constituents from support functions across the company and within the team to act on findings
  • Work with data infrastructure, tooling, and process teams to troubleshoot data-quality issues and drive long term system improvement
  • Approach and execute ad-hoc data requests creatively, identifying root cause needs and determine when discrete needs should be regular reports or dashboards
  • Implement data migrations across dashboards and reports, ensuring continuity of service and data alignment across resources
  • Deploy Better Analytics Engineering principles to maintain team and partner alignment
  • Perform comprehensive analyses to answer questions and deliver insights on the root causes of issues and make recommendations on how to best monitor and solve them
  • Present all data and findings in succinct and creative ways using data visualizations for a broad audience with different technical and non-technical backgrounds
  • Combine qualitative findings and other inputs along with data analytics to make comprehensive recommendations
  • Collaborate effectively with other team members
  • Demonstrate judgment and discretion when dealing with highly sensitive people data
  • Demonstrate initiative and proven attention to detail
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