Analytics Engineer
Chicagoonsitemid
via Greenhouse
About this role
The Role
You’ll build a semantic layer that makes our metrics trustworthy, dashboards that make stakeholders self-sufficient, and training programs that stick. You won’t just support analytics; you’ll shape how the company thinks with data. You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence.
This is a hybrid role based in Chicago, IL. In office requirement once every 2 weeks at our office in River North.
Responsibilities
Build clear, accurate Tableau visualizations and data sources that empower stakeholders to explore and understand their data
Design and maintain the semantic layer serving as the single source of truth across all data consumption…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, snowflake, airflow, dagster…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Chicago. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlsnowflakeairflowdagsterdbtfivetrantableaupower bisigma
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