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Data Warehousing Business Intelligence Jobs (NOW HIRING)

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

The ideal candidate will have extensive experience in data warehousing, business intelligence, data governance, and enterprise architecture, with strong expertise in SQL and modern analytics ...

New

Hardcore data analyst with broad experience desired in data warehousing, business intelligence (BI), data governance & data integration. * Data wizard with hands on data analysis, profiling, and ...

Documents process/data flows, metadata and data level design specification for the data warehousing/business intelligence project. Holds business domain, data and technology knowledge to bridge the ...

$86K - $130K/yr

Multiple project experience with Data Warehousing ETL technologies and overall knowledge of Data Warehousing/Business Intelligence lifecycles required. * Experience with dimensional data models ...

ETL Developer

Mountain View, CA · On-site

$60 - $65/hr

Pay Range: $60/hr - $65/hr Requirement/Must Have: * 1+ years of SQL & Data Warehousing / Business Intelligence skills. * 1+ years of ETL/data pipeline development experience. * Experience in ...

Multiple project experience with Data Warehousing ETL technologies and overall knowledge of Data Warehousing/Business Intelligence lifecycles required. * Experience with dimensional data models ...

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Data Warehousing Business Intelligence information

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$29.5K

$114.3K

$167.5K

How much do data warehousing business intelligence jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data warehousing business intelligence in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What is Data Warehousing Business Intelligence?

Data Warehousing Business Intelligence (BI) refers to the processes and technologies used to collect, store, manage, and analyze large volumes of data to support business decision-making. A data warehouse is a centralized repository that consolidates data from multiple sources, making it easier to perform complex queries and generate reports. Business Intelligence tools allow organizations to visualize and interpret this data, uncover trends, and gain valuable insights. Together, these systems help businesses make more informed decisions, improve efficiency, and gain a competitive edge.

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

To thrive as a Data Warehousing Business Intelligence professional, you need strong analytical skills, expertise in data modeling, and a solid understanding of database management, often supported by a degree in computer science or a related field. Proficiency with ETL tools (like Informatica or Talend), SQL, BI platforms (such as Tableau or Power BI), and relevant certifications are typically required. Strong problem-solving, communication, and collaboration skills help you translate business needs into actionable data insights. These skills are crucial for delivering reliable, insightful data solutions that drive decision-making and business success.

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

AspectData Warehousing Business IntelligenceData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related fields; certifications like CBIP or Microsoft BIBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentData warehouses, BI tools, enterprise systemsData sets, spreadsheets, visualization tools
Employer & Industry UsageOrganizations implementing data infrastructure and reportingBusinesses analyzing data for insights and decision-making

While Data Warehousing Business Intelligence focuses on building data systems and creating dashboards, Data Analysts interpret data to provide actionable insights. Both roles require analytical skills but differ in scope and technical focus.

How does a Data Warehousing Business Intelligence professional typically collaborate with other departments within an organization?

Data Warehousing Business Intelligence professionals frequently work cross-functionally with teams such as IT, data engineering, business analysts, and management. They act as a bridge between technical staff and business stakeholders, translating business requirements into technical solutions and ensuring data is accessible and actionable. This collaboration often involves regular meetings to understand reporting needs, delivering insights, and troubleshooting data issues, making strong communication and teamwork skills essential for success in the role.
More about Data Warehousing Business Intelligence jobs
Infographic showing various Data Warehousing Business Intelligence 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 $114,260 per year, or $54.9 per hour.
Business Intelligence Architect/Analyst

Business Intelligence Architect/Analyst

SV Tech Systems Inc

Madison, WI

Contractor

Re-posted 8 days ago


Job description

Company Description


SV Tech Systems prides itself in being the leading provider of recruitment and staffing services for a wide range of industries. We provide staffing services to firms throughout the United States and Canada. We attract the best pool of talent with the aim of nurturing sound work ethics and solid values amongst a highly motivated and diverse workforce.


Job Description
Title           : Business Intelligence Architect/Analyst
Location   : Madison, WI
Duration   :  12-18 Months Contract
CRITICAL QUALIFICATIONS
This assignment minimally requires:

    An in-depth ability and knowledge of Data Warehousing and Reporting.
    An in-depth ability and knowledge of Data Warehouse Design and Development, including Data Modeling.
    An in-depth ability and knowledge of
(1) Gather requirements,
(2) Assess end user needs,
(3) Evaluate and recommend solution options and
(4) Manage an implementation project.
    Willing to commit to the project timeline of about 12-18 months.
    Must be able to commit to work onsite at Madison, WI for a 40-hour work period.

Basic Qualifications

    Preferences for strong solution development (reporting) knowledge using Workday, Cognos and PeopleSoft (in order).
    Strong knowledge of Data Warehousing, Business Intelligence and Data Reporting
    Strong Architectural knowledge in Data Management and Data Warehouse/Business Intelligence design and development.
    Strong requirements development (facilitation) and design skills in business intelligence solutions.
    Strong Project Management abilities.


Qualifications
Education and Qualifications:
    4 - 7 years of skills as a Data Warehouse/Business Intelligence Architect/Designer/Developer.
    3 - 5 years of skills as a Project Manager.
    3 - 5 years of skills as a data, application and/or integration architect.
    2+ years of skills in application development/programming in Java, .Net or equivalent.
    2+ years analytical problem solving, business analyst, requirements development experience.


Additional Information

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