Merit America logo
Merit America

Merit America closes the opportunity gap at scale by preparing adults stuck in low-wage roles for well-paying careers.

Analytics Engineer

Analytics EngineerAnalytics EngineerFull TimeRemoteSeniorTeam 51-200Since 2018H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

$152K / year

Seniority

Senior

Bachelor Degree4 yrs expEnglishCloudSQL

Job Description

Analytics Engineer

Merit America

• Own and improve canonical data models • Own and evolve the dbt models that transform raw source-system data into durable, reporting-ready tables. • Improve models over time by reducing duplication, clarifying grain, and documenting business logic. • Turn recurring reporting needs into reusable models rather than one-off queries. • Identify opportunities to simplify the data model and make reporting easier to understand and maintain. • Own the Lightdash semantic layer so core metrics are defined consistently and documented where they're used. • Maintain source-of-truth definitions, promoting and deprecating metrics as the business changes. • Improve the reporting ecosystem over time by making analytics more self-service and easier to use. • Build and maintain observability, testing, and monitoring across the analytics stack so data quality issues are identified early and resolved across source systems, transformations, and BI outputs. • Maintain strong development practices: version control, PR review, documentation, testing • Review analytics work for modeling quality and maintainability, and help analysts use the stack effectively. • Cross-train teammates so knowledge is shared rather than concentrated.

Job Requirements

  • 4+ years working with SQL and a modern cloud data warehouse
  • Strong hands-on experience with dbt
  • Experience building and maintaining canonical data models and governed metrics that support reporting and self-service analytics
  • Experience working with a semantic layer or governed BI environment (Lightdash, LookML, dbt Semantic Layer, or similar).
  • Strong grasp of data modeling concepts, and the judgment to work effectively in complex, evolving business domains
  • Comfort experimenting with AI tools as part of technical work, with strong judgment around validation, privacy, and data quality.
  • Demonstrated history of proactively improving data models, reporting systems, or governance processes without waiting for every need to be fully scoped
  • Strong communication with technical and non-technical stakeholders, including explaining tradeoffs and limitations clearly
  • Strong development discipline: version control, code review, testing, documentation
  • Ability to help analysts and business partners use data in sustainable, governed ways

Benefits

  • Medical, Dental and Vision insurance (100% Paid Employee Only Coverage)
  • Flexible Spending Account and Health Savings Account
  • Dependent care Flexible Spending Account
  • Health Reimbursement Account fully funded by Merit
  • Education & personal development reimbursement
  • Catalog of courses for professional learning and development
  • Short and long-term disability
  • Unlimited vacation (after a 90-day introductory period)
  • Paid Parental Leave and Adoption benefits (after 1 year of employment)
  • 11 federally recognized holidays
  • 2 week holiday office closure in December/January
  • 401(k) retirement plan with automatic Merit contribution
  • Wellness Benefits/Wellness Resources
  • Discount perks at work program
  • Phone/technology stipend
  • Home office setup stipend
  • Affinity groups and community building via virtual, in-person, and/or regional meetups

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