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Data Warehousing Business Intelligence Jobs (NOW HIRING)

University of Rochester

Sr Data Warehouse Developer

$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 ...

Medpace

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 ...

Snowrelic Inc

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 ...

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 ...

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

As of Jul 28, 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
What job categories do people searching Data Warehousing Business Intelligence jobs look for? The top searched job categories for Data Warehousing Business Intelligence jobs are:
Data Warehousing Business Intelligence jobs near you
Infographic showing various Data Warehousing Business Intelligence job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $114,260 per year, or $54.9 per hour.
Sr Data Warehouse Developer

Sr Data Warehouse Developer

University of Rochester

Remote

$86K - $130K/yr

Full-time

Posted yesterday

University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

123rd of 612 rated colleges and universities

Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address):
30 Corporate Woods, Brighton, New York, United States of America, 14623
Opening:
Worker Subtype:
Regular
Time Type:
Full time
Scheduled Weekly Hours:
40
Department:
900081 ISD Analytics
Work Shift:
UR - Day (United States of America)
Range:
UR URG 114
Compensation Range:
$86,900.00 - $130,300.00
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
The Senior Data Warehouse Developer's responsibilities include architecting, designing, developing, implementing and supporting various components for the enterprise data warehouse and associated data sources. The Sr Developer works independently and provides support for reporting projects, as well as process and architectural recommendations. Responsibilities include mentoring staff, demonstrating best practices, planning for business continuity and sustainability and working on projects that support Business Intelligence and Data Warehousing functions as assigned.
ESSENTIAL FUNCTIONS
  • Works with the user community and reporting team to understand business data and data transformation requirements. Converts those requirements to functional/technical specifications for database and integration design. Manages requests and/or components of larger projects with appropriate documentation and status reports
  • Architects data integration and transformation processes across on premise and cloud data sources. Provides leadership and is a subject matter expert depending on area of focus.
  • Designs and develops data integration and transformation processes across on-premises and cloud data sources using enterprise tools such as Informatica, Denodo, SQL Server, SSIS, Oracle Data Integrator, and Boomi AtomSphere, selected based on environment and requirements.
  • Develops data models and database designs that leverage their knowledge of data warehouse modeling best practices.
  • Collaborates with other team members using scrum processes or other project management disciplines depending on area of focus. Follows best practices for change and code management. Provides supporting technical documentation that is written, organized and maintained.
  • Participates in ongoing stabilization, support and maintenance. Provides on call support as needed for business continuity and operations. Attends webinars, reads case studies and white papers, and participates in opportunities to further refine skills and stay apprised on functional area topics. Maintains current knowledge of technology, equipment, and/or systems and advises on newer technologies.
  • Other duties as assigned

MINIMUM EDUCATION & EXPERIENCE
  • Bachelor's degree in a related discipline such as Computer Science, Business, Mathematics, Statistics, Science or Engineering required
  • 5 years of related experience required
  • Equivalent combination of education and experience required.
  • Multiple project experience with Data Warehousing ETL technologies and overall knowledge of Data Warehousing/Business Intelligence lifecycles required.
  • Experience with dimensional data models required
  • Experience with OMOP data model preferred
  • Master's degree preferred
  • Experience with integrating data warehouses with business intelligence metadata tools preferred
  • Experience with service oriented architecture and enterprise information integration preferred
  • Experience with the Denodo Virtualization Platform preferred
  • Experience with Informatica IDMC, MDM preferred
  • Experience with MS SQL Server Tools preferred

KNOWLEDGE, SKILLS AND ABILITIES
  • Strong Analytical and problem solving abilities required
  • Ability to actively participate and collaborate on a team required
  • Excellent written communication skills. Ability to translate functional business requirements into documented system requirements and designs required
  • Understanding of data warehouse and agile software development processes required
  • In depth understanding and development experience using SQL, Pl/SQL and UNIX scripting languages with SQL based databases (Oracle, DB2 or SQL Server) required
  • Proficiency in developing data transformation packages/stored procedures required

LICENSES AND CERTIFICATIONS
  • Clarity Caboodle Developer Certification within the first year of employment preferred
  • Certification In Informatica IDMC within the first year of employment preferred

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

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