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Data Warehouse Analyst Jobs (NOW HIRING)

TRC Talent Solutions

Warehouse Analyst

Whitsett, NC · On-site

Warehouse Data Analyst Position Overview TRC is seeking a highly analytical and detail-oriented Warehouse Analyst . This position plays a critical role in providing data-driven insights that help ...

KG Tiger

DATA WAREHOUSE DEVELOPER/ANALYST

Natick, MA

The Data Warehouse Developer-Analyst will be supporting a new area of analysis involving User Experience data with our products. Through the new Marts supporting analysis of this data, the incumbent ...

Bcbsri

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Analyze, define, maintain, and manage business data contained within the enterprise data warehouse ... Map and verify data from new data sources into the warehouse, ensuring the integrity of the data.

Avani Technology Solutions, Inc.

Oracle BI

Houston, TX · On-site

Houston TX Duration: 9 Months Skillsets: • 8 years of experience as a Data Warehouse Analyst • Proficient on SQL queries development • Knowledge on Data warehouses techniques with emphasis on ...

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How much do data warehouse analyst jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data warehouse analyst in the United States is $48.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $57.69 per hour, depending on experience, location, and employer.

What is the difference between Data Warehouse Analyst vs Data Analyst?

AspectData Warehouse AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related; certifications like CDMP or DAMA often preferredBachelor's in Statistics, Mathematics, or related; certifications like Microsoft Data Analyst Associate common
Work EnvironmentFocus on database management, ETL processes, and data warehousing toolsFocus on data visualization, reporting, and data interpretation
Employer & Industry UsageUsed in organizations with large data infrastructure, BI teams, and data engineeringUsed across various industries for business insights, marketing, finance, and operations

The Data Warehouse Analyst specializes in managing and optimizing data storage systems, ensuring data quality, and supporting business intelligence infrastructure. In contrast, the Data Analyst focuses on analyzing data to generate reports and insights for decision-making. While both roles require strong analytical skills, the Data Warehouse Analyst emphasizes data architecture and ETL processes, whereas the Data Analyst emphasizes data interpretation and visualization.

What are some common challenges data warehouse analysts face when integrating data from multiple sources?

Data Warehouse Analysts often encounter challenges such as inconsistent data formats, varying data quality, and discrepancies in source system structures when integrating data from multiple sources. Addressing these issues requires strong data profiling skills and close collaboration with data owners and IT teams to establish data cleansing and transformation processes. Additionally, ensuring data integrity and managing large volumes of information can be demanding, but leveraging ETL tools and robust documentation practices can help streamline the process and maintain data accuracy.

What does a data warehouse analyst do?

Data warehouse analysts gather and process information stored in the company database. Their job duties include designing and managing the database, troubleshooting issues as they arise. As a data warehouse analyst, you research and evaluate data to make recommendations to management about ways to improve data storage, reporting, and other business issues. A senior-level analyst may manage a team and be responsible for the integrity of data extraction and ensuring company information is secure.

What are the key skills and qualifications needed to thrive as a data warehouse analyst, and why are they important?

To thrive as a Data Warehouse Analyst, you need expertise in data modeling, SQL, ETL processes, and a background in computer science, information systems, or a related field. Familiarity with data warehousing tools like Microsoft SQL Server, Oracle, Informatica, or cloud platforms, as well as certifications such as Certified Data Management Professional (CDMP), is often required. Analytical thinking, problem-solving, and strong communication skills help analysts interpret complex data and convey actionable insights to stakeholders. These competencies ensure accurate data integration, efficient reporting, and support data-driven decision-making within organizations.

What is a data warehouse analyst?

Data Warehouse Analysts are professionals who design, implement, and manage data warehouse systems to help organizations store, retrieve, and analyze large volumes of data. They work with various data sources, ensure data integrity, and create reports or dashboards for business decision-making. Their role involves collaborating with IT teams, business analysts, and stakeholders to understand data requirements and translate them into technical solutions. They also optimize data processes and ensure the data warehouse operates efficiently and securely.
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Data Warehouse Analyst jobs near you
Infographic showing various Data Warehouse Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,897 per year, or $49 per hour.

Data Warehouse Analytics Specialist

Challenger School Human Resources

Sandy, UT • On-site

$80K - $95K/yr

Temporary

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Data Warehouse & Analytics Specialist
Location: Sandy, Utah (100% On-Site)
Department: Research, Operations, and R&D
About Challenger School
Challenger School is an independent private school organization committed to providing exceptional education and fostering critical thinking, personal responsibility, and intellectual growth. Our Research & Development team supports data-driven decision making across the organization and is actively building modern analytics, data warehouse, semantic modeling, and AI-enabled capabilities.
Position Overview
Challenger School is seeking a Data Warehouse & Analytics Specialist to help build trustworthy, well-documented, AI-ready data assets that support reporting, analytics, research, and operational decision making.
This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge between technical systems and business users by translating database structures, reports, and metrics into clear, consistent business definitions.
The ideal candidate enjoys working deeply with SQL/PYTHON, understanding how business metrics are calculated, documenting data definitions, resolving inconsistencies, validating reports, and helping create reliable data structures that can be used by analysts, business users, and AI systems.
This position is heavily focused on SQL/PYTHON, documentation, data quality, warehouse analysis, semantic consistency, and business understanding rather than dashboard design or software engineering.
Responsibilities
  • Analyze SQL/PYTHON queries, views, reports, source systems, and warehouse structures to understand how business metrics are calculated.
  • Trace data lineage from operational systems through data warehouse transformations, reporting layers, and semantic models.
  • Translate technical data logic into clear business definitions.
  • Develop and maintain business glossaries, data dictionaries, metric definitions, and metadata documentation.
  • Validate report outputs against source systems and warehouse data.
  • Support the development and maintenance of Snowflake semantic models.
  • Create and maintain mappings between business terminology and physical database structures.
  • Review and validate AI-generated SQL/PYTHON, analytics, and business insights.
  • Work with stakeholders to standardize business definitions and reporting logic.
  • Support data quality, reconciliation, governance, and AI-readiness initiatives.
  • Help prepare trusted data assets for natural-language querying, AI-assisted reporting, and future analytics initiatives.

Required Qualifications
  • Strong SQL/PYTHON skills.
  • Experience working with relational databases, data warehouses, or cloud data platforms.
  • Ability to understand complex query logic and data transformations.
  • Strong analytical and problem-solving abilities.
  • Excellent written communication and documentation skills.
  • Strong attention to detail.
  • Ability to work effectively with technical and nontechnical stakeholders.

Preferred Qualifications
  • Experience with Snowflake or similar cloud data warehouse platforms.
  • Business intelligence or reporting experience.
  • Experience documenting business rules, metrics, or data definitions.
  • Familiarity with semantic models, governed metrics, or metadata management.
  • Experience with Python for data analysis or validation.
  • Familiarity with AI-assisted analytics tools and workflows.

Ideal Candidate
The ideal candidate enjoys solving data puzzles, untangling complex business logic, identifying why reports disagree, and transforming technical information into clear business definitions. They are patient, precise, intellectually curious, and committed to data quality, consistency, and accuracy.
Benefits
  • Medical, dental, and vision insurance
  • 401(k)
  • Paid time off
  • Professional development opportunities
  • Long-term career growth in analytics, data warehousing, semantic modeling, data governance, and AI-enabled data systems

If you enjoy detailed analytical work and want to help build the foundation for data-driven decision making across a growing educational organization, we encourage you to apply.
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