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Data Warehousing Business Intelligence Jobs (NOW HIRING)

Business Intelligence Support * Provide advanced support for business intelligence and reporting ... Data Warehousing * Power BI * Cognos * API Development * Data Modeling * Snowpipe * Streams & Tasks

Business Intelligence (W2)

Atlanta, GA · On-site

$49 - $63.75/hr

Business Intelligence (BI) SME Location: Alpharetta, GA / Dallas, TX (Onsite) Note: No H1B We are ... Strong understanding of data modeling, ETL development, and data warehousing concepts. Proficiency ...

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

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Responsibilities : • Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); • Support programming/software ...

Data Warehousing - Intermediate

Phoenix, AZ · On-site

$49 - $67/hr

Industry Banking and Financial Job Title Data Warehousing - Intermediate Location: 3202 W Behrend ... Typically has 3 to 5 years of IT work experience in business intelligence tools and systems.

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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 Aug 17, 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?

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.

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.

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.

Is data warehousing business intelligence a high paying job?

Data warehousing and business intelligence roles are generally well-paying, especially for professionals with strong skills in SQL, ETL tools, and data modeling. Salaries vary based on experience, location, and certifications, but these jobs tend to offer competitive compensation within the tech industry.
More about Data Warehousing Business Intelligence jobs
Infographic showing various Data Warehousing Business Intelligence 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 $114,260 per year, or $54.9 per hour.

Data Warehouse/Business Intelligence Architect (Tallahassee, FL)

Cedent

Tallahassee, FL • On-site

Contractor

Re-posted 21 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.

Department: Preferred Vendors This is a contract position

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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008