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Business Intelligence Engineer Jobs in Ohio (NOW HIRING)

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH

$111K - $133K/yr

Translate business requirements into technical designs and code implementations, ensuring the ... Intelligence, or a related field * Proven experience as an AI engineer, machine learning engineer ...

CompuGroup Medical

$79.65 - $108.10/hr

## Data Engineer BI (m/w/d)Applylocations: Waldemstime type: Full timeposted on: Posted 19 Days Agojob ... Hast Du das Talent, aus Business-Anforderungen nutzerfreundliche BI-Lösungen zu machen und dabei ...

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How much do business intelligence engineer jobs pay per hour?

As of Sep 4, 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 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 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.

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 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 much does a business intelligence engineer make?

The average salary for a business intelligence engineer in the United States ranges from $80,000 to $130,000 per year, depending on experience, location, and industry. Professionals with skills in data analysis, SQL, and tools like Tableau or Power BI tend to earn higher salaries, especially with advanced certifications or experience in large organizations.

What do business intelligence engineers do?

Business intelligence engineers analyze data to help organizations make informed decisions by designing and maintaining data pipelines, dashboards, and reports. They often use tools like SQL, data visualization software, and programming languages such as Python or R to extract, process, and interpret large datasets.
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Business Intelligence Engineer jobs near you
Infographic showing various Business Intelligence Engineer job openings in Ohio as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $112,809 per year, or $54.2 per hour.

Senior Business Intelligence Developer

Vantage Point Logistics, Inc.

Westerville, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

Who We Are
VPL is a healthcare logistics technology company that powers the movement of medications and medical supplies across the healthcare ecosystem. Through a centralized platform for shipping, tracking, and analytics, VPL helps pharmacies and supply chain teams improve operational efficiency, gain visibility into performance, and make smarter logistics decisions.

WHAT WE'RE LOOKING FOR

VPL is looking for an experienced PowerBI developer/admin to own our PBI implementation and dashboards. This role includes the design, development and maintenance of the business intelligence layer in our broader analytics tech stack. The dashboards built in PBI are customer-facing and provide key information to our health care customers; information that leads to better outcomes for patients.

As a member of the Data & Analytics team you'll be a part of the group that owns VPL's data -from acquiring it at the source to ingestion into our data warehouse, to its usage in reporting, dashboards and predictive modeling. VPL is growing quickly in this space because we're using data to drive both our products, and therefore our business, forward. This team and this role are key to that effort.

WHAT YOU'LL DO HERE

  • Administration of PowerBI environment

  • Maintain and update the architecture and implementation standards of our BI layer

  • Build and manage data extracts between EDW and Fabric.

  • Partner with the product software developers to embed reports into customer-facing applications

  • Research and resolve data issues raised by customers and internal users

  • Own resolution for PBI system issues by working to identify root causes and, when appropriate, implementing resolution

REPORT DEVELOPMENT

  • Along with Product Management team, review product briefs and refine requirements based on these documents.

  • Working backwards from PowerBI, identify any gaps in data and determine whether resolution should occur within PBI or in the database layer

  • Ensure consistent design patterns and user experience across dashboards

  • Create visualizations as per design and suggest alternative options where appropriate

OTHER DUTIES

  • Cross train among the team to grow our broader capabilities

  • Learn upstream data engineering processes and best practices

SKILLS YOU BRING:

  • 5 years of PowerBI admin and/or report development, including experience editing DAX queries for variable creation

  • 3 years experience using Microsoft Fabric to extract from data warehouses

  • 3 years experience writing and reading SQL against dimensional data models

  • Familiarity writing and reading SQL queries across multiple tables

  • Experience modifying database models to support reporting needs

  • Ability to communicate between business users and technical teams

NICE TO HAVE SKILLS:

  • Experience querying directly from data warehouses like Snowflake or SQL Server

  • Knowledge of database modeling methods (dimensional vs normalized)

  • Prior work in an agile delivery environment

BENEFITS & PERKS

  • Time Off: Unlimited Time Off (UTO) policy for full time employees.

  • Holidays: 10 company-paid holidays and 3 floating holidays each full calendar year.

  • Free in office Snacks and Drinks.

  • Health Coverage: Medical, prescription drug, dental, and vision plans with multiple options to fit individual and family needs.

  • Wellness Support: Medical plan–aligned wellness programs, plus a $500 annual Wellness Reimbursement to support your overall health.

  • Employee Assistance Program (EAP): Confidential support and resources for mental health, financial guidance, and life challenges.

  • Retirement Savings: 401(k) plan with a 50% employer match up to 6%, fully vested on day one.

  • Life Insurance: Company-paid life insurance is provided, with optional voluntary coverage available for employees and eligible dependents.

  • Additional Voluntary Benefits: Short- and long-term disability, accident, hospital indemnity, critical illness, legal insurance, identity theft, and pet insurance.

  • Family Support: Paid Parental Leave program.