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Data Engineer Sports Analytics Jobs in Kentucky (NOW HIRING)

Sr. Data, Reporting Analyst

Louisville, KY · On-site

$78K - $99K/yr

... analytics, and visualization solutions. Partners with business stakeholders to gather requirements ... Data Engineers and Database Administrators. * Create and maintain data models, report datasets ...

Senior Data Analyst (SQL / SAP)

Hebron, KY · On-site

$82K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Technology, Data Analytics, Business, or related field * 5+ years of experience in data analysis, SQL development, or data engineering * Advanced SQL skills (complex queries ...

New

Senior Data Analyst (SQL / SAP)

Hebron, KY · On-site

$82K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Technology, Data Analytics, Business, or related field * 5+ years of experience in data analysis, SQL development, or data engineering * Advanced SQL skills (complex queries ...

New

Technical Architect - Data, Analytics & AI

Lexington, KY · Hybrid

$62.75 - $80.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Technical Architect - Data, Analytics & AI

Louisville, KY · Hybrid

$61.25 - $78.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Lead AI and Data Science Engineer II

Louisville, KY · On-site

$98K - $129K/yr

Analytics & Data Science * Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to ...

Data Analyst Senior

Lexington, KY · On-site

$75K - $94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Set up and maintain data processes and new analytics capabilities; Produce and track key ... Confer with systems analysts, engineers, programmers, and others to design applications that assess ...

Data Architect

Verona, KY · On-site +1

$59 - $75.75/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... You will collaborate with leading professionals in data analysis and processing, as well as in ...

Data Analyst Senior

Lexington, KY

$81K - $103K/yr

Set up and maintain data processes and new analytics capabilities; Produce and track key ... Confer with systems analysts, engineers, programmers, and others to design applications that assess ...

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Set up and maintain data processes and new analytics capabilities; Produce and track key ... Knowledge of programming language structures/logic and query languages such as SQL and object ...

Data Architect

Edmonton, KY · On-site

$54 - $69.25/hr

... data engineering, semantic modeling, analytics, reporting, and machine learning. • Conducting customer-facing strategic workshops and assessments of existing data platforms to create ...

Data Analyst

Harrodsburg, KY · Hybrid

$25 - $30/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst We are seeking a skilled Data Analyst to validate data from multiple systems and ... Experience in procurement, purchasing, ERP, supply chain, engineering, HR systems, and payroll ...

New

Staff Data Scientist

Erlanger, KY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Expertise in programming languages such as Python, R, or similar programming languages for data analysis. * Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning ...

Data Analyst

Murray, KY · On-site

$43K/yr

  • Medical

  • Retirement

  • PTO

Routinely discusses gaps in programming specifications with supervisor, Information Systems and ... and analyzing large data sets. * Excellent skills in organization and communication with ...

Showing results 41-60

Data Engineer Sports Analytics information

How does a data engineer in sports analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What does a data engineer in sports analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What are the key skills and qualifications needed to thrive as a data engineer in sports analytics?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.

What are popular job titles related to Data Engineer Sports Analytics jobs in Kentucky?

For Data Engineer Sports Analytics jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Data Engineer Sports Analytics jobs?

Cities in Kentucky with the most Data Engineer Sports Analytics job openings:

Infographic showing various Data Engineer Sports Analytics job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Managed Services - Data Engineer (Databricks & Kafka) - Manager

Pwc

Louisville, KY

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Managed Data, Analytics & Insights team you manage and lead projects related to building the modern data ecosystem and converting insights into strategic opportunities. As a Manager you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are responsible for project success, maintaining top standards, and leveraging team strengths to deliver on client expectations.
Responsibilities
- Manage and lead projects related to building modern data ecosystems
- Convert insights into strategic opportunities
- Lead teams and manage client accounts
- Focus on strategic planning and mentoring junior staff
- Maintain project success and uphold rigorous standards
- Leverage team strengths to meet client expectations
- Develop and implement impactful data strategies
- Foster a collaborative and top-performance team environment
What You Must Have
- Bachelor's Degree
- 10 years of experience in data and analytics management with at least 8 years of experience of leading various data and analytics program/initiatives of large sizes with 3 years experience managing and delivering Managed Data and Analytics programs (Managed services and Managed assets)
What Sets You Apart
- Bachelor's Degree in Information Technology, Computer and Information Science preferred
- PMP certification or accredited scrum master
- Experience with ITIL processes
- Leading Data & Analytics projects
- Designing and delivering Data processing activities
- Leading discussions for large transformation initiatives
- Managing risks and issues related to Data and Analytics
- Identifying new opportunities for growth
- Leading cloud scale development efforts

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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