Senior Analytics Engineer, People Analytics

About the role

As a Senior Analytics Engineer in the People Analytics team, you will be much more than a data expert — you will actively shape how Bolt understands, plans, and develops its workforce at scale. You will own the People Analytics layer of Bolt's centrally managed data platform, building and maintaining the data infrastructure that powers people insights across the company: from headcount planning and hiring to attrition, absence, and compensation analytics.

A central part of this role is building the data infrastructure that makes conversational analytics possible. We are actively developing a people data plugin for AI tools, enabling analysts and business stakeholders to query people data in natural language. For that to work, the underlying data needs to be exceptionally clean, well-documented, semantically consistent, and structured with AI consumption in mind. You will own that foundation.

You will support People Analytics by building robust pipelines and a trusted semantic layer across the full employee lifecycle. You will own everything between the data producers and data consumers — connecting HRIS with core employee data, ATS with recruitment data, planning and other systems through a modern analytics stack.

Main tasks and responsibilities

• Work closely with people analysts, people business partners, finance, and adjacent stakeholders to prioritise and align the analytics engineering roadmap, ensuring solutions meet both reporting and AI-readiness requirements.
• Build, expand, and maintain reusable data models and metrics in source of truth semantic layer (currently in dbt) dbt, covering the full employee lifecycle — headcount, hiring funnel, attrition, absence, and compensation — modelled with the consistency and documentation that LLM-based tools require to reason over data reliably. Implement data quality monitoring and alerting so issues are caught before they surface in dashboards or AI tools.
• Set up and manage the architecture, documentation, and key data transformations for people data source systems within our Databricks and S3-based data lake; identify and resolve gaps where data is missing, unreliable, or structurally unusable.
• Own and evolve the BI tool (currently Looker) semantic layer (ML models, explores, derived tables) as the single source of truth for people metrics — and as a key component of our conversational analytics setup.
• Co-build and extend our people data plugin for AI tools such as Claude and Cursor; work with the analytics engineering function and data platform team to establish standards and best practices for AI-ready data — including naming conventions, metric glossaries, lineage documentation, and data catalogue maintenance.
• Follow system design and architectural best practices and closely collaborate with Data Engineering, People Tech, and Internal Products to ensure data integrity and efficiency across all processes.

• Demonstrated experience with data modelling and developing analytics architectures for large volumes of data, especially for consumption by both BI tools and AI systems, with tangible impact to show for it.
• Proficiency in SQL, Python, data modelling tools such as dbt, and comfort working within cloud data lakehouse environments (Databricks, S3).
• Deep hands-on experience with Looker and LookML or similar BI tool — ability to build and own a full semantic layer, not just consume dashboards.
• Strong practical understanding of what conversational analytics and AI-assisted querying require from the data layer: consistent naming conventions, rich metadata, well-scoped semantic models, and LLM-ready documentation.
• Excellent cross-functional collaboration skills and strong verbal and written English communication, especially when bridging technical infrastructure and non-technical stakeholders.

Nice to have

• Hands-on experience integrating data infrastructure with AI tools (such as Anthropic Claude, Cursor, or similar), whether through plugin development, tool definitions, or structuring data specifically for LLM consumption, is a strong plus.

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.