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Business Intelligence Engineer Jobs in Kentucky (NOW HIRING)

$95 - $116/hr

The Business Intelligence Developer owns our data platform end to end, from POS source system ingestion through Microsoft Fabric to the Power BI dashboards our teams use every day. This role is the ...

$100 - $125/hr

Business Intelligence Analyst Location: Denver, CO Industry: Construction Materials / Heavy ... Bachelor's degree in Business Analytics, Data Science, Information Systems, Engineering, or related ...

ClifyX is seeking a Decision Intelligence Engineer to build and deploy enterprise-scale decision ... ClifyX provides innovative business solutions which satisfy requirements for mission-critical ...

$81 - $120/hr

As a Business Intelligence Analyst on our team, you will build and maintain reporting assets across ... Collaborate with analysts, engineers, and business partners to execute exploratory analysis and ...

$128 - $165/hr

Establish architectural standards, patterns, and best practices for data engineering and analytics ... Business Intelligence, Analytics, and Forecasting * Influences finance performance reporting ...

$102 - $170/hr

* Software Engineer III - Business Intelligence/Database Development Software Engineer III - Business Intelligence/Database Development | Req#4673 Software Engineer III - Business Intelligence/Database ...

$98 - $163/hr

Collaborate across engineering, analytics, data science, and mission support teams to ensure ... With an integrated business technology approach, Guidehouse drives efficiency and resilience in the ...

$105 - $195/hr

Minimum Requirements Master's degree in Business Analytics, Data Analytics /Engineering ... Intelligence roadmap. * Utilize knowledge of data visualization and storytelling to craft data ...

$91 - $129/hr

Days, 8-Hour Shifts, Monday-Friday #141032 Business Intelligence Analyst - ACTRI - Hybrid Filing ... Ability to use programming languages and data tools to design, develop, test, and maintain scalable ...

$129 - $178/hr

Working closely with business, product, and engineering teams, you identify where decisions should ... Decision intelligence modeling -- Analyze and formally model business decision processes, including ...

$173 - $260/hr

## Staff Business Intelligence ArchitectApplyremote type: Office Tech-Flexiblelocations: California ... You will partner closely with leaders across Go-to-Market, Engineering, Finance, and Data to solve ...

$90 - $120/hr

Power BI & SSRS Business Intelligence Developer Full-time Our executive dashboards, reseller performance reports, and financial analytics run on Power BI with data sourced from SQL Server Analysis ...

$57.31/hr

The Business Intelligence Intern, Mission Critical is the intersection of data analytics, process ... Pursuing bachelor's / master's degree in business, Engineering, Data Analytics, or related field.

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Showing results 1-20

Business Intelligence Engineer information

See Kentucky salary details

$25

$49

$69

How much do business intelligence engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for business intelligence engineer in Kentucky is $49.55, according to ZipRecruiter salary data. Most workers in this role earn between $42.60 and $55.34 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.

What are the most commonly searched types of Business Intelligence Engineer jobs in Kentucky?

The most popular types of Business Intelligence Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Business Intelligence Engineer jobs?

Cities in Kentucky with the most Business Intelligence Engineer job openings:

Infographic showing various Business Intelligence Engineer job openings in Kentucky as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,059 per year, or $49.5 per hour.

Business Intelligence Developer

Flyover LLC

On-site

$95 - $116/hr

Other

Posted 10 days ago


Job description

The Business Intelligence Developer owns our data platform end to end, from POS source system ingestion through Microsoft Fabric to the Power BI dashboards our teams use every day. This role is the data and analytics subject matter expert on the IT team and works closely with the Revenue Manager and Finance to turn raw ticketing and point-of-sale data from multiple POS systems into reporting the business can rely on. As the only IT team member based at this location, the role also handles occasional Level 1 IT tasks that need to be done in person (no more than about four hours per week) and works a hybrid schedule, with on-site attendance expected when required. Early priorities include stabilizing core pipelines, closing data quality gaps, and building a clean, well-documented gold layer that business teams can build their reporting on.

Compensation :

  • 105kUSD/annually
  • Extended Benefits
  • Short Term Incentive Program

What you\'ll do

  • Design, build, and maintain Azure Data Factory pipelines that ingest data from multiple POS systems into Microsoft Fabric, including incremental loads, error handling, and data quality checks
  • Architect and manage the Fabric lakehouse/warehouse (bronze, silver, and gold layers) and handle platform administration: capacity and cost management, gateway configuration, workspace security, and monitoring and alerting for pipeline failures and data freshness
  • Own the database estate end to end, including a small on-premises SQL Server footprint supporting in-house applications: backups and recovery, patching and upgrades, performance tuning, security and access, and other database needs as they arise
  • Design star schemas and semantic models and write DAX measures for core business metrics such as attendance, admissions revenue, per capita spending, and operational KPIs
  • Work directly with business teams to understand what they need, then design and build Power BI dashboards with them for complex or high-visibility use cases; administer the Power BI service: workspaces, refreshes, row-level security, and app distribution
  • Partner with the Revenue Manager, Finance, and other stakeholders to translate reporting needs into well-structured, reusable data solutions, and support self-service BI and end-user enablement
  • Serve as the data and analytics SME within the IT team: define data standards and documentation, share knowledge with peers, and evaluate new Fabric capabilities as the platform evolves
  • As the only IT team member on site at this location, handle Level 1 tasks that need to be done in person (hardware setup and swaps, printer and peripheral issues, hands-on troubleshooting), up to about 4 hours per week; remote support is handled by the team in Vancouver
  • Other duties as assigned

Qualifications

  • Strong SQL skills: complex joins, window functions, CTEs, performance tuning
  • Intermediate to advanced DAX: time intelligence, filter context, iterator functions
  • Power BI semantic modeling (star schemas, relationships, import vs. DirectQuery/Direct Lake trade-offs), report development, and service administration
  • Able to translate stakeholder reporting needs into clear, actionable reporting
  • Self-directed: comfortable owning a domain and setting priorities with minimal oversight while collaborating across a cross-functional IT team
  • Comfortable handling occasional hands-on Level 1 IT tasks, such as desktop, printer, and peripheral troubleshooting, with a customer service mindset

Education & Experience

EDUCATION:

  • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

IDEAL EXPERIENCE: You won’t need every item on this list. If you meet most of it, we encourage you to apply.

  • 5+ years in data engineering, analytics engineering, or a combined BI/engineering role, including time owning pipelines or a data platform end to end
  • Microsoft Fabric (lakehouse, warehouse, or both), or a strong background in related Microsoft data technologies (Synapse, Azure SQL, SSAS) with willingness to go deep on Fabric
  • SQL Server administration for on-premises workloads: backup and recovery, patching and upgrades, instance and security configuration, and performance troubleshooting
  • Experience working with transactional data from ticketing or POS systems
  • Preferred: Python/PySpark; integrating multiple source systems with differing data models; attraction and visitor metrics (attendance and admissions revenue, per capita spending, advance bookings and booking pace, capacity utilization and yield); Git/version control; Fabric Data Activator, notebooks, or real-time analytics; small-team background wearing multiple hats

Welcoming All Applicants

At Flyover, we value a strong team built on respect and professionalism. We seek individuals who bring talent, enthusiasm, and a commitment to great guest experiences. Our hiring decisions are based on skills and qualifications, as well as alignment with our mission and values.

We evaluate qualified applicants without regard to race, color, age, religion, gender, sexual orientation, disability, veteran status, and other protected characteristics. To handle this job successfully, any person hired must be able to perform each task effectively. We welcome all applicants and are happy to provide accommodation upon request.

Thank you for your interest in this opportunity. To ensure a smooth process, we kindly request that candidates refrain from calling about the status of their application. Only those selected for an interview will be contacted. We appreciate your understanding.

About Flyover Attractions

Flyover is an award-winning immersive flying theatre experience that transports guests through the planet’s most epic places. The attraction utilizes flight motion seats engineered to swoop, dip and turn, giving guests a feeling of flight, while a 65-foot spherical screen provides guests with an unparalleled fight across iconic locations and natural landscapes. Special effects, including wind, mist and scents, to create an unforgettable entertainment experience. Flyover attractions are located in Chicago; Las Vegas; Reykjavik, Iceland; and Vancouver, Canada.

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