Prolific
Analytics Engineer
Job Summary
The Analytics Engineer role at Prolific involves designing, building, and maintaining scalable data models and pipelines using tools like dbt and SQL. The position requires a strong understanding of cloud platforms and a focus on data accuracy, with responsibilities including optimizing workflows, ensuring data integrity, and documenting processes. The role also emphasizes communicating technical concepts to non-technical stakeholders and mentoring team members. This position supports the company's mission to enhance AI development through high-quality human data infrastructure and offers opportunities for impactful, innovative work.
Required Skills
Benefits
Job Description
Analytics Engineer
Data
Prolific
Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.
The role
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.
What you’ll bring to the role
- 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.
What you’ll be doing in the role
- 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.
Why Prolific is a great place to work
We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity.
Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.
Links to more information on Prolific
Privacy Statement
By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.
Prolific
Prolific helps AI developers, researchers, and organizations easily access the highest-quality human data. Sign up for free.
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.