Analytics Partner

Responsibilities

• Data Management:
  Maintain absolute data integrity across our People systems, proactively identifying anomalies and optimising our data structure.
• Tooling & Systems:
  Manage, administer, and own our suite of people tools, constantly looking for opportunities to take our systems to the next level.
• Compensation cycles:
  Step into existing cyclical processes to run and execute core tasks including modelling, bonus calculations, and managing the equity/grants list.
• Insights & Reporting:
  Deliver clear, actionable reporting on people data and provide key compensation insights to support hiring and promotion cycles.
• Operational Execution:
  Own the end-to-end administration of core workflows, from executing recognition programs to generating and sending official reward letters.
• Process Optimisation:
  Continuously look for ways to apply AI tools to streamline manual workflows and elevate how the People team operates.

As our Reward and People Analytics Partner, you will sit at the intersection of data, tools, and people strategy, helping us scale our People operations with precision. This role is designed for a data-minded analyst who is highly motivated to master People systems and analytics. You don't need to be a seasoned compensation expert from day one—we are looking for a sharp, curious mind we can mould.

If you have a foundational technical toolkit, a passion for driving tooling efficiency, and an eagerness to apply next-generation AI to optimise everyday workflows, this role offers an incredible runway for professional growth.

Technical Toolkit: Highly proficient in Google Sheets/Excel, with functional, hands-on knowledge or exposure to other tools or languages for managing and understanding data (and a strong desire to rapidly scale these skills).

Data driven: Demonstrable professional experience managing and manipulating datasets. You must have a proven track record of handling data cleanup, structure, and reporting.

Analytical Mindset: Exceptional attention to detail with a natural affinity for data analytics, problem-solving, and spotting trends.

Systems: Proven experience administering and managing data tools or business systems, with a clear mindset for how to take systems and workflows to the next level.

Automation: Experience or strong interest in leveraging generative AI tools to automate and optimise repetitive administrative workflows.

Eagerness to Learn: Proactive, highly adaptable, deeply curious, and enthusiastic about mastering new tools and technologies.

Operational Execution: Ability to step into established processes, run them reliably, and meticulously manage data-heavy work streams.

• Specific experience in a People team or compensation and rewards function
• Basic exposure to compensation cycles, equity administration, or reward metrics.