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Analytic Engineer Jobs in Prospect, KY (NOW HIRING)

Metrology Engineer

New Albany, IN · On-site

$115K - $125K/yr

Top Requirements: * 3-5+ years of experience in metrology, quality, or manufacturing engineering (not entry-level) * Bachelor's degree in an analytical, engineering, or technical discipline

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

NGA AI Engineer Manager

Louisville, KY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

ERP AI Engineer - Manager

Louisville, KY · On-site

$99K - $232K/yr

These individuals analyse client needs, implement software solutions, and provide training and ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

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Showing results 1-20

Analytic Engineer information

See Prospect, KY salary details

$35.7K

$93.2K

$126K

How much do analytic engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for analytic engineer in Prospect, KY is $93,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $106,700.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They often require skills in SQL, data modeling, and tools like Python or Spark, and employment opportunities are expected to grow as organizations prioritize analytics and data infrastructure.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like dbt or Looker, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What does an analytic engineer do?

An analytic engineer designs, develops, and maintains data pipelines and systems to collect, process, and analyze large datasets. They often work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for business insights and decision-making.
Infographic showing various Analytic Engineer job openings in Prospect, KY as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $93,214 per year, or $44.8 per hour.

IT Analytics Engineer II

Texas Roadhouse

Louisville, KY

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Texas Roadhouse rating

5.9

Company rating: 5.9 out of 10

Based on 1,098 frontline employees who took The Breakroom Quiz

46th of 88 rated restaurants


Job description

Ready to Love Your Job?

Texas Roadhouse is looking for legendary, passionate Roadies to join our Support Center team in Louisville, KY. If you're ready to bring your energy, partnership, and heart to a place where fun meets purpose, you've come to the right place. Come see why our Roadies love their jobs!

Why This Role Rocks

Do you love turning complex data into meaningful insights? As an Analytics Engineer II, you'll play a key role in building the foundation that powers data-driven decision-making across the business. You'll design and own enterprise-scale semantic models, create trusted metrics, and develop impactful Power BI reporting solutions using Microsoft Fabric.

In this role, you'll collaborate closely with our BI Product Owner, Data Engineering team, and business stakeholders to deliver reliable, scalable analytics that empower self-service reporting and drive smarter decisions. If you're passionate about data modeling, Power BI, and creating analytics solutions that make a real impact, we'd love to meet you.

*This is an on-site position working a hybrid schedule (minimum 3 days in office every week) at the Texas Roadhouse Support Center in Louisville, Kentucky.

Your Recipe for Success

  • 4-6 years of experience in Analytics Engineering, BI Engineering, or advanced Power BI development

  • Strong expertise in Power BI, Microsoft Fabric, DAX, dimensional modeling, and performance optimization

  • Experience owning and supporting production-ready semantic models, datasets, and governed business metrics

  • Solid SQL skills and strong understanding of data modeling best practices

  • Experience building analytics solutions used by business stakeholders across an organization

  • Familiarity with Git and analytics deployment processes

  • Ability to collaborate effectively with technical teams and business partners

  • Experience aligned with Microsoft Fabric Analytics Engineer (DP-600) capabilities

  • Bonus Points For:

  • Hands-on experience with Microsoft Fabric Lakehouse, Warehouse, or Direct Lake

  • Experience with Tabular Editor

  • Experience working within a product-based analytics environment

Certifications

  • DP-600 (Fabric Analytics Engineer) and PL-300 (Power BI Data Analyst) preferred

  • Candidates who do not currently hold these certifications should be willing to pursue them within their first 6-12 months of employment. We'll provide support along the way!

What's On Your Plate

  • Design, build, and maintain scalable semantic models in Microsoft Fabric and Power BI

  • Create governed business metrics and complex DAX calculations that drive consistent reporting across the organization

  • Develop and support high-impact Power BI reports, dashboards, and applications

  • Optimize report performance, troubleshoot production issues, and ensure data accuracy

  • Implement and manage row-level security, data governance standards, and certified datasets

  • Partner with Data Engineering to ensure analytics-ready data structures and solutions

  • Support self-service analytics by publishing reusable, trusted datasets

  • Monitor analytics asset performance, reliability, and user adoption

  • Contribute to analytics standards, documentation, and best practices

  • Collaborate with business stakeholders to understand requirements and deliver meaningful insights

  • Participate in modern analytics development practices, including Git, deployment pipelines, and CI/CD processes

Why You'll Love Your Job

As our founder Kent Taylor said, "We're a people-first company that just happens to serve steaks." We believe in taking care of the whole Roadie: from professional development opportunities to a robust benefits package. Our culture is just one reason why many of our leaders started as servers, managers, and line cooks, and have grown Legendary careers with us. Here's a taste of what we offer:

  • Best-in-class benefits including medical, dental, vision, and 100% paid maternity leave

  • Generous time off including vacation, parental, donor, and bereavement leave

  • Wellness perks like on-site personal trainers, massages, a full gym, and a registered nurse

  • Convenience services like car detailing, dry cleaning, and even spray tans

  • Financial support with 401(k), tuition reimbursement, stock units, and holiday bonuses

  • Delicious perks from Willie's Joynt-our full-service cafe serving up legendary meals

Support Center employees who meet benefit eligibility receive a comprehensive total rewards package starting the first day of the month after 31 days of employment.

This job description includes essential functions and basic duties and is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as appropriate. This document is not a contract of employment, and the Company reserves the right to change this job description and/or assign tasks for the employee to perform, as the Company may deem appropriate.

We are proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, gender, pregnancy, gender identity, disability, veteran status, sexual orientation, citizenship, national origin, or any other legally-protected status. We encourage and welcome all applicants to apply.

Employment Type: FULL_TIME

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