Power BI Front-End Developer Knowledge, Skills, and Abilities (KSA) Document
1. Knowledge
Power BI & Data Visualization
- Strong understanding of Power BI Desktop and Power BI Service.
- Knowledge of data modeling concepts, including star schemas, relationships, and data normalization.
- Understanding of DAX (Data Analysis Expressions) for calculated columns, measures, and KPIs.
- Familiarity with Power Query (M language) for data transformation and cleaning.
- Knowledge of report lifecycle management, workspace configurations, and dataset governance.
- Awareness of row-level security (RLS) and data access best practices.
- Understanding of UX/UI principles for dashboard layout, color theory, and effective data storytelling.
- Knowledge of Power BI Paginated Reports for pixel-perfect, production-ready reporting.
Data & BI Concepts
- Solid understanding of business intelligence principles, including ETL, semantic modeling, and data governance.
- Working knowledge of SQL and relational database structures.
- Knowledge of common data sources used in enterprise BI (SQL Server, SharePoint, Azure Synapse, Dataverse, etc.).
- Knowledge of healthcare operations and terminology, preferably within Medicaid, including claims, encounters, eligibility, provider data, and regulatory reporting requirements.
Microsoft Ecosystem
- Familiarity with Microsoft Fabric, Azure Data Lake, and other cloud data tools.
- Knowledge of integrating Power BI with Power Apps, Power Automate, and Teams.
2. Skills
Technical Skills
- Ability to design intuitive and engaging Power BI reports with drill-through, bookmarks, hierarchies, and custom visuals.
- Strong DAX development skills to build dynamic, scalable measures.
- Skilled in data cleansing, merging, and transformation with Power Query.
- Ability to optimize report performance (reducing load times, improving model efficiency).
- Experience publishing, refreshing, and managing datasets in Power BI Service.
- Ability to troubleshoot data issues, refresh failures, and performance bottlenecks.
- Ability to automate and orchestrate processes using Power Automate.
Analytical & Problem-Solving Skills
- Ability to translate business questions into analytical requirements.
- Comfortable working with ambiguous or incomplete requirements.
- Skilled at data storytelling presenting insights clearly and concisely.
Collaboration Skills
- Works effectively with business stakeholders, data engineers, and leadership.
- Strong communication skills to explain technical concepts in simple terms.
- Ability to gather requirements through interviews, workshops, or user stories.
3. Abilities
Design & Development Abilities
- Ability to create user-friendly dashboards aligned with business needs and branding guidelines.
- Ability to prototype and iterate on visual designs based on feedback.
- Ability to maintain version control and manage incremental report updates.
Operational & Organizational Abilities
- Ability to manage multiple report development projects simultaneously.
- Ability to prioritize enhancements, bugs, and stakeholder requests.
- Ability to write clear documentation for data models, reports, and processes.
Strategic Abilities
- Ability to identify new opportunities where analytics can improve decision-making.
- Ability to enforce and improve BI governance and best practices.
- Ability to serve as a subject matter expert (SME) on BI tools and visualization standards.
4. Optional / Nice-to-Have KSAs
- Knowledge of Python or R for advanced analytics.
- Experience with Microsoft Fabric, Lakehouses, or Azure Synapse.
- Familiarity with Agile/Scrum environments.
- Experience creating custom Power BI visuals using JavaScript or TypeScript.
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