Data Warehouse Analyst
Job in
Tallahassee, Franklin County, Florida, 32318, USA
Listed on 2026-08-12
Listing for:
Confidential
Seasonal/Temporary
position Listed on 2026-08-12
Job specializations:
-
IT/Tech
Data Warehousing, Business Intelligence, Data Engineering, Data Analyst
Job Description & How to Apply Below
Job Title: Data Warehouse Analyst / Report Builder (Power BI & Snowflake)
Duration: Long-Term Contract
Job SummaryWe are seeking an experienced Data Warehouse Analyst / Report Builder with expertise in Microsoft Power BI, Snowflake, SQL, and dimensional data modeling
. The ideal candidate will develop enterprise dashboards, semantic models, and analytical reports while collaborating with business stakeholders and data engineering teams to deliver scalable, high-performance BI solutions.
- Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience).
- 5+ years of Business Intelligence/Data Warehouse experience.
- 3–5+ years of hands-on Microsoft Power BI development.
- Strong expertise in Snowflake Data Warehouse.
- Advanced SQL development experience including CTEs, Window Functions, and query optimization.
- Experience designing Star Schema and Dimensional Models.
- Experience developing enterprise dashboards and reports.
- Strong analytical and problem-solving skills.
- Microsoft Power BI
- Power BI Report Builder
- Power BI Service
- Power Query
- DAX
- Semantic Models
- Paginated Reports
- Snowflake
- Data Modeling
- Fact & Dimension Modeling
- Metadata Management
- SQL
- Stored Procedures
- Window Functions
- Query Optimization
- CI/CD for Power BI
- Business Analysis
- Requirements Gathering
- Stakeholder Management
- Documentation
- Design and develop Power BI semantic models and dataflows.
- Build enterprise dashboards and reports.
- Develop advanced DAX measures and calculations.
- Write and optimize complex SQL queries.
- Integrate Power BI with Snowflake.
- Optimize Snowflake performance and warehouse usage.
- Maintain metadata and data lineage documentation.
- Troubleshoot reporting and performance issues.
- Collaborate with business users and data engineering teams.
- Translate business requirements into reporting solutions.
- Support governance and reporting best practices.
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