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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Business Intelligence and Data Warehousing, with strong capabilities in Power BI, SQL, and AI-assisted development. Proficient in implementing data management practices and analytics solutions that align with organizational goals.
Highest-signal resume keywords
Power BI DevelopmentAdvanced SQL SkillsETL/ELT Pipeline ImplementationAI-Assisted Development PlatformsData Governance Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data VisualizationDAXPower QuerySSRSSSISAzure Data FactoryAzure SynapseAzure Data LakeMachine Learning Data PipelinesPrompt Engineering
Soft Skills
Communication with Non-Technical UsersKnowledge Sharing
Tools & Technologies
Microsoft FabricPower AutomateGitHub CopilotCursorClaude Code
Industry Keywords
Healthcare Industry ExperienceData GovernanceCompliance KnowledgeSemantic ModelingAI and Machine Learning Integrations
Tech Stack
Tools & technologiesAzureCloudETLPythonSparkSQLSSIS
About the role
Key responsibilities & impact- Design and develop user-facing data visualization and presentation tools, including SSRS reports, Power BI dashboards, and Excel PivotTables
- Develop data retrieval and data management capabilities for Evolent Health
- Help align BI data assets with organizational strategic goals
- Implement business analytics practices to improve decision-making, efficiency, and performance
- Support technology improvements and continuous enhancements of the core BI platform
- Perform complex data analysis using advanced SQL and Excel for client requests, queries, ad-hoc requests, business continuity, and analytics
- Communicate with non-technical business users to gather report and BI solution requirements
- Maintain existing BI applications and reports
- Present work and participate in knowledge-sharing sessions
- Apply AI-assisted engineering across requirements analysis, pipeline and code development, testing, debugging, documentation, and operational monitoring
- Iterate with AI on solution design and architecture and produce design artifacts for review
- Validate AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness
- Design and support data platforms and governed datasets for machine learning, analytics, and generative AI workloads
- Contribute reusable prompts, skills, agents, engineering playbooks, and AI-assisted development patterns
- Ensure AI usage complies with intellectual property, security, privacy, PHI handling, and Responsible AI policies
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
- 5+ years of experience in BI/Data Warehouse domain, developing BI solutions and data analysis tasks
- Strong proficiency in Power BI, including reports, dashboards, DAX, and Power Query
- Experience with Microsoft Fabric, including Lakehouses, Dataflows Gen2, Direct Lake capabilities, and Power Automate
- Experience with Azure Data Services, such as Azure Data Factory, Azure Synapse, and Azure Data Lake
- Hands-on experience with SSRS and SSIS
- Advanced SQL skills for data manipulation and performance tuning
- Experience implementing ETL/ELT pipelines
- Ability to work with relational and cloud-based data sources
- Experience using AI-assisted development platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools in production work
- Strong prompt engineering skills
- Experience with AI-assisted testing and AI-enabled delivery practices
- Experience with machine learning data pipelines, vector search technologies, document processing pipelines, or AI data preparation techniques
- Working knowledge of data governance, lineage, quality, and observability practices supporting AI-enabled solutions
- High-speed internet over 10 Mbps at home
- Government-issued photo ID, comprehensive background check, in-person I-9 verification, and possible drug screening prior to employment
- Preferred: healthcare industry experience with authorizations, claims, eligibility, and patient clinical data
- Preferred: Python, Spark, or Databricks experience
- Preferred: DevOps/Git, deployment automation, and CI/CD familiarity
- Preferred: data governance, security models, and compliance knowledge
- Preferred: semantic modeling in Power BI and/or Analysis Services tabular models
- Preferred: AI and machine learning integrations within Microsoft Fabric or Azure
Benefits
Comp & perks- Work/life balance
- Flexible work arrangements
- Autonomy to get things done
- Health insurance benefits for qualifying employees
- Comprehensive benefits for qualifying employees