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Bi Engineer Jobs in Ohio (NOW HIRING)

Overview Bi-Con Engineering is seeking Mechanical Engineers, to support the design and execution of projects for natural gas, hydrocarbon, and industrial facilities. This role is responsible for ...

Bi-Con Engineering is looking for Civil Engineers to assist senior staff with engineering analysis and design tasks in steel structures and concrete foundations. Manage the creation of 3D models and ...

Data Engineer

New Bremen, OH · Hybrid

$118K - $142K/yr

Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI * Perform code review of team members to learn new techniques while providing code ...

Data Engineer

New Bremen, OH · On-site

$118K - $142K/yr

Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI * Perform code review of team members to learn new techniques while providing code ...

Data Engineer

New Bremen, OH · Hybrid

$118K - $142K/yr

Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI * Perform code review of team members to learn new techniques while providing code ...

Data Engineer

New Bremen, OH · On-site

$118K - $142K/yr

Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI * Perform code review of team members to learn new techniques while providing code ...

... DevOps • Excellent communication and presentation skills • Should be able to collaborate with ... in OBIEE, BI, ETL and Data warehouse projects • Should have excellent knowledge in preparing ...

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Work closely with analytics engineers, BI developers, and SMEs to deliver trusted data assets * Translate business requirements into scalable data solutions Required Qualifications * Bachelor ...

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Work closely with analytics engineers, BI developers, and SMEs to deliver trusted data assets * Translate business requirements into scalable data solutions Required Qualifications * Bachelor ...

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

Work closely with analytics engineers, BI developers, and SMEs to deliver trusted data assets * Translate business requirements into scalable data solutions Required Qualifications * Bachelor ...

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 Sep 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 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.

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.

Is bi engineering a good career?

Bioengineering is a growing field that combines biology, engineering, and technology to develop medical devices, diagnostics, and healthcare solutions. It offers diverse job opportunities in research, healthcare, and industry, often requiring knowledge of biology, engineering principles, and relevant certifications. The career can be rewarding for those interested in innovation and improving health outcomes.
Infographic showing various Bi Engineer job openings in Ohio as of September 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $96,736 per year, or $46.5 per hour.

Data & Business Intelligence Senior Associate

Brooklyn, OH • On-site

Keybank
Banking and Credit Intermediation • 10K+ employees

Full-time

Posted 16 days ago


KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 99 frontline employees who took The Breakroom Quiz


Job description

Location:

4910 Tiedeman Road, Brooklyn Ohio
Location:

Mobile - In office 3 days a week.

Position Summary:

The Data & Business Intelligence Senior Associate serves as the critical link between Marketing, Analytics, Data Engineering, and Technology teams. This role blends business acumen, product ownership, and technical expertise to design, deliver, and optimize marketing data products that power customer insights, campaign execution, measurement, personalization, and advanced analytics.

The ideal candidate understands both how marketing data is generated and how it is consumed. They can translate business requirements into scalable technical solutions while ensuring data quality, governance, usability, and business value. This individual acts as a data product leader, partnering across the organization to drive trusted, accessible, and high-performing marketing data assets.

Key Responsibilities:Marketing Data Product Strategy
  • Define and maintain the vision, roadmap, and priorities for marketing data products in partnership with Marketing, Technology and Analytics leadership.
  • Align data initiatives with marketing objectives, customer experience strategies, and business outcomes.
  • Support integration of Consumer, Commercial, Digital, and B2B marketing data components into the shared data platform.
  • Identify opportunities to improve campaign effectiveness, customer targeting, attribution, and measurement.
  • Develop success metrics and measure business value delivered by data products.
Data Engineering & Technical Collaboration
  • Partner with data engineering teams to design and build scalable data pipelines and data models.
  • Translate marketing and analytics requirements into technical specifications and user stories.
  • Participate in architecture reviews and solution design discussions.
  • Support the buildout, expansion, and ongoing maintenance of the enterprise marketing data platform and related data infrastructure
  • Validate source-to-target mappings and data transformation logic.
Dashboard & Reporting Enablement
  • Design and maintain reporting-ready data products that support dashboards, scorecards, and executive reporting.
  • Partner with business stakeholders and BI developers to define reporting requirements, KPIs, and measurement frameworks.
  • Create and maintain semantic layers, reporting views, and curated data marts optimized for analytics consumption.
  • Support development of Tableau, Power BI, Looker, and other reporting solutions.
Data Governance & Quality
  • Establish and maintain data definitions, metadata, lineage, and business rules.
  • Implement data quality standards, monitoring processes, and issue remediation practices.
  • Ensure compliance with privacy, regulatory, and risk management requirements.
  • Support enterprise data governance initiatives and stewardship activities.
  • Standardize business metrics and calculations across dashboards to promote a consistent "single source of truth."
Marketing Analytics Enablement
  • Enable self-service reporting and dashboard development through trusted data products.
  • Support customer segmentation, campaign measurement, attribution, and journey analytics.
  • Partner with Data Science teams to support AI, machine learning, and predictive analytics initiatives.
  • Standardize marketing KPIs and measurement frameworks across channels.
Product Ownership & Stakeholder Management
  • Manage and prioritize product backlogs and enhancement requests.
  • Facilitate collaboration among Marketing, Analytics, Technology, Data Governance, and Operations teams.
  • Communicate roadmap progress, risks, and dependencies to stakeholders.
  • Drive adoption and education of marketing data products across the organization.
Required Qualifications:Education
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, Marketing Analytics, or a related field.
Experience
  • 3+ years of experience in data engineering, analytics engineering, marketing analytics, data product management, or a related discipline.
  • Experience working with both business stakeholders and technical development teams.
  • Experience supporting enterprise-scale data platforms and marketing data ecosystems.
  • Experience translating business requirements into technical solutions.
Technical Skills
  • Advanced SQL skills.
  • Experience with cloud data platforms such as Google Cloud Platform, Azure, AWS, Snowflake, or equivalent.
  • Knowledge of ETL/ELT pipelines, data integration, and data modeling.
  • Working knowledge of Python or similar programming languages.
  • Familiarity with Tableau, Power BI, Looker, or other BI tools.
  • Experience with Agile delivery methodologies and tools such as Jira or Azure DevOps.
Business & Marketing Skills
  • Understanding of customer data, campaign measurement, and marketing attribution.
  • Knowledge of customer segmentation and customer journey analytics.
  • Ability to define business requirements and success metrics.
  • Strong communication and stakeholder management skills.
  • Ability to explain complex technical concepts in business terms.
Preferred Qualifications
  • Experience within financial services or a highly regulated industry.
  • Experience with Adobe Experience Platform, Adobe Analytics, Salesforce, or Customer Data Platforms (CDPs).
  • Exposure to AI/ML data preparation and model enablement.
  • Knowledge of data governance frameworks and metadata management.

This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 10/23/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849