BI Analytics Engineer

United Energy Workers Healthcare•Murray, UT

15h•$90,000 - $120,000

About The Position

At United Energy Workers Healthcare, we provide exceptional home healthcare services to former Department of Energy workers under the Energy Employees Occupational Illness Compensation Program Act (EEOICPA). With 14+ years of experience across 24 states and 36 locations, we are a trusted partner in patient health, recovery, and well-being. We do not just provide care, we become an integral part of the energy worker community, helping it grow while delivering the highest standard of care. Our mission is to provide compassionate, high-quality healthcare while upholding excellence in everything we do. Join us as we elevate the lives of energy workers with unwavering compassion and whole-person care. We are seeking a versatile BI Analytics Engineer to work across the full spectrum of business intelligence and analytics engineering. This hybrid role combines expertise in BI visualization and dashboard development (in Hex) with modern analytics engineering practices (heavy focus on dbt) and data analysis. You'll transform raw data into reliable models, uncover actionable insights, and build compelling BI solutions that empower stakeholders to drive business decisions. This role is ideal for someone who excels at blending technical data modeling with business storytelling in a modern data stack environment.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (Master’s preferred).
4+ years of experience in Business Intelligence or Data Analytics.
Proficiency in BI tools such as Apache Superset, Power BI, Tableau, Qlik, or Looker.
Strong knowledge of SQL, data modeling, and requirements gathering.
Experience working with modern data platforms (e.g., Snowflake, Redshift, Azure Synapse).
Exceptional communication skills and the ability to interface with technical and non-technical stakeholders.
Must pass a criminal background check

Nice To Haves

Python or R for analysis and automation
Data modeling/transformation tools (e.g. dbt, Azure Data Factory, SQLMesh, etc.)
Exposure to data governance tools and frameworks.
Independent yet collaborative in a fast-paced setting

Responsibilities

BI Development & Visualization Design and build interactive dashboards, reports, and self-service tools using BI platforms (e.g., Tableau, Power BI, Looker, or Mode) to turn data into clear, impactful stories for stakeholders.
Translate business requirements into technical specifications and scalable BI solutions.
Optimize queries and business logic to ensure data accuracy and performance.
Data Modeling & Transformation Collaborate with ETL Team Lead to ensure all upstream data requirements are built to stage data for BI dashboards.
Build, maintain, and test scalable data models in dbt to create clean, trustworthy datasets.
Analytics & Insights Conduct exploratory and diagnostic analysis to identify trends, define KPIs, answer business questions, and deliver recommendations.
Stakeholder Collaboration Work closely with teams across the organization to understand requirements and ensure analytics align with business goals.
Data Governance & Quality Ensure compliance with data governance standards and practices, such as HIPAA.
Implement and monitor data quality frameworks and validation routines.
Maintain documentation for data models, definitions, and processes.
Analytics Process & SDLC Help define, evolve, and maintain the data team's SDLC processes, applying software engineering best practices (version control, testing, CI/CD) to dbt models, BI assets, and workflows to optimize reliability, speed, and scalability of the data & analytics function.
OTHER DUTIES AND RESPONSIBILITIES: This position will require occasional travel to UEW events and meeting with business stakeholders at our various field offices.