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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced expertise in Power BI development, including DAX, Power Query, and semantic models, while effectively translating business requirements into scalable reporting solutions. Proficient in data modeling principles and complex data transformations using PySpark and SQL for large datasets.
Highest-signal resume keywords
Advanced Power BI DevelopmentDAX ExpertiseComplex PySpark TransformationsSQL Development SkillsData Modeling Principles
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Power BIDAXPySparkSQLData ModelingData CleansingData EnrichmentQuery OptimizationIncremental Data ProcessingDimensional Modeling
Tools & Technologies
Azure DatabricksDelta LakeMicrosoft FabricAzure Data FactoryAzure Synapse AnalyticsSnowflakeGitAzure DevOps
Industry Keywords
Business IntelligenceAnalyticsData EngineeringBankingInsuranceRetailFinancial ServicesData GovernanceMetadata ManagementData Quality
Tech Stack
Tools & technologiesAzurePySparkSnowflakeSparkSQL
About the role
Key responsibilities & impact- Design and develop scalable Power BI dashboards and enterprise reporting solutions
- Build and maintain reusable semantic data models for business reporting and self-service analytics
- Develop complex PySpark transformation logic for cleansing, enriching, aggregating, and preparing large datasets
- Design and implement dimensional data models, including Fact & Dimension tables, Star Schema, and Snowflake Schema
- Collaborate with Data Engineering teams to integrate multiple enterprise data sources into reporting layers
- Develop optimized SQL queries, views, and stored procedures
- Perform data validation, reconciliation, and root cause analysis
- Optimize dashboard performance through DAX measures, query optimization, and model tuning
- Translate business requirements into technical reporting solutions and analytical models
- Partner with Product Owners and business stakeholders to define KPIs and reporting standards
- Promote BI best practices around governance, reusable datasets, naming conventions, and documentation
- Support production issues, data investigations, and continuous improvements across the BI platform
- Work with Data Engineers, Product Owners, Architects, and Business Stakeholders to enable data-driven decision making
Requirements
What you’ll need- Advanced Power BI development experience, including Power BI Service and Self-Service BI solutions
- Strong expertise in DAX, Power Query (M), Semantic Models, and Shared Datasets
- Experience with Row-Level Security (RLS), report performance optimization, and enterprise-scale reporting solutions
- Knowledge of CI/CD practices for Power BI deployments
- Strong hands-on experience developing complex PySpark transformations
- Expertise in data cleansing, data enrichment, aggregations, joins, unions, pivot/unpivot operations, and window functions
- Experience with incremental data processing and performance optimization
- Strong knowledge of Spark SQL and large-scale data processing frameworks
- Solid understanding of data modeling principles, including Star Schema and Snowflake Schema design
- Experience with fact and dimension modeling, dimensional modeling, and data warehouse concepts
- Knowledge of Slowly Changing Dimensions (SCD) and relationship modeling
- Experience designing scalable analytical data models
- Advanced SQL development skills
- Expertise in query optimization, Common Table Expressions (CTEs), window functions, views, and stored procedures
- Ability to develop and optimize complex analytical queries for large datasets
- 5+ years of experience in Business Intelligence, Analytics, or Data Engineering
- Proven experience developing enterprise Power BI solutions
- Strong experience writing PySpark transformation logic for large datasets
- Experience designing dimensional data models for enterprise reporting
- Strong SQL development skills
- Experience working with Agile delivery teams
- Experience in Banking, Insurance, Retail, or Financial Services is nice to have
- Exposure to enterprise data platforms and Lakehouse architecture is nice to have
- Knowledge of data governance, metadata management, and data quality frameworks is nice to have
- Experience mentoring junior BI developers is nice to have
- Preferred: Azure Databricks, Delta Lake, Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Snowflake, Git version control, Azure DevOps, and CI/CD pipelines for data and BI solutions
Benefits
Comp & perks- Flexible, supportive environment
- Access to data and hands-on learning experiences
- Opportunities to certify in all four major platforms
- Dynamic, hybrid-friendly culture
- Be Well programs supporting financial, mental, physical, and social health
- Personalized development goals and continuous feedback
- Certifications with Microsoft, Google, and Amazon
- Coaching and hands-on experiences
- Cutting-edge learning opportunities
- Career pathing and professional development support