BI Developer
Indexed description
What We Offer
- Flexible time off policy
- 401K Company match (up to 4% - dollar for dollar)
- Professional development, training, and tuition reimbursement programs
- Excellent medical, dental, vision, and life insurance policy options
- Opportunities for career advancement with an industry leading company!
Key Responsibilities
Power BI Development & Architecture
- Design, develop, deploy, and maintain enterprise Power BI solutions, including: Semantic Models, Dashboards, Reports, Paginated Reports, KPI Scorecards, Self-Service Analytics Solutions
- Translate business requirements into scalable reporting and analytics solutions.
- Design and implement dimensional data models using star schema and best-practice modeling techniques.
- Develop advanced DAX calculations, measures, calculation groups, KPIs, and time intelligence solutions.
- Create efficient Power Query (M) transformations to cleanse, standardize, and prepare data for reporting.
- Build executive, operational, and analytical dashboards that provide actionable insights.
- Design and maintain enterprise semantic models and reusable business metrics.
- Implement fact and dimension models, hierarchies, aggregations, and composite models.
- Develop analytical solutions supporting operational reporting, performance management, and business intelligence initiatives.
- Ensure consistency of KPI definitions and data calculations across the reporting ecosystem.
- Support self-service reporting while maintaining governance and data quality standards.
- Evaluate and optimize report, dataset, and model performance.Utilize tools such as: DAX Studio, Tabular Editor, Power BI Performance Analyzer, VertiPaq Analyzer
- Troubleshoot refresh, query, gateway, and report performance issues.
- Implement incremental refresh, aggregations, DirectLake, Import, DirectQuery, and Hybrid architectures where appropriate.
- Collaborate with data engineers to design and support data pipelines and analytics solutions.
- Work with data sourced from: Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, SQL Server, Excel and other enterprise systems
- Support data validation, reconciliation, and quality assurance activities.
- Assist with migration and modernization initiatives involving cloud and enterprise data platforms.
- Implement and maintain: Row-Level Security (RLS), Object-Level Security (OLS), Workspace Governance, Dataset Certification, Access Management Standards
- Support deployment pipelines and release management processes across Development, Test, and Production environments.
- Ensure compliance with enterprise BI governance standards, naming conventions, and development best practices.
- Maintain technical documentation, data dictionaries, and reporting standards.
- Partner with business stakeholders to gather requirements and define reporting solutions.
- Facilitate workshops and requirements discovery sessions.
- Provide guidance on KPI development, reporting strategy, and visualization best practices.
- Present findings and recommendations to technical and non-technical audiences.
- Serve as a subject matter expert for Power BI and enterprise reporting.
- Provide technical leadership and mentorship to junior and mid-level developers.
- Conduct design reviews and code reviews.
- Promote Power BI development standards and best practices across the organization.
- Contribute to strategic planning and continuous improvement of the analytics platform.
- 8+ years of experience in Business Intelligence, Data Analytics, or Data Warehousing.
- 5+ years of hands-on Power BI development experience.
- Experience delivering enterprise-scale reporting and analytics solutions.
- Experience working directly with business stakeholders and technical teams.
- Expert-level experience with:
- Power BI Desktop
- Power BI Service
- Semantic Models
- Power Query (M)
- DAX
- Paginated Reports
- Deployment Pipelines
- Power BI Administration
- DAX Studio
- Tabular Editor
- Performance Analyzer
- VertiPaq Optimization
- Calculation Groups
- Incremental Refresh
- Composite Models
- DirectQuery and DirectLake Architectures
- Dimensional Modeling
- Star Schema Design
- Fact and Dimension Modeling
- Many-to-Many Relationships
- Data Warehousing Concepts
- Slowly Changing Dimensions (SCDs)
- Advanced SQL development skills:
- Complex joins
- Window functions
- Common Table Expressions (CTEs)
- Stored Procedures
- Query Optimization
- Data Validation
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Microsoft Fabric
- SQL Server
Azure Data Lake Storage (ADLS)
- Fabric Lakehouse
- Fabric Warehouse
- Fabric Data Pipelines
- DirectLake Semantic Models
- Power Platform
- Python for analytics or automation
- Azure DevOps
- Git-based source control
- CI/CD pipelines and automated deployments
- Help advance the organization's modern analytics strategy through the effective use of Microsoft Fabric, Azure Data Factory, Azure Synapse, and Power BI.
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