Meta Technology/Software

Analytics Business Partner

Washington, DC +2 In person Full-time

Analytics Business Partners drive the business through the lens of People data by empowering HR and business leaders to integrate data into workforce and people decisions. In this role, you will partner with leaders across HR and the business to enact and influence people strategy. This role will serve as an active partner with HR leaders to perform research and analyses on a broad spectrum of people issues. This role will interface with People Analytics teams across organizations and drive delivery of strategic priorities, with a mindset for optimization and scale.

The ideal candidate will have experience leading cross-functional initiatives, consulting with stakeholders to translate data into actionable recommendations, and presenting analytical findings to technical and non-technical audiences, and will manage concurrent projects while working with a cross-functional team to drive outcomes. We are looking for someone who can develop scalable solutions and identify effective approaches to achieve results, and working closely with a diverse set of teams. We need someone who can define structure in ambiguous problem spaces and develop innovative approaches to solve challenges and incorporates diverse perspectives into the solution.

Responsibilities

  • Apply expertise in data analytics to identify business-relevant insights and develop executive-level presentations to influence people's strategy
  • Act as an internal consultant and partner to HR and business leaders, and engage with the broader analytics community to deliver insights, research, and scalable solutions
  • Focus on impact and propose metrics to understand the success of people's initiatives
  • Manage multiple concurrent projects that require inputs from cross-functional stakeholders while balancing the impact on business needs
  • Deliver analytical findings to leadership audiences
  • Leverage data analysis tools, such as Python, R, SQL, Tableau, and Google Sheets to develop models, understand trends, and extract insights
  • Demonstrate exceptional judgment and discretion when dealing with highly sensitive personal data
  • Leverage AI tools to build scalable analytics solutions and automate workflows for Meta leaders, HRBPs, and data analysts
  • Ensure data privacy, governance, and security best practices when deploying AI technologies on sensitive personal data

Minimum qualifications

  • BA/BS in a relevant field with 5+ years (or MBA/MA/MS in a relevant field with 4+ years or PhD in a relevant field and 3+ years) of consulting or corporate work experience focused on using data to uncover insights that drive action and communicating analyses to technical and non-technical audiences
  • Experience in fields such as analytics, management consulting, sales operations, finance, compensation, or related areas
  • Knowledge of statistical analysis (e.g., descriptive statistics and knowledge of statistical significance), quantitative research, and experience in gathering and interpreting data
  • Project management experience with multiple stakeholders, prioritizing and delegating projects and tasks
  • Experience engaging directly with enterprise-level clients and stakeholders is
  • Experience working across various levels of an organization, while building trust and fostering collaboration
  • Knowledge of data visualization tools, complex formulas, pivots, macros, etc
  • Experience in communicating technical results to technical and non-technical audiences

Preferred qualifications

  • Experience in HR project management, working on projects that impact the employee lifecycle
  • Experience in data visualization and AI-based dashboarding
  • Experience working autonomously and prioritizing competing work based on impact, deadlines, and stakeholder needs
  • Experience in SQL, R, and/or Python
  • Experience working with HR/organizational people data (e.g., headcount, turnover, recruiting metrics, and other people analytics)

Job description provided by Meta.
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