Staff People Analytics Partner

Vast is looking for a Staff People Analytics Partner, reporting to the Director, Talent Development, to support the development of the systems and teams that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach, CA location.

As the founding member of People Analytics, you'll build the function from a blank page: the data foundation, the first dashboards, the metrics everyone trusts, and the analyses that shape how Vast hires, develops, and retains its people. You'll start as a hands-on individual contributor, with a clear path to building and leading the team as it grows.

Your First Year

Timeframe

What You Will Deliver

First 90 days

Audit People data across Rippling, Pave, Greenhouse, Lattice, and Cornerstone. Partner with Information Systems to design a unified People data model.

By 6 months

Attrition modeling that identifies what drives turnover and who may be at risk, with retention recommendations leaders can act on.

By 12 months

Longitudinal performance vs. potential analysis for talent reviews and succession planning, core self-service Tableau dashboards, and a shared People metrics library.

Ongoing

Internal consulting on high-impact questions from Recruiting, Compensation, People Operations, Employee Relations, and Talent Development.

What You Will Do:

Build the foundation

• Lead a full audit of People data quality, completeness, consistency, and governance
• Partner with Information Systems on a unified People data model that becomes the single source of truth
• Define standard People metrics and KPIs, with clear definitions, calculation logic, and documentation

Deliver insight leaders act on

• Build attrition and flight-risk models and turn the findings into practical retention strategies
• Analyze what drives hiring outcomes, retention, performance, and engagement
• Evaluate People programs and policies with rigorous methods, including causal inference where it fits
• Support pay equity reviews, market benchmarking, and merit and promotion modeling
• Build workforce planning and headcount forecasting models

Make data self-service

• Design and maintain Quarterly Business Review (QBR) dashboard for executives (ex: Tableau dashboards for headcount, hiring funnel, attrition, compensation, performance, learning, and engagement.)
• Enable key stakeholders to access data for common reporting needs (talent review data, performance data, succession planning summaries by department)

Partner and influence

• Help People leaders find their highest-value questions and scope them into clear projects
• Present findings clearly and persuasively to executives and non-technical audiences
• Champion the privacy, security, and ethical use of employee data, including strict confidentiality when working with Employee Relations

Build the function

• Own the People Analytics strategy and roadmap
• Create the processes and standards the team will scale on, and help shape its future structure and hiring

Minimum Qualifications:

• Bachelors in Statistics, I/O Psychology, Economics, Data Science, or a related field
• 8+ years in People, Workforce, or HR Analytics, or a closely related quantitative role
• Advanced SQL, including data modeling and data quality auditing
• Hands-on experience in a data warehouse (Snowflake, BigQuery, Redshift, or Databricks)
• Advanced Tableau, including dashboards built for leadership audiences
• Strong applied statistics, including regression and inferential methods
• Experience building attrition or retention models
• Experience handling confidential employee data
• A track record of influencing senior stakeholders with clear recommendations

Preferred Skills & Experience:

• Masters or PhD in Statistics, I/O Psychology, Economics, Data Science, or a related field
• R or Python
• Survival analysis, multilevel or longitudinal models, or Bayesian hierarchical modeling
• Causal inference (difference-in-differences, propensity score matching, regression discontinuity)
• Pay equity and compensation modeling
• Modern ELT tools (Fivetran, Airbyte, dlt, dbt)
• Using AI and agentic tools (such as Claude Desktop or Claude Code) to speed up analytics work
• Survey design and psychometrics (reliability and validity)
• Familiarity with EEO-1, CCPA, and employment data compliance
• Experience in aerospace, defense, or other technical environments
• Experience as the first analytics hire or building a function from scratch

Additional Requirements:

• Fully onsite at our Long Beach, CA location.
• To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR), applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State

Pay Range: California

$137,546-$195,249 USD

We calibrate level and compensation to the selected candidate's experience and demonstrated capability. We welcome applicants across a range of experience levels to apply.

COMPENSATION AND BENEFITS
Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand. Salary is just one component of our comprehensive compensation package. Full-time employees also receive company equity, as well as access to a full suite of compelling benefits and perks, including: medical, dental, and vision coverage for employees and dependents, generous paid time off; up to 20+ days of vacation for exempt staff and up to 10+ days of vacation for non-exempt staff with the ability to cash-out unused vacation annually, paid parental leave, short and long-term disability insurance, life insurance, access to a 401(k) retirement plan, ClassPass credits, personalized mental healthcare through Spring Health, and other discounts and perks. We also take pride in offering exceptional food perks, with snacks, drip coffee & onsite barista, cold drinks, and dinner meals remaining free of charge, and lunch subsidized as part of Vast's ongoing commitment to providing high-quality meals for employees.