BI & Analytics Engineer

Job not on LinkedIn

🕒 October 26

🐎 Kentucky – Remote

🐎 Kentucky – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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University of the Cumberlands

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1888

📚 Education

Education

University of the Cumberlands is a regionally accredited university based in Williamsburg, Kentucky (with a Northern Kentucky campus in Florence) that offers on-campus and online undergraduate, graduate, executive and certificate programs. The school emphasizes affordability and access through its Cumberlands Commitment and One Price Promise (bundled tuition that includes books and many fees), provides more than 55 majors and pre‑professional programs, serves a large student body (about 20k), and highlights student support services, military‑friendly programs, and campus athletics.

📋 Description

• Own the University's Power BI environment, including workspaces, permissions, publishing, and the lifecycle of existing reports • Build and maintain accurate, accessible, and performant dashboards and reports for operational and leadership audiences • Review existing reports and recommend which to rebuild, consolidate, or retire • Build and maintain dbt models in Snowflake that turn source data into clean, documented, and tested datasets • Build business logic in dbt so reports stay simple and consistent and metrics mean the same thing everywhere • Define and document shared metrics, business definitions, and semantic models supporting reporting and AI agents • Validate data and reports, and investigate and explain discrepancies • Scope requests directly with stakeholders and clarify questions, metrics, definitions, and report usage • Push back constructively on unclear requirements and help stakeholders reach better questions • Explain report logic and data limitations in plain language • Support adoption through training and documentation • Help establish practices for data modeling, report design, documentation, version control, and data governance

🎯 Requirements

• Bachelor's degree in a related field, or an equivalent combination of education and experience • 4+ years of experience in business intelligence, analytics, reporting, or a related data role • Strong SQL skills, including joins, aggregations, CTEs, and troubleshooting data issues • Experience building reports or dashboards in a BI tool such as Power BI, Tableau, Looker, Sigma, or Omni • Solid understanding of data modeling concepts such as fact and dimension tables and star schemas • Demonstrated ability to gather requirements from non-technical stakeholders and turn them into useful reports • Track record of working independently: managing your own priorities and owning work from request to delivery • Strong attention to data accuracy and sound judgment around data privacy and access • Clear written and verbal communication • Preferred: Power BI experience, including DAX, row-level security, and workspace administration • Preferred: Experience with dbt or a similar SQL-based transformation tool • Preferred: Experience with Snowflake or another cloud data warehouse • Preferred: Familiarity with Git or other version control • Preferred: Experience building semantic layers or metric definitions for self-service analytics or AI tools • Preferred: Higher education experience, or familiarity with systems such as Workday Student, Slate, or Blackboard • Preferred: Exposure to data governance practices such as metric certification, data quality, documentation, or lineage

🏖️ Benefits

• Work remotely on a modern data stack: Snowflake, dbt, and Power BI • Real ownership of BI across the University • Founding member of a new Data Engineering team • Opportunity to help shape how the University uses data and AI to make decisions

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