Cloud Power BI Developer

Harvest Strategy Group, based in Englewood, CO, is a national leader in consumer debt collection management. We offer competitive compensation and the chance to work with top financial institutions in a collaborative environment. The Cloud Power BI Developer is responsible for developing, modernizing, and supporting Harvest’s cloud BI reporting platform. This role manages semantic models, publishes and administers Power BI reports and datasets, oversees client access and security, and ensures reliable data operations. The position works closely with IT and business teams to deliver recurring reports and maintain clear, accessible reporting standards and documentation. 

REPORTS TO: Director of IT Operations 

SUPERVISES: None 

SALARY/BENEFITS $85,000-$95,000 / year 

LOCATION:  160 Inverness Drive West, Ste 200, Englewood, CO 80112 

HYBRID/REMOTE WORK: This position can be either onsite or remote. Hybrid preferred. Some onsite travel may be necessary for remote employees.   

POSITION RESPONSIBILITIES 

Cloud BI Architecture & Dataset Development 

• Architect and develop cloud-based Power BI datasets and reports in Power BI Service / Microsoft Fabric. 

• Design reusable semantic models (star schemas, measures, calculation groups as appropriate) that support multiple reports, audiences, and clients. 

Security, Governance & Client Access 

• Implement and maintain scalable row-level security (RLS) and role design to protect client-segmented and regulated data. 

• Administer workspaces, apps, and permissions; manage internal vs. external access, including onboarding/offboarding and client access requests. 

• Establish and document standards for report organization, definitions, and user guidance to ensure consistent, governed delivery across the reporting catalog. 

Modernization, Data Sources & Refresh Operations 

• Migrate and modernize legacy BI content into Power BI Service / Fabric, including refactoring calculations and standardizing formatting. 

• Configure and support data sources, gateways, and refresh schedules; monitor refresh health, troubleshoot failures, and validate data integrity. 

• Optimize model performance and memory utilization through efficient DAX, appropriate aggregation strategies, and thoughtful model design. 

Reporting Delivery & Stakeholder Support 

• Partner with business owners to gather requirements and deliver client-facing and internal reports, including recurring deliverables such as EOM reporting and ad hoc QBR requests. 

• Build and maintain report pages, measures, and visuals with a focus on accuracy, usability, and consistent standards (fonts, number formats, definitions). 

• Support dataset exports and external data delivery patterns (scheduled or on-demand) where required; document processes and coordinate with IT as needed. 

Production Support & Incident Response 

• Support production reporting by triaging and resolving issues related to refresh failures, access/permissions, broken visuals, and data discrepancies; communicate status and resolution clearly. 

Data & Platform Collaboration 

• Collaborate with data engineering/warehouse and IT teams to align semantic models with source systems, resolve data issues, and support platform changes affecting reporting. 

Documentation & Enablement 

• Create and maintain user-facing and technical documentation (report definitions, workspace organization, access instructions, deployment/refresh processes) to reduce friction and improve adoption. 

Delivery Planning & Backlog Management 

• Plan and execute BI deliveries from requirements through validation and deployment, coordinating timelines, testing, and release communication. 

• Manage intake and prioritization of reporting requests; maintain a backlog of enhancements, defects, and operational tasks. 

Continuous Improvement 

• Identify opportunities to streamline reporting delivery (standardized templates, reusable measures, automated refresh/exports, and clearer definitions) to improve quality and reduce cycle time. 

 ROLE QUALIFICATIONS 

• 3 years Power BI development experience delivering production datasets and reports. 

• Strong DAX, Power Query (M), and dimensional/semantic data modeling skills. 

• Experience with Power BI Service (workspaces, apps, deployments) and Microsoft Fabric. 

• Strong understanding of relational data, SQL, and warehouse concepts; ability to validate data and troubleshoot source-to-report issues. 

• Experience implementing row-level security and client-segmented delivery models. 

• Experience supporting production BI operations (refresh monitoring, incident triage, access requests, and documentation). 

• Excellent written and verbal communication skills; ability to translate business questions into clear, usable reporting. 

• Demonstrated ability to manage multiple concurrent reporting priorities (EOM, client requests, enhancements) while maintaining quality and governance. 

Education 

• Bachelor’s degree in information systems, computer science, analytics, or equivalent practical experience. 

• Microsoft Power BI and/or Fabric certifications are preferred (or equivalent demonstrated expertise). 

• Experience with SQL-based reporting, data integration, and/or warehouse environments is strongly preferred. 

Skills 

• Microsoft Fabric experience (Lakehouse/Warehouse, Dataflows Gen2, pipelines) is a plus. 

• Azure data platform experience (Azure SQL, Synapse, or equivalent) and comfort working with gateways and connectivity patterns. 

• CI/CD for BI deployments (deployment pipelines, Git integration, or comparable release controls) is a plus. 

• Experience supporting regulated or client-segmented data, including secure sharing patterns and audit-friendly documentation. 

• Strong analytical mindset with attention to detail; ability to validate calculations and reconcile outputs with stakeholders. 

• Strong customer-service orientation; responsive communication with internal teams and external clients. 

• Able to manage multiple priorities and deliver on timelines with minimal supervision. 

• Comfortable supporting a production analytics environment, including on-call style response during critical reporting periods (e.g., month-end). 

KEY PERFORMANCE INDICATORS (KPIs): 

Platform Reliability & Data Quality 

• Dataset refresh success rate and time-to-resolution for failures 

• Data accuracy and consistency of key metrics across reports (definition adherence) 

• Successful go-lives and migrations of reports/datasets with minimal disruption 

• RLS effectiveness (no cross-client data exposure) and audit-ready access documentation 

• Performance of core datasets/reports (load time, responsiveness, capacity utilization where applicable) 

Delivery & Stakeholder Satisfaction 

• Turnaround time for new report builds and enhancements (from request to deployment) 

• Stakeholder satisfaction with report usability, clarity of definitions, and responsiveness to feedback 

• Successful delivery of recurring commitments (e.g., EOM reporting packages, client requests, exports) 

• Adoption and self-service usage of standardized workspaces and report catalog 

Governance & Enablement 

• Completeness and freshness of documentation (definitions, access guides, deployment/refresh runbooks) 

• Time-to-grant for access requests (internal and client) with correct role assignment 

• Reduction in duplicated logic through reuse of shared datasets/semantic models 

• • Improvement in report consistency (standard formatting, definitions, and navigation across the catalog)