Lead Analytics Engineer Jobs

Prolific

Location:
United Kingdom

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

As a Analytics Engineer in the Data Infrastructure Team at Prolific, you'll be at the forefront of transforming and maintaining Prolific's data infrastructure. Your work will be instrumental in redesigning and scaling our data stack, ensuring data pipelines are robust, efficient, and reliable. By owning and optimizing our analytics codebase, you'll empower our BI-focused teams to deliver valuable insights to the entire organization, while driving data accuracy and accessibility. You'll also bridge the gap between technical and non-technical stakeholders, making sure that complex data solutions are clearly understood and aligned with business goals.

Job Responsibility:

Building Data Models: Create complex dbt models, custom macros, and reusable packages. Optimise transformations and implement robust testing strategies to ensure data integrity and model performance
Ownership: Monitoring and maintaining dbt workflow jobs, ensuring smooth data refreshes and up-to-date pipelines.You will also be responsible for data models for BI analytics & company level reporting
Ensuring Data Accuracy: Writing tests and assertions to validate data integrity and consistency across models
Documenting and Standardizing: Creating and maintaining thorough documentation of dbt processes to ensure best practices within the BI team
Translating Complex Data Concepts: Acting as a key communicator, translating technical data issues into understandable business terms for stakeholders
Mentoring Team Members: Supporting junior analysts and data engineers, especially in setting up experimentation platforms and data best practices
Collaborating Across Teams: Working closely with the product, engineering, and BI teams to ensure data infrastructure supports evolving business needs

Requirements:

Expertise in dbt & SQL: Deep experience with dbt and SQL to design, build, and maintain scalable data models
Cloud Technology Knowledge: Strong familiarity with cloud platforms like AWS, GCP etc
Data Accuracy Focus: Passion for ensuring high data quality through tests/assertions and robust documentation
Commercial Acumen: Ability to understand business needs and communicate effectively with non-technical stakeholders
Mentorship Ability: Advocate for best practices in logging and data modeling that supports robust and effective analysis, reporting , and experimentation
Collaboration: Skilled at working cross-functionally and translating complex technical concepts into actionable insights for the business
Process-Driven: Proficiency in designing repeatable and scalable workflows for data transformation

Additional Information:

Job Posted:
December 11, 2025

Work Type:

Remote work

View All Jobs In This Company

Job Link Share:

Lead Analytics Engineer