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About the role
Aceable is looking for a Sr Analytics Engineer who likes solving holistic data problems. This is a hands-on role that sits on a small team at the intersection of Data Engineering and Business Intelligence. In this role, you’ll be empowered to solve high-visibility data architecture and pipeline problems from beginning to end. One week you might build a new data pipeline or troubleshoot why data isn't landing where it should.
What they're looking for
- 7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a similarly technical data role
- Advanced SQL and hands-on experience building production-scale transformations in a cloud data warehouse, ideally Snowflake, dbt, and GitHub or close equivalents
- A strong understanding of dimensional modeling, data marts, data quality testing, documentation, version control, code review, and software development lifecycle practices
- Experience with at least one data integration, ETL/ELT, orchestration, or event-data platform, plus a solid understanding of how data moves from source systems through transformation and into downstream reporting
- Experience building semantic models, DAX measurements, dashboards, and self-service data products using Power BI or an equivalent modern BI platform
More about this role
Aceable is looking for a Sr Analytics Engineer who likes solving holistic data problems. This is a hands-on role that sits on a small team at the intersection of Data Engineering and Business Intelligence. In this role, you’ll be empowered to solve high-visibility data architecture and pipeline problems from beginning to end. One week you might build a new data pipeline or troubleshoot why data isn't landing where it should. The next week, you could be designing a dbt model, creating a semantic view or AI agent in Snowflake, building a Power BI dashboard, or partnering with a stakeholder to turn a fuzzy business question into a data product people can actually trust and use.
We don't expect you to be an expert in every tool we use. We do expect meaningful technical depth in multiple areas, strong problem-solving instincts, experience and excitement around AI, and the curiosity to jump into unfamiliar territory when the problem calls for it.
If you like variety, autonomy, solving messy problems, and building things from source data all the way through to the person making the decision, you will love working with us.
- Own data products end to end. Take a problem from source data...
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