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Business Intelligence Engineer Jobs in Ohio (NOW HIRING)

BI Software Engineer I

Beachwood, OH ยท On-site

$49 - $63.75/hr

BI Software Engineer I Locations: Beachwood OH, Atlanta GA, Dearborn MI, Reading PA, or Irving TX ... critical Business Intelligence applications and help deliver the next generation of innovative ...

BI Software Engineer I

Beachwood, OH ยท On-site

$49 - $63.75/hr

BI Software Engineer I Locations: Beachwood OH, Atlanta GA, Dearborn MI, Reading PA, or Irving TX ... critical Business Intelligence applications and help deliver the next generation of innovative ...

BI Software Engineer I

Beachwood, OH

$49 - $63.75/hr

BI Software Engineer I Locations: Beachwood OH, Atlanta GA, Dearborn MI, Reading PA, or Irving TX ... critical Business Intelligence applications and help deliver the next generation of innovative ...

Showing results 21-40

Business Intelligence Engineer information

See Ohio salary details

$27

$54

$75

How much do business intelligence engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for business intelligence engineer in Ohio is $54.24, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $60.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a business intelligence engineer, and why are they important?

To thrive as a Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and a background in computer science or a related field. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as certifications in these platforms, are highly valuable. Excellent problem-solving abilities, effective communication, and attention to detail help you translate complex data into actionable business insights. These skills ensure accurate data analysis and reporting, empowering organizations to make data-driven decisions.

What is a business intelligence engineer?

Business Intelligence Engineers are professionals who design, develop, and maintain systems and processes that help organizations collect, analyze, and interpret data. They create dashboards, reports, and data models that enable business leaders to make informed decisions. Their work typically involves data warehousing, ETL (extract, transform, load) processes, and the use of tools such as SQL, Power BI, or Tableau. BI Engineers bridge the gap between raw data and actionable business insights, playing a crucial role in data-driven organizations.

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

AspectBusiness Intelligence EngineerData Analyst
CredentialsBachelor's in CS, IT, or related field; SQL, BI toolsBachelor's in Statistics, Math, or related field; SQL, Excel
Work EnvironmentDevelops data pipelines, dashboards, reports; collaborates with IT and business teamsAnalyzes data, creates reports, visualizations; works closely with business units
Industry UsageUsed across tech, finance, healthcare for data infrastructureCommon in marketing, finance, retail for insights and reporting

Business Intelligence Engineers focus on building data infrastructure, pipelines, and dashboards to enable data-driven decisions. Data Analysts interpret data, generate reports, and provide insights. Both roles require SQL and data visualization skills but differ in scope and responsibilities.

How does a business intelligence engineer typically collaborate with data analysts and business stakeholders?

Business Intelligence Engineers work closely with data analysts to design and optimize data models, build robust data pipelines, and ensure accurate reporting. They also engage with business stakeholders to understand their data needs, translate requirements into technical solutions, and provide actionable insights that support decision-making. Regular collaboration involves meetings to review project progress, clarify business objectives, and adjust deliverables based on feedback, fostering a dynamic and cross-functional team environment.
What cities in Ohio are hiring for Business Intelligence Engineer jobs? Cities in Ohio with the most Business Intelligence Engineer job openings:
Infographic showing various Business Intelligence Engineer job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 7% Hybrid, and 36% Remote job distribution, with an average salary of $112,809 per year, or $54.2 per hour.

Business Intelligence Competency Center (BICC) Quality Analyst

hillman

Cincinnati, OH โ€ข On-site

Full-time

Posted 13 days ago


Job description

Job Summary

The Business Intelligence Competency Center (BICC) Quality Analyst ensures the integrity, consistency, and usability of enterprise reporting solutions across the organization. This role provides technical and governance oversight to guarantee that all BICC deliverables adhere to established standards, best practices, and performance expectations. It requires advanced proficiency in Business Intelligence tools, DAX coding, SQL, and data relationship modeling, with the ability to guide development efforts and elevate reporting capabilities to an enterprise level. The Business Intelligence Competency Center (BICC) Quality Analystย manages the intake process for reporting requests, ensures developers maintain clear communication with stakeholders, and develops and maintains the enterprise reporting catalog with accurate metadata and version control. Acting as a key enabler of the BICCโ€™s BI Governance pillar, this role drives adoption of reporting tools, promotes self-service practices, and ensures scalable, secure, and high-performing reporting solutions across all business functions.

Essential Job Functions*

  • Manage the centralized intake process for reporting requests, ensuring accurate triage, prioritization, and alignment with business objectives.
  • Provide advanced technical oversight and guidance to BI Developers, ensuring adherence to development standards, best practices, and optimized performance.
  • Review and validate complex reporting deliverables for accuracy, consistency, and compliance with established business logic and governance standards.
  • Maintain and govern the enterprise reporting catalog, including metadata accuracy, version control, and lifecycle management of reporting assets.
  • Enforce data security and compliance policies across reporting environments, conducting audits and coordinating remediation with IT and Data Governance.
  • Monitor BI environments for system health, performance issues, and subscription accuracy, troubleshooting failures and mitigating risks proactively.
  • Engage with business units to drive reporting adoption, deliver advanced training, and promote self-service practices while providing feedback for continuous improvement.
  • Other duties as assigned.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.

Employees are expected and encouraged to participate in safety and health program activities including immediately reporting hazards, immediately reporting unsafe work practices and incidents to supervisors, wearing required personal protective equipment, and participating in and supporting safety committee activities.

Education & Experience

  • Bachelorโ€™s degree in BI, Information Systems, Computer Science, Analytics, or a related field.
  • 3โ€“5 years of experience in Business Intelligence or a related discipline, with strong technical expertise in BI tools and reporting development preferred.
  • Certification in Microsoft Products, primarily Power BI, Microsoft Fabric, and Oracle, are desired.

Competencies โ€“ Knowledge, Skills and Abilities

  • Advanced BI Development Expertise: Strong understanding of reporting development processes, data modeling concepts, and BI tools such as Power BI, BI Publisher, and OTBI.
  • Data Governance & Compliance: Familiarity with metadata management, role-based security, and adherence to data governance standards.
  • Quality Assurance & Standards: Ability to enforce development standards, conduct peer reviews, and validate complex reporting logic for accuracy and consistency.
  • Technical Oversight: Skilled in providing guidance to BI Developers on best practices, performance optimization, and troubleshooting through Advanced DAX, SQL, Modeling, and
  • Analytical & Problem-Solving Skills: Capable of diagnosing reporting failures, monitoring system health, and mitigating risks proactively.
  • Communication & Stakeholder Engagement: Strong ability to collaborate with business units, facilitate intake meetings, and deliver training to promote reporting adoption.
  • Organizational & Documentation Skills: Detail-oriented with experience maintaining reporting catalogs, version control, and lifecycle documentation.

Operational Equipment

  • Computer, Keyboard, Mouse, Monitor, Internet Connection