Senior Analytics Engineer – Private Equity

£600–£650 per day | Outside IR35 | Initial six-month contract
Predominantly remote | Occasional London attendance

We are supporting a top-10 global private equity fund with the continued development of its internal data and analytics capability.

The fund is looking for an experienced Analytics Engineer who can take genuine end-to-end ownership, from understanding source data and resolving quality issues through to building robust data models and delivering polished reporting products for senior investment stakeholders.

This is an in-fund position offering significant autonomy and exposure across the business. It would suit someone who combines strong analytics engineering fundamentals with excellent dashboard development and stakeholder-management skills.

Key responsibilities

• Work directly with investment and business stakeholders to understand reporting and analytical requirements.
• Investigate underlying data and resolve quality, consistency and reconciliation issues.
• Build and maintain reliable production data models using dbt and Snowflake.
• Design dimensional models, including clearly defined facts, dimensions, grain, relationships and business metrics.
• Develop governed semantic and reporting layers that support consistent decision-making.
• Build accurate, intuitive and visually polished dashboards and reporting products.
• Take ownership of delivery from initial requirement gathering through to the finished product.
• Use AI-assisted engineering tools such as Claude Code, Codex or GitHub Copilot to improve delivery speed and quality.
• Clearly document models, definitions, testing and data lineage.