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Business Intelligence Data Warehouse Jobs (NOW HIRING)

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We Place People is recruiting for a Business Intelligence Data Modeler Engineer II for a large ... Strong understanding of data warehouse architecture and concepts such as facts, dimensions, star ...

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We Place People is recruiting for a Business Intelligence Data Modeler Engineer II for a large ... Strong understanding of data warehouse architecture and concepts such as facts, dimensions, star ...

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Business Intelligence Data Warehouse information

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

As of Sep 14, 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.
More about Business Intelligence Data Warehouse jobs
Infographic showing various Business Intelligence Data Warehouse job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,204 per year, or $54.4 per hour.

Business Intelligence Data Modeler Engineer

Chicago, IL • On-site

$116K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

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Job description


Chicago, IL | Hybrid – 3 Days Onsite | Direct Hire


Please note: This is a hybrid position requiring three days per week onsite in Chicago. Candidates must currently reside in the Chicagoland area and must be a U.S. Citizen or Green Card holder to apply!!!


We Place People is recruiting for a Business Intelligence Data Modeler Engineer II for a large, highly respected organization in Chicago. This position will play an important role in building the data foundation behind enterprise reporting, analytics, and business intelligence.


The ideal candidate brings strong hands-on data modeling experience and can take complex business information and turn it into organized, scalable data structures. You’ll partner with both business and technology teams, working with data across areas such as HR, Finance, Risk Management, and other corporate functions.



The Opportunity

This is a hands-on role focused on designing and improving the data models that power enterprise analytics and reporting. You’ll work across multiple data sources and business functions, helping ensure information is structured consistently, performs well, and can be trusted by the people using it to make business decisions.


The position offers the opportunity to work closely with analysts, data engineers, application teams, and business stakeholders while contributing to broader data architecture, governance, and analytics initiatives.


Areas of Responsibility

  • Design logical and physical data models supporting enterprise BI, analytics, and reporting.
  • Build dimensional models, including fact and dimension structures and star schemas.
  • Translate business requirements into practical and scalable data designs.
  • Analyze data from multiple enterprise applications and identify relationships, dependencies, and integration requirements.
  • Work with business stakeholders to establish consistent definitions for key measures, dimensions, hierarchies, and reporting concepts.
  • Partner with data engineering and BI teams throughout design, development, testing, and implementation.
  • Evaluate existing data structures and recommend improvements to performance, usability, consistency, and scalability.
  • Assist with data validation, reconciliation, troubleshooting, and quality initiatives.
  • Maintain documentation covering data models, definitions, lineage, relationships, and other technical specifications.
  • Incorporate appropriate data governance, privacy, security, and protection practices into data solutions.
  • Participate in Agile development activities while balancing multiple projects and priorities.


Experience That Will Be Valuable

  • Professional experience in data modeling, business intelligence, analytics engineering, data warehousing, or a related area.
  • Hands-on experience creating relational and dimensional data models.
  • Strong understanding of data warehouse architecture and concepts such as facts, dimensions, star schemas, relationships, and hierarchies.
  • Strong SQL skills and experience analyzing complex datasets.
  • Experience working with enterprise BI, database, analytics, or data warehouse platforms.
  • Ability to turn business requirements into clearly defined technical data solutions.
  • Knowledge of data governance, metadata, data quality, security, privacy, and data protection practices.
  • Experience working with business data in areas such as Human Resources, Finance, or Risk Management.
  • Strong analytical, organizational, and problem-solving capabilities.
  • Ability to communicate effectively with both technical and business audiences.
  • Experience working within Agile project environments.
  • Professional services experience is a plus.


Location & Eligibility

This is a direct-hire opportunity based in Chicago with a hybrid schedule of three days in the office and two days remote.


Applicants must:

  • Currently live in the Chicagoland area
  • Be able to work onsite in Chicago three days each week
  • Be a U.S. Citizen or Green Card holder


We Place People is looking for someone who combines strong technical data modeling skills with the ability to understand how the business actually uses its data. If that sounds like you, we’d welcome the opportunity to connect.

Company Description

We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!