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Business Intelligence Data Warehouse Jobs (NOW HIRING)

COCC

Business Intelligence Data Analyst

Camp Hill, PA · Hybrid

$80K - $109K/yr

Our client is seeking a Business Intelligence Data Analyst to support reporting, analytics, and ... Contribute to the development and support of a Microsoft based data warehouse and analytics ...

New

FB Society

Director of Business Intelligence & Data

Dallas, TX · On-site

$140 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Oversee and integrate the Oracle Hyperion accounting data subset that sits atop the data warehouse ... Business Intelligence & Data. You will play a pivotal role in shaping the future of restaurant ...

Nox Group

BUSINESS INTELLIGENCE ANALYST

Phoenix, AZ · On-site

Responsibilities Data Warehouse & Pipeline Coordination * Collaborate with the Business Intelligence Manager to understand project priorities, data requirements, and delivery expectations, ensuring ...

Alivi

Director of Business Intelligence

Miami, FL · On-site

Data Warehouse & Data Lake Architecture * Develop scalable data platforms capable of integrating ... Business Intelligence, Reporting & Self-Service Analytics * Lead the design, development, and ...

Alivi Health

Director of Business Intelligence

Miami, FL · On-site

$190 - $230/hr

Data Warehouse & Data Lake Architecture * Develop scalable data platforms capable of integrating ... Business Intelligence, Reporting & Self Service Analytics * Lead the design, development, and ...

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

As of Aug 19, 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 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.

What are the key skills and qualifications needed to thrive as a business intelligence data warehouse professional?

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.

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 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.

Is business intelligence a high paying job?

Business Intelligence Data Warehouse roles are generally well-paying, especially for professionals with skills in data modeling, SQL, and tools like Tableau or Power BI. Salaries vary by experience, location, and industry, but these positions tend to offer competitive compensation compared to other IT roles.

What is the role of a business intelligence 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 business intelligence professionals by providing a consistent data foundation for dashboards, queries, and data mining, often using tools like SQL and ETL processes.
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Business Intelligence Data Warehouse jobs near you
Infographic showing various Business Intelligence Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $113,204 per year, or $54.4 per hour.

Business Intelligence/Data Warehouse Architect

Futurewave Systems

Atlanta, GA • Remote

Full-time

Re-posted 11 days ago

Job description

Company Description

Founded in 2006, Futurewave Systems is a minority owned boutique, STAFFING & PROFESSIONAL SERVICES PROVIDER headquartered in Atlanta, GA. We are a GLOBAL NETWORK of proven industry professionals demonstrating the fastest fulfillment rate of high tech professionals for Fortune 500 Companies. 

Job Description

Business Intelligence/Data Warehouse Architect position will contribute to the company's success by performing a key role in designing, building and supporting our enterprise Business Intelligence architecture including Data Warehouse, Data Mart and Reporting Solutions which enable key business users to make solid business decisions.

Responsibilities:

  1. Define Business Intelligence Strategy based on current business and information technology realties.  Define, design, and implement Business Intelligence (BI) strategies for operational, ad-hoc, and other BI related solutions.
  2. Work directly with IT and business users to facilitate, define and document data requirements as the foundation for data base design, data extraction, analysis and cleansing.
  3. Assist in the definition, documentation and development of mapping rules for movement of data from desperate data sources and into the various components and subject areas of the BI environment.
  4. Create data models including robust data definitions, entity-relationship-attribute models, as well as relational and/or dimensional models.
  5. Work closely with DBAs to transition logical models to physical implementation of data structures.
  6. Design and implement Business Intelligence, information quality & information management governance.
  7. Provide hands-on data modeling (relational and dimensional) for Data Warehouse/Data Marts and overall BI environment.
  8. Provide best practices and guidance regarding use of ETL, data modeling (relational and dimensional), and reporting deliverables.
  9. A good understanding of the design and development of complex business reports.
  10. Ability to understand and support legacy solutions and reports while migrating to a long term strategy.
  11. Work in a small team environment with Project Managers, Database Administrators, Systems Engineers, Business Analysts, and internal business users.
  12. Design and build complex relational data structures.
  13. Work with technical and business users to understand requirements then identify, and design multiple solution options as well as determine and recommend a right-sized approach.
  14. Develop strategies for data acquisition, archive recovery, and enterprise level database implementation.
  15. Develop and build comprehensive data validation and error processes as a component within the "End to End" BI solution architecture.
Qualifications
  1. Minimum 5 years of experience of ETL development with Informatica PowerCenter
  2. Degree in Information Systems, Computer Science, or equivalent education and/or experience.
  3. Minimum 8 years of experience in delivering Business Intelligence solutions.
  4. Minimum 8 years of experience with Relational and Dimensional Modeling.
  5. Must have UNIX OS knowledge including intermediate shell scripting experience.
  6. Minimum 5 years of experience with CA Erwin. (Model Manager or CA MM preferred in addition)
  7. Minimum 4 years of experience with Oracle.
  8. Significant experience with design, development, and maintenance of enterprise level data systems such as Oracle and SQL Server.
  9. In-depth expertise with data security, storage solutions, database virtualization and replication.
  10. Expert level SQL skills.
  11. Strong understanding of reporting tools such as Business Objects suite of products (desktop client, WebIntelligence, Designer, Supervisor, Broadcast Agent, InfoView).
  12. Understanding of Business Objects Enterprise XI R3 architecture.  Experience building BO Universes a plus.
  13. Working knowledge of relational database design, logical data modeling, data warehousing, and relational database management systems preferably Oracle 9i/10G/11x
  14. Knowledge of Business Intelligence and Data Warehousing concepts and proven experience delivering both.
  15. Expert knowledge of ETL concepts, development, and experience.
  16. Proven analytical skills and problem solving ability.
  17. Excellent written and oral communication skills.
  18. Demonstrated time management and prioritization skills.
  19. Strong interpersonal skills.  Ability to influence without authority.  Good liaison skills and negotiation capabilities.
  20. Ability to adapt to a fast-paced, ever-changing environment 

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