Total Rewards & Analytics Analyst
AstranisSan FranciscoPosted 10 April 2026
Job Description
Astranis builds advanced satellites for high orbits, expanding humanity’s reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe— large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization. Astranis has raised over $750 million from some of the world’s best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA.
Total Rewards Analytics Analyst
We are looking for a sharp, data-driven Total Rewards Analytics Analyst to join our People team. This is a high-impact, dual-scope role that sits at the intersection of Total Rewards design and administration and people analytics — giving you the opportunity to shape how Astranis attracts, retains, and rewards its world-class talent while providing People Analytics to inform key design decisions.
Reporting to the Director of Total Rewards, you will be a critical partner in building and maintaining competitive compensation programs, equity administration, benefits analysis, and delivering data-driven insights that inform our people strategy. This is a unique opportunity to build something meaningful at a company that is literally changing how the world connects.
Role
Total Rewards -
Support the design, implementation, and administration of Total Reward programs including base pay, variable pay, equity, benefits and wellness
Conduct market pricing and benchmarking using survey data (Radford, Pave, Carta, etc.) to ensure competitive positioning
Assist in maintaining and updating salary structures, job architecture, and pay bands across the organization
Partner with Recruiting and HRBPs to support offer development and compensation recommendations
Assist in the administration and communication of equity programs including stock option grants, refresh cycles, and vesting schedules
Support annual compensation cycles including merit increases, bonus payouts, and equity refresh programs
Help develop and maintain Total Rewards communications that educate employees on the full value of their compensation package
Assist in benefits program analysis including benchmarking, utilization reporting, and vendor management and configuration support
People Analytics -
Leverage our suite of analytics to extract insights and tell stories with our data. Partnering with our SVP of People you will create the views and slides that our executives will use to better understand the workforce.
Conduct ad hoc data analysis to support People team decisions and business partner requests
Develop and maintain equity budget tracking including forecast vs. actual share utilization by grant type
Analyze compensation equity and pay parity across the organization and surface insights to leadership
Partner with Finance on headcount planning and workforce cost modeling
Support the design and analysis of employee surveys and engagement data
Present data insights in clear, compelling formats for PeopleTeam leadership
Requirements
3-5 years of experience in Total Rewards, Compensation, or People Analytics
Strong analytical and quantitative skills — you are comfortable working with large datasets and drawing meaningful conclusions
Advanced proficiency in Microsoft Excel or Google Sheets including complex formulas, nested if statements, and pivot tables
Experience with compensation benchmarking tools such as Radford, Mercer, Carta, or similar
Working knowledge of equity compensation including stock options, RSUs, vesting schedule ... (truncated, view full listing at source)
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