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Prolific

Building a better world with better data.

Lead Analytics Engineer

Analytics EngineerAnalytics EngineerFull TimeRemoteSeniorTeam 51-200Since 2014H1B SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

81 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishAWSCloudGoogle Cloud PlatformSQL

Job Description

Lead Analytics Engineer

Prolific

• 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.

Job 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

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