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Bi Engineer Jobs in Ohio (NOW HIRING)

Data Engineer III

Cincinnati, OH · On-site

$50 - $54/hr

Collaborate with Data Architects, BI Developers, and business stakeholders * Support disaster recovery and data resiliency initiatives * Participate in Agile ceremonies and sprint planning * Document ...

The SAP Developer - Level 3 is responsible for: working on major projects that may span a broad ... Minimum 5 years of experience in BI/BW application development and implementation for SAP ...

New

Hands-on experience with Tableau Desktop, Tableau Prep, and other BI platforms such as Microsoft ... Python programming skills for automation, data transformations, or advanced analytics. • ...

Lead Data Engineer

Columbus, OH

$110K - $132K/yr

Develop and optimize Power BI dashboards, reports, and semantic models to support business ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Showing results 41-60

Bi Engineer information

See Ohio salary details

$37.1K

$96.7K

$130.7K

How much do bi engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for bi engineer in Ohio is $96,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $110,800.00 per year, depending on experience, location, and employer.

What is a BI engineer?

BI Engineers, or Business Intelligence Engineers, are professionals who design, develop, and maintain data solutions to help organizations make informed business decisions. They build and manage databases, data pipelines, and reporting systems that transform raw data into actionable insights. BI Engineers often work with tools such as SQL, ETL (Extract, Transform, Load) frameworks, and visualization platforms like Tableau or Power BI. Their work enables companies to analyze trends, identify opportunities, and improve overall performance.

What is the difference between Bi Engineer vs Data Analyst?

AspectBi EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentData warehouses, ETL pipelines, cloud platformsData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech companies, finance, healthcare, retailBusiness, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding technical data infrastructure rolesInterpreting data for business insights

Bi Engineers focus on building and maintaining data pipelines, warehouses, and infrastructure, requiring technical skills in data engineering. Data Analysts interpret data to generate reports and insights, emphasizing analytical skills. While both roles work with data, Bi Engineers handle the technical backbone, whereas Data Analysts focus on data interpretation for decision-making.

What skills and qualifications are needed to thrive as a BI engineer?

To thrive as a BI Engineer, you need strong analytical skills, proficiency in data modeling, and a solid background in computer science or information systems. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as expertise in SQL, ETL processes, and data warehousing technologies, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you convey complex insights to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence that drives informed decision-making.

How does a BI engineer typically collaborate with data analysts and business stakeholders to deliver actionable insights?

A BI Engineer often works closely with data analysts to design data models, build efficient ETL pipelines, and ensure the accuracy and accessibility of data within business intelligence tools. They partner with business stakeholders to gather requirements, translate business needs into technical solutions, and present data in a way that supports decision-making. Effective communication and a collaborative mindset are crucial, as BI Engineers frequently participate in meetings to align on project goals, clarify data definitions, and iterate on dashboards or reports based on feedback.
Infographic showing various Bi Engineer job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $96,736 per year, or $46.5 per hour.

Business Intelligence Competency Center (BICC) Quality Analyst

hillman

Cincinnati, OH • On-site

Full-time

Posted 17 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 Analyst 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 BICC’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

  • Bachelor’s degree in BI, Information Systems, Computer Science, Analytics, or a related field.
  • 3–5 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 – 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