HDR
Engineering
AnalyticsEngineer2
Neural analysis suggests this role is
optimal for Mid candidates.
“Analytics Engineer 2 at HDR. Skills: Analytics modeling, Data modeling, SQL. Design analytics models. Develop analytics models”
What You'll Achieve.
Ensure consistent definitions; Ensure reliability of published analytics datasets; Improve quality; Reduce regressions; Support adoption
Industry & Context.
Translate business questions
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Experience in analytics, BI, or data roles, Demonstrated modeling and SQL proficiency, Translate business requirements into stable, reusable data models, Familiarity with BI/reporting consumption patterns
Nice to Have
In depth experience with dbt Cloud or dbt Core, Experience with BI tools, Semantic modeling patterns, Familiarity with CI/CD for analytics models
What You'll Do.
Design analytics models
Develop analytics models
Create semantic structures
Partner with analysts
Translate business questions
Implement models using layered patterns
Use managed dependencies
Apply incremental strategies
Document KPIs/metrics
Maintain transformation-layer documentation
Publish lineage artifacts
Contribute to governance practices
Implement automated tests
Implement freshness checks
Participate in peer review
Participate in CI checks
Enable stakeholders through documentation
Enable stakeholders through demos
Enable stakeholders through shared patterns
How You'll Work.
Team & Collaboration
Partner with analysts
Communication Scope
Documentation; Demos
Full Job Description
At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Analytics Engineer 2, we'll count on you to: •Design and develop analytics models aligned to business processes and reporting needs. •Create curated marts and semantic structures that promote reuse and consistent interpretation. •Partner with analysts to translate business questions into durable data models. •Implement models using layered patterns (raw/conformed/curated) and modular SQL design. •Use managed dependencies and reusable components (e.g., shared functions/templates) for standardized patterns and reuse. •Apply incremental strategies where appropriate to improve refresh performance and manage costs. •Define, document, and maintain KPIs/metrics; ensure consistent definitions across reporting surfaces. •Maintain transformation-layer documentation (model/column descriptions) and publish lineage artifacts for impact analysis. •Contribute to governance practices including naming conventions, tagging/metadata, and change management. •Implement automated tests and freshness checks to ensure the reliability of published analytics datasets. •Participate in peer review and CI checks to improve quality and reduce regressions. •Enable stakeholders through documentation, demos, and shared patterns to support adoption. Preferred Qualifications •In depth experience with dbt Cloud or dbt Core with Git
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