Data Warehouse Analyst

Genius Road, LLC
Tallahassee, FL, United States
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Query Performance Business Analytics Applications Data Analysis Cluster Analysis Encodings Continuous Integration Data Architecture Information Engineering Data Visualization Data Warehousing Database Development Dimensional Modeling
+15 more
Document-Oriented Databases Metadata Performance Tuning Query Optimization Role-Based Access Control Power BI SQL Databases Snowflake Powerquery Information Technology Data Lineage Data Analytics Star Schema Tools for Reporting Software Version Control

Job description

This position does not support third-party submissions, subcontracting, or Corp-to-Corp (C2C) arrangements. We are seeking an experienced Data Warehouse Analyst to design, develop, and optimize enterprise reporting and analytics solutions using Microsoft Power BI and Snowflake. This role is responsible for building scalable dashboards, semantic models, and data visualizations, developing advanced DAX and SQL solutions, optimizing reporting performance, and partnering with business and technical stakeholders to deliver reliable, data-driven insights while maintaining enterprise standards for governance, documentation, and data quality., * Design, develop, and maintain Power BI dataflows, semantic models, dashboards, and enterprise reports using dimensional modeling and Power BI best practices.

  • Develop advanced DAX calculations and optimized SQL queries to support high-performance analytics and reporting against Snowflake data sources.
  • Collaborate with data engineering teams to optimize Snowflake fact and dimension tables and ensure efficient Power BI integration, query performance, and data reliability.
  • Build intuitive, scalable reporting solutions that meet business requirements while troubleshooting and optimizing Power BI, SQL, and Snowflake performance.
  • Document data lineage, metadata, report specifications, and technical artifacts to support governance, maintainability, and enterprise standards.
  • Partner with business users, subject matter experts, and technical teams to deliver enterprise-ready reporting solutions while providing ongoing support and continuous process improvement.

Requirements

  • 5+ years of IT experience with business intelligence, data analytics, and reporting solutions.
  • 3+ years of hands-on experience developing enterprise Power BI reports, dashboards, semantic models, and paginated reports using advanced DAX, Power Query, and performance optimization techniques.
  • Strong expertise in SQL development, dimensional modeling, star schema design, and Snowflake data architecture, including query optimization, clustering, RBAC, and compute management.
  • Experience integrating Power BI with Snowflake, managing metadata, data lineage, governance, and enterprise reporting documentation.
  • Knowledge of Power BI workspace administration, Report Builder, report embedding, and CI/CD/version control best practices.
  • Excellent analytical, communication, problem-solving, and collaboration skills with the ability to translate business requirements into scalable reporting solutions and work effectively with technical and business stakeholders.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:52 min

Navigating data warehouse performance for application developers

Adnan Rahic · JS Congress

3:17 min

Optimizing character encoding with Kim variable byte encoding

Douglas Crockford Douglas Crockford · WWC 2024

1:47 min

Comparing Egeria to alternative open metadata solutions

Ferd Scheepers · WWC 2022

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:12 min

Distilling cross-encoder models into smaller efficient sentence embedding models

Marek Suppa · LIVE

Videos

See all

Related articles

See all