ZipRecruiter

Log In

1

Business Intelligence Data Warehouse Jobs (NOW HIRING)

React Health

Business Intelligence Analyst

Dublin, OH · On-site

$75K - $95K/yr

Experience building or maintaining ETL/ELT pipelines and familiarity with data warehouse concepts ... business intelligence. * Participate in knowledge-sharing sessions with stakeholders to enhance ...

previous page

Showing results 41-60

All JobsBusiness Intelligence Data Warehouse Jobs

Business Intelligence Data Warehouse information

See salary details

$13

$54

$72

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

As of Aug 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 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 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 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.

More about Business Intelligence Data Warehouse jobs

What job categories do people searching Business Intelligence Data Warehouse jobs look for?

The top searched job categories for Business Intelligence Data Warehouse jobs are:

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 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $113,204 per year, or $54.4 per hour.

Senior Business Intelligence Analyst

Hire Point Recruiting

Somerville, MA • On-site

$95K - $125K/yr

Full-time

Posted 11 days ago

Job description

Senior Business Intelligence Analyst

Position Summary

The Senior Business Intelligence Analyst will be responsible for transforming complex business data into actionable insights that support strategic and operational decision-making. This role will partner with leaders across Finance, Operations, Sales, and other business functions to develop dashboards, analyze key performance indicators, identify trends, and improve visibility into company performance.

The ideal candidate brings strong analytical and technical skills, experience working with large datasets, and the ability to communicate findings clearly to both technical and nontechnical stakeholders.


Key Responsibilities


Business Intelligence & Reporting

  • Design, develop, and maintain dashboards, reports, and data visualizations.
  • Translate business requirements into scalable reporting and analytical solutions.
  • Provide leadership with timely and accurate insights into financial and operational performance.
  • Create recurring and ad hoc reports for business leaders and executive management.
  • Ensure reports are clear, consistent, and aligned with organizational priorities.


KPI Analysis & Performance Management

  • Develop and monitor key performance indicators across multiple lines of business.
  • Analyze trends, variances, and performance drivers against budgets, forecasts, and established targets.
  • Identify risks, opportunities, and areas requiring additional management attention.
  • Partner with business leaders to establish consistent KPI definitions and reporting methodologies.
  • Provide recommendations to improve operational efficiency, revenue, profitability, and overall performance.


Data Analysis & Insights

  • Analyze large and complex datasets to uncover trends, patterns, and business opportunities.
  • Perform root-cause analysis to explain changes in financial and operational results.
  • Develop predictive analyses, scenario models, and performance forecasts as needed.
  • Translate analytical findings into clear, actionable business recommendations.
  • Support strategic initiatives, business cases, and investment decisions with data-driven analysis.


Data Management & Governance

  • Validate data accuracy, completeness, and consistency across reporting systems.
  • Partner with Technology and business teams to resolve data-quality issues.
  • Develop and maintain reporting documentation, data definitions, and process procedures.
  • Support data-governance initiatives and establish reporting standards.
  • Ensure appropriate controls are maintained around sensitive and confidential information.


Systems & Process Improvement

  • Identify opportunities to automate manual reporting and analytical processes.
  • Improve the efficiency, scalability, and accuracy of existing dashboards and reports.
  • Partner with Technology teams on data warehouse, ERP, and business intelligence enhancements.
  • Support system implementations, integrations, testing, and user acceptance.
  • Evaluate new tools and technologies that can improve business intelligence capabilities.


Business Partnership

  • Serve as a strategic analytical partner to Finance, Operations, Sales, and executive leadership.
  • Gather business requirements and recommend appropriate reporting solutions.
  • Present findings and recommendations to senior leaders and key stakeholders.
  • Train users on dashboards, reporting tools, and self-service analytics.
  • Manage multiple analytical projects and competing business priorities.


Qualifications

  • Bachelor’s degree in Business Analytics, Finance, Accounting, Information Systems, Computer Science, or a related field.
  • 5–8+ years of business intelligence, data analytics, financial analysis, or related experience.
  • Advanced experience with Power BI, Tableau, Looker, or a similar business intelligence platform.
  • Strong SQL skills and experience working with relational databases.
  • Advanced Microsoft Excel skills.
  • Experience analyzing financial and operational KPIs across multiple business units.
  • Familiarity with ERP, CRM, data warehouse, and cloud-based reporting environments.
  • Experience with Python, R, Alteryx, or other analytics tools preferred.
  • Experience developing executive dashboards and presenting insights to senior leadership



Key Skills & Competencies

  • Business intelligence and data visualization.
  • KPI development and performance analysis.
  • Advanced analytical and problem-solving skills.
  • Strong SQL and data-management capabilities.
  • Financial and operational business acumen.
  • Clear communication and presentation skills.
  • Strong attention to detail and data accuracy.
  • Ability to translate business needs into technical solutions.
  • Ability to manage multiple projects in a fast-paced environment.


$95,000-$125,000 base