Data Warehouse Analyst

Confidential

Tallahassee (FL)

On-site

USD 95,000 - 135,000

Full time

8 days ago

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Job summary

Confidential is seeking an experienced Data Warehouse Analyst / Report Builder to design and deliver enterprise dashboards and semantic models using Power BI and Snowflake. You will implement advanced SQL, manage data modeling, and collaborate with stakeholders and data engineers to scale BI solutions.

The role requires 5+ years in BI/Data Warehouse with hands-on Power BI, Snowflake, and SQL experience, plus strong analytical skills and governance mindset.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Strong analytical skills and problem‑?
Stakeholder Management
Requirements Gathering
Documentation
Business Analysis

Education

Bachelor's degree in Computer Science / Information Systems

Tools

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

Job description

Job Title: Data Warehouse Analyst / Report Builder (Power BI & Snowflake)

Duration: Long-Term Contract

Job Summary

We 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.

Required Qualifications
  • 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.
Required Technical Skills
BI & Reporting
  • Microsoft Power BI
  • Power BI Report Builder
  • Power BI Service
  • Power Query
  • DAX
  • Semantic Models
  • Paginated Reports
Data Warehouse
  • Snowflake
  • Data Modeling
  • Fact & Dimension Modeling
  • Metadata Management
SQL
  • SQL
  • Stored Procedures
  • Window Functions
  • Query Optimization
  • CI/CD for Power BI
  • Business Analysis
  • Requirements Gathering
  • Stakeholder Management
  • Documentation
Responsibilities
  • 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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