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How much do business intelligence data warehouse jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for business intelligence data warehouse in the United States is $54.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Business Intelligence Data Warehouse professional, and why are they important?

A Business Intelligence Data Warehouse professional needs strong analytical skills, expertise in data modeling, ETL processes, and a background in computer science or a related field. Proficiency with SQL, BI tools (such as Tableau, Power BI), and data warehouse platforms (like Snowflake or Amazon Redshift), along with certifications in these technologies, is highly valued. Excellent problem-solving, attention to detail, and effective communication skills help professionals collaborate with stakeholders and translate data into actionable insights. These skills ensure the creation of reliable data infrastructures and facilitate strategic decision-making based on accurate, accessible information.

Is business intelligence the same as data warehouse?

Business Intelligence (BI) professionals often work with data warehouses, which are centralized repositories that store large amounts of structured data from various sources. While BI involves analyzing and visualizing data to support decision-making, a data warehouse is a technical infrastructure that enables this analysis by organizing data efficiently. They are related but serve different functions within data management and analytics environments.

What is the role of a data warehouse in business intelligence?

A Business Intelligence Data Warehouse is a centralized repository that stores integrated, historical data from multiple sources, enabling efficient analysis and reporting. It supports decision-making by providing a consistent and comprehensive view of organizational data, often utilizing tools like SQL and ETL processes. Data warehouses are essential for enabling complex queries, trend analysis, and data-driven strategies.

How much do data warehousing specialists make?

Data warehousing specialists typically earn between $70,000 and $120,000 annually, depending on experience, location, and certifications. Professionals with skills in SQL, ETL tools, and data modeling tend to have higher earning potential.

What are the main challenges faced by professionals working in Business Intelligence Data Warehouse roles, and how can they be overcome?

Professionals in Business Intelligence Data Warehouse roles often face challenges such as integrating data from multiple sources, ensuring data quality, and adapting to changing business requirements. These challenges can be addressed by implementing robust ETL (Extract, Transform, Load) processes, maintaining clear documentation, and staying up-to-date with the latest BI tools and technologies. Collaboration with business stakeholders and IT teams is also essential to ensure that solutions meet organizational needs and can scale as data volumes grow.

What is a Business Intelligence Data Warehouse?

A Business Intelligence Data Warehouse is a centralized repository that stores and manages large volumes of data from various sources within an organization. It is designed to support business intelligence activities, such as reporting, data analysis, and decision-making, by providing clean, organized, and historical data. Data warehouses enable users to generate insights, identify trends, and make data-driven decisions by integrating and consolidating information from different business systems. They are optimized for query and analysis rather than transaction processing, ensuring fast and efficient data retrieval for analytics.

Is data warehousing a good career?

A career in data warehousing, such as a Business Intelligence Data Warehouse role, is considered stable and in demand due to the growing need for data analysis and decision-making support. It typically requires skills in SQL, ETL tools, and data modeling, with opportunities for certification and advancement in analytics and data management fields.

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

AspectBusiness Intelligence Data WarehouseData Analyst
Primary RoleDesigning, developing, and managing data warehouses for reporting and analysisAnalyzing data to generate insights and support decision-making
Skills & CertificationsSQL, ETL tools, data modeling, BI tools, certifications like CBIPSQL, Excel, data visualization, statistical analysis
Work EnvironmentData warehouses, BI platforms, enterprise data systemsData sets, reporting tools, dashboards
Industry UsageUsed by organizations to centralize data for reportingUsed by businesses to interpret data and inform decisions

While both roles work with data, Business Intelligence Data Warehouse professionals focus on building and maintaining data storage systems, whereas Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

More about Business Intelligence Data Warehouse jobs
What job categories do people searching Business Intelligence Data Warehouse jobs look for? The top searched job categories for Business Intelligence Data Warehouse jobs are:
Business Intelligence Data Warehouse jobs near you
Infographic showing various Business Intelligence Data Warehouse job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $113,204 per year, or $54.4 per hour.
Data Warehouse/Business Intelligence Architect

Data Warehouse/Business Intelligence Architect

TriOptus LLC

Tallahassee, FL • On-site

Contractor

Re-posted 13 days ago

Job description

Minimum of seven (7) years' experience performing activities directly related to a Data Warehouse implementation, database design and database administration (DBA). Experience includes implementing or maintaining Oracle data warehouse and business intelligence tools such as the following examples:
  • Oracle Analytics Cloud (OAC)
  • Oracle Analytical Server (OAS)
  • Oracle Cloud Infrastructure (OCI)
  • Oracle Business Intelligence (OBI)
  • Oracle Business Intelligence Application (OBIA)
  • Oracle Business Intelligence Enterprise Edition (OBIEE)
  • Oracle Data Integrator (ODI)
  • Oracle Autonomous Data Warehouse (ADW)

Minimum of seven (7) years' experience performing activities directly related to data modeling (logical and semantic) and metadata management
Experience with data warehouse fundamentals such as SQL, OLAP (Online Analytical Processing), star and snowflake schemas, ETL (Extract, Transform, Load) processes, Informatica, Tidal, and Business Intelligence Application Configuration Manager (BIACM).
Responsibilities:
  • Work with Project team members to support all activities related to the Florida PALM Project implementation efforts and Production Support activities.
  • Use and share lessons learned and best practices associated with Data Warehouse and Business Intelligence implementations that may promote efficiency and help to identify and mitigate potential risks.
  • Serve as a Data Warehouse and/or Business Intelligence subject matter expert, providing Solution recommendations and helping to resolve complex challenges.

Assist the State with its responsibilities as described below:
  • Conducting an analysis of the Data Warehouse and underlying data model and related security configurations, to identify and evaluate gaps in meeting reporting need, and make recommendations to address gaps.
  • Conducting a gap analysis to identify where data in PeopleSoft, is not available in the Data Warehouse for reporting.
  • Conducting and/or creating a mapping of legacy data to Florida PALM data to support end-user reporting.
  • Assisting with the data architecture (D&A Architecture) approach.
  • Assisting with data modeling.
  • Assisting with development standards and implementing the data governance model.
  • Assisting with testing and validating the Data Warehouse and Business Intelligence solutions are working correctly, contain the correct data, and are being properly and timely refreshed.
  • Assisting with cutover planning and execution.
  • Assisting with role and data security setup, recommendations, and overall user access management.Provide overall Project support, which includes:
  • Providing updates to Project status reporting;
  • Coordinating with the Project Directors and Architects to develop and update templates for Project use;
  • Facilitating meetings, promoting teamwork, and providing training as requested;
  • Tracking, mitigating, and escalating risks and issues;
  • Maintaining tools for the Project team's use;
  • Researching, collecting, evaluating, and refining the data and tools necessary to meet Project goals.
  • Complete transition services, including facilitating lessons-learned meetings; creating a lessons-learned document related to Data Warehouse and/or Business Intelligence support services; and providing all the documents, software, software licenses, and other Project artifacts to the Project team as it relates to the work performed under the PO.

Required Skills : Business Intelligence,Data Warehouse
Basic Qualification :
Additional Skills : Data Architect,Business Intelligence Developer,Business Intelligence Architect
Background Check : No
Drug Screen : No

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