Lead Analytics Engineer

🕒 April 1

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Prolific

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🤝 B2B

AI • B2B • Research

Prolific is a platform that facilitates fast and high-quality data collection by connecting researchers with participants, including AI taskers. Researchers can launch tasks, surveys, and experiments and receive responses from a global community of over 200,000 active participants within hours. Prolific prides itself on providing accurate and detailed data while ensuring that participants are fairly rewarded for their contributions. The platform is trusted by leading academics and organizations for its flexibility, simplicity, and rapid project execution.

📋 Description

• 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.

🏖️ Benefits

• Competitive salary • Remote work options