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Loop

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Analytics Engineer

Analytics EngineerAnalytics EngineerFull TimeRemoteSeniorTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

Ohio

Posted

36 days ago

Salary

$105K - $150K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglishETLPythonSQL

Job Description

Analytics Engineer

Loop

• Design, develop, and maintain production-quality dbt models with a focus on performance, readability, and long-term maintainability • Translate business requirements into clean, well-documented data models that analysts and downstream consumers can rely on, including ownership of code reviews and our semantic and metrics layers • Collaborate with Data Engineering on ingestion pipelines, Fivetran and Streamkap connectors, and architecture decisions upstream of modeling, with a practical understanding of Snowflake performance and warehouse costs • Support a dbt contributor base that extends beyond the analytics engineering team, keeping Data Team contributors unblocked and helping them grow their skills • Contribute to the data foundation behind Loop Intelligence, including merchant outcome measurement and shopper-level cohort analyses • Apply data operations fundamentals across your work: Gitlab, CI/CD, automated testing, and documentation that make our data assets easier to discover and use • Use AI tools actively in your workflow and help the team develop shared norms around where and how they add real value

Job Requirements

  • 3+ years of hands-on experience as an analytics engineer, data engineer, or equivalent
  • 2+ years of experience working with dbt in a production environment, including models, sources, tests, and documentation
  • Strong SQL skills and meaningful experience with data warehouse design (Snowflake experience is a plus)
  • Familiarity with data operations fundamentals: Git workflows, CI/CD, and automated testing applied to data
  • Exposure to data engineering concepts, including ETL/ELT pipelines, connector tooling (Fivetran, Streamkap, or similar), and warehouse optimization
  • Python experience for data transformation or automation tasks (nice to have, not required)
  • Business acumen in at least one functional area: Product, GTM, Finance, Marketing, or Customer Experience.

Benefits

  • medical, dental, and vision insurance
  • flexible PTO
  • company holidays
  • sick & safe leave
  • parental leave
  • 401k
  • monthly wellness benefit
  • home workstation benefit
  • phone/internet benefit
  • equity

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