[Hiring] Analytics Engineer @proSapient

Role Description

We’re looking for an Analytics Engineer to take ownership of our data platform within our small, high impact Data & Analytics team. You’ll work closely with the Head of Data & Analytics and a Commercial Data Analyst, playing a key role across the full data lifecycle - from ingestion and modelling through to self-serve analytics and stakeholder delivery.

This is a hands-on, high-ownership role. You’ll own our dbt environment and warehouse, shape how data is modelled and used across the business, and help move us towards a scalable, self-serve analytics culture. You’ll also have the opportunity to explore how AI and modern tooling can improve both internal workflows and how stakeholders interact with data.

Our data stack:

• PostgreSQL data warehouse (AWS-hosted)
• AWS DMS & Fivetran (data ingestion)
• dbt Cloud (Enterprise)
• Tableau Server

Key duties in this role will include:

• Own and scale the data platform:
• Own the day-to-day health and performance of our dbt Cloud environment and PostgreSQL warehouse
• Design, build, and maintain scalable, analytics-ready data models using best practices (testing, version control, CI/CD)
• Improve data reliability, performance, and structure as we scale
• Drive data quality and governance across the business
• Build a self-serve data culture
• Own and develop our data dictionary, making it a genuinely useful tool for the business
• Define and standardise key metrics, ensuring a clear single source of truth
• Enable non-technical teams to confidently use data through clear documentation and guidance
• Partner with the business:
• Work closely with Product, Client Services, and Finance to deliver high-quality datasets and dashboards
• Translate business questions into well-structured data models and metrics
• Replace manual, Excel-heavy reporting with scalable, automated pipelines
• Support product analytics by improving tracking, modelling, and insight generation
• Improve tooling & ways of working:
• Collaborate with Engineering to enhance data pipelines and architecture
• Continuously improve how we build, test, and deploy data models
• Explore and apply AI tools and automation to improve productivity and the analytics experience

Qualifications

• Strong SQL skills and experience working with dbt
• Experience building and maintaining analytics-ready data models in a warehouse environment
• Experience with a BI tool (Tableau or similar)
• A strong focus on data quality, testing, and reliability
• Experience owning or contributing to data infrastructure and tooling
• Clear, confident communication with both technical and non-technical audiences
• Self-motivated and accountable, you take ownership and follow through

Benefits

• Tenure Gifts - Vouchers, extra holiday and sabbaticals for each year of employment.
• Health insurance through Vitality
• Enjoy the flexibility of working remotely for up to 20 days each year, allowing you to tailor your work environment to your needs and embrace a change of scenery.
• Employee Assistance Programme - Access to a health and wellbeing service that offers personalised advice and support from specialist teams.
• Enhanced Maternity & Paternity pay.
• Annual Leave - 25 days + bank holidays which includes a week's closure over the Christmas period to fully reset.
• MyMindPal app - Online support for mental fitness that helps people to stress less and enjoy life more
• Corporate Events - From quarterly gatherings to our annual winter & Summer parties, we love to celebrate, collaborate and have fun together!