Senior BI Developer

University of Colorado

1d•$90,000 - $100,247•Hybrid

About The Position

The Senior BI Developer provides expert-level business intelligence and data analysis support for Health Data Compass and the Anschutz research community. This role is responsible for delivering complex, high-value datasets in response to faculty and investigator requests, developing reports and visualizations, and designing scalable BI solutions within a HIPAA-compliant cloud environment. Senior BI Developers serve as subject matter experts for healthcare and research data, taking ownership of projects from intake through delivery. They lead work independently, set and manage expectations with stakeholders, and mentor junior team members while contributing to the overall quality, consistency, and reliability of Compass’s data services.

Requirements

Bachelor’s degree in a health science-related field (e.g., biostatistics, epidemiology, etc.) or a related field from an accredited institution.
At least four (4) years of professional-level experience in a healthcare-related environment working with enterprise data warehouses, including data profiling, data quality assessments, data analysis/reporting, data set curation, or equivalent experience.
At least two (2) years of SQL programming experience.
Experience may be obtained simultaneously
Applicants must meet minimum qualifications at the time of hire.
Ability to communicate effectively, both in writing and orally.
Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.
Outstanding customer service skills.
Advanced BI Developer skills.
Excellent customer service skills.
Excellent written and oral communication skills.
SQL skills for querying data (especially for cloud computing).
BI developer skills (e.g., Tableau reports).
Experience working within HIPAA-compliant and other sensitive data environments.
Extensive experience with clinical data (e.g., Epic proficiencies or certifications).
Strong analytical skills, critical thinking, attention to detail and accuracy, and strong interpersonal skills.
Ability to support the development of BI dashboards and reports, and data analytic initiatives.
BI developers are required to complete the Epic training plan and obtain certification within six months of hire.
Maintain Epic certifications and training throughout employment.

Nice To Haves

Epic Certified in Caboodle Data Model, Clarity Data Model, and/or Clinical Data Model.
Master’s degree in a health science-related field (e.g., biostatistics, epidemiology, etc.) or a related field from an accredited institution.
Experience managing terminology mapping documentation, data profiling, and data mapping documentation.
Experience in standardized clinical code systems (e.g., SNOMED CT, LOINC, RxNorm) and common data models (OMOP).
Experience working with secure web platforms for building and managing databases (e.g., REDCAP).
Experience working in an academic core service or support service.

Responsibilities

Develop Code from Healthcare Data – 70%25
Expertly navigate electronic medical record databases.
Develop SQL queries for high-quality datasets and data marts.
Verify HIPAA and institutional compliance requirements are complete before delivering data.
Ensure accurate project documentation through the Compass case management system.
Act as a business intelligence and data analysis subject matter expert.
Customer Service – 20%25
Lead customer engagement, scoping, and documentation for data requests.
Ensure project scope, quality standards, and delivery timelines are met.
Identify and communicate data anomalies in a timely manner.
Direct users to appropriate resources for storage and computing needs.
Team Collaboration – 10%25
Mentor and support other members of the Data Delivery team.
Enhance data delivery processes and refine organizational policies to align with industry best practices.
Facilitate code reviews, mentor junior BI Developers, and share expertise to promote team skill development.
Collaborate with engineers to troubleshoot data quality issues and validate new data sources.