Analytics Engineer at proSapient, England, 6 Months, £Contract Rate

About Us:

Every day, somewhere in the world, important decisions are made. Whether it is a private equity company deciding to invest millions into a business or a large corporation implementing a new strategic direction, these decisions impact employees, customers, and other stakeholders.

Consulting and private equity firms come to proSapient when they need to discover knowledge to help them make great decisions and succeed in their goals. It is our mission to support them in their discovery of knowledge.

We help our clients find industry experts who can provide their knowledge via interview or survey: we curate this knowledge in a market-leading software platform; and we help clients surface knowledge they already have through expansive knowledge management.

The Role:

We're looking for a technically minded Analytics Engineer to join us on a 6-month contract to help shape and scale our data and analytics strategy. Sitting at the intersection of data engineering and analytics, you'll be instrumental in transforming raw datasets into clean, reliable, and insightful reporting tools.

You'll work across the full data lifecycle - from data ingestion and transformation using SQL and dbt, through to visualisation in Tableau - ensuring our data is optimised for performance and decision-making. This is a hands-on, engineering-heavy role, ideal for someone with strong foundations in data modelling and pipeline building, who enjoys making data accessible, accurate, and easy to interpret.

The key duties of this role will include:

• Build, transform, and manage data pipelines using SQL and dbt, ensuring scalable, reliable, and well-documented models.

• Collaborate with Product, Engineering, and Client Services teams to identify data needs and define metrics.

• Develop and maintain intuitive dashboards in Tableau, empowering teams with self-serve insights.

• Drive data governance and champion a single source of truth for critical business metrics.

• Ensure datasets are clean, validated, and performant, with clear lineage and documentation.

The key skills needed for this role are:

• A minimum of 2 years of hands-on experience working in a data role with a focus on analytics engineering.

• Strong proficiency in SQL, dbt and Tableau - all are essential and will be tested in the technical interview.

• A practical understanding of data modelling, warehouse best practices, and data quality principles.

• Clear communication skills and a problem-solving mindset.