ZipRecruiter

Log In

2

Remote Football Data Analytics Jobs in Kentucky (NOW HIRING)

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations * Enable data for AI/ML use cases by preparing ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations * Enable data for AI/ML use cases by preparing ...

Cayenta

(Remote) Support Analyst

Canada, KY · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

NV5

Senior Analyst

Lexington, KY · On-site +1

$77K - $102K/yr

... remote sensing, data management, quality control, and project delivery teams. Work Environment ... Geospatial Analysis and Product Development: * Conduct complex geospatial analyses using ...

NV5

Senior Analyst

Lexington, KY · On-site +1

$77K - $102K/yr

... remote sensing, data management, quality control, and project delivery teams. Work Environment ... Conduct complex geospatial analyses using transportation-related data sources, including roadway ...

Papco

Energy Procurement Analyst

Louisville, KY · Remote

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

next page

Showing results 1-20

All JobsFootball Data Analytics JobsRemote Football Data Analytics JobsRemote Football Data Analytics Jobs in Kentucky

Remote Football Data Analytics information

How do remote football data analytics professionals typically collaborate with coaches and team analysts?

Remote football data analytics professionals often work closely with coaches and on-site analysts through regular virtual meetings, data-sharing platforms, and real-time communication tools. They are responsible for delivering insightful reports, visualizations, and actionable recommendations that inform game strategies and player development. Clear communication and a collaborative mindset are essential, as these professionals need to translate complex data into accessible insights while responding promptly to feedback and changing team needs.

What is the difference between Remote Football Data Analytics vs Remote Sports Data Analyst?

AspectRemote Football Data AnalyticsRemote Sports Data Analyst
CredentialsDegree in Data Science, Sports Management, or related field; knowledge of football statisticsDegree in Data Science, Sports Management, or related field; broad sports knowledge
Work EnvironmentRemote, focused on football data projectsRemote, covering multiple sports or general sports data analysis
Industry UsagePrimarily in football clubs, leagues, and football-focused mediaIn various sports organizations, media outlets, and analytics firms
Search & Comparison IntentSpecific to football data analysis rolesBroader sports data analysis roles

Remote Football Data Analytics focuses specifically on football-related data, requiring specialized football knowledge and analytics skills. In contrast, Remote Sports Data Analyst roles encompass multiple sports, demanding broader sports industry understanding. Both roles often share similar credentials and work environments but differ in their scope and industry focus.

What is a Remote Football Data Analyst?

A Remote Football Data Analyst is a professional who collects, processes, and interprets football-related data from a remote location, often using specialized software and statistical methods. They analyze match statistics, player performance data, and tactical trends to provide insights for teams, media, or betting companies. Their work helps improve team strategies, scouting, and fan engagement, all while working outside of a traditional office or stadium environment. This role requires strong analytical skills, a deep understanding of football, and proficiency in data analysis tools.

What are the key skills and qualifications needed to thrive as a Remote Football Data Analyst, and why are they important?

To thrive as a Remote Football Data Analyst, you need strong skills in statistical analysis, data interpretation, and a solid understanding of football tactics, typically supported by a degree in statistics, mathematics, or sports science. Proficiency with data analysis tools like Python, R, SQL, and sports analytics platforms such as Opta or Wyscout is highly valued. Excellent communication, attention to detail, and the ability to work independently are crucial soft skills for this remote role. These skills are important to deliver actionable insights that drive team performance and informed decision-making in a competitive sports environment.
What are the most commonly searched types of Football Data Analytics jobs in Kentucky? The most popular types of Football Data Analytics jobs in Kentucky are:
What are popular job titles related to Remote Football Data Analytics jobs in Kentucky? For Remote Football Data Analytics jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Football Data Analytics jobs in Kentucky look for? The top searched job categories for Remote Football Data Analytics jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Football Data Analytics jobs? Cities in Kentucky with the most Remote Football Data Analytics job openings:
Remote Football Data Analytics jobs near you
Senior Compensation Systems and Data Analyst (Remote)

Senior Compensation Systems and Data Analyst (Remote)

ScionHealth

Louisville, KY • On-site, Remote

$79K - $103K/yr

Full-time

Posted 2 days ago

ScionHealth rating

5.6

Company rating: 5.6 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

803rd of 890 rated healthcare providers

Job description

At ScionHealth, we empower our caregivers to do what they do best. We value every voice by caring deeply for every patient and each other. We show courage by running toward the challenge and we lean into new ideas by embracing curiosity and question asking. Together, we create our culture by living our values in our day-to-day interactions with our patients and teammates.
Job Summary
The Senior Compensation Systems & Data Analyst is responsible for supporting the integrity, accuracy, and operational effectiveness of the organization's compensation systems, job architecture data, market pricing infrastructure, and related analytics. This role combines compensation operations, systems administration, data governance, reporting, and analytical support to enable informed decision-making across the employee lifecycle. Working across compensation, human resources, business leaders, and other internal partners, this position maintains critical compensation data and tools, supports recurring audit and survey processes, develops dashboards and reports, and provides analytical insights that improve data quality, strengthen governance, and support strategic decision-making. This role also helps create scalability and operational consistency within the Compensation function.
Essential Functions
  • Administers and maintains compensation-related systems, workflows, access, and supporting processes.
  • Supports administration of market pricing platforms, including survey loads, pricing updates, survey matching, and pricing file maintenance.
  • Performs audits, reconciliations, and validation of compensation, job, and employee data across multiple systems and reports.
  • Maintains key job architecture attributes, including but not limited to job codes, SOC codes, FLSA status, job family, sub-category, geographic differentials, and eligibility indicators.
  • Identifies data quality issues, researches root causes, recommends corrective action, and supports long-term improvements in data governance.
  • Develops, maintains, and refreshes recurring compensation reports, dashboards, lookup tools, and data models.
  • Translates complex data into clear, practical recommendations for a range of audiences.
  • Provides deep-dive analyses and actionable insights that inform strategic and operational decisions.
  • Provides analytical support across compensation and broader people-related topics such as hiring, retention, engagement, and internal mobility.
  • Translates complex data into clear findings, practical recommendations, and decision-support materials for a variety of audiences.
  • Documents processes, supports standardization, and contributes to operational efficiency and audit readiness.
  • Develop materials and deliverables for business owners to aid in understanding and execution of compensation processes.

Knowledge/Skills/Abilities/Expectations
  • Strong analytical and problem-solving skills with the ability to work with large, complex datasets.
  • Strong attention to detail and commitment to data accuracy, validation, and process consistency.
  • Ability to identify trends, issues, and opportunities within data and translate them into actionable insights.
  • Ability to communicate technical or analytical information clearly and effectively to both technical and non-technical audiences.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines.
  • Ability to work independently while also collaborating effectively with cross-functional partners.
  • Process orientation with a focus on documentation, control, and continuous improvement.
  • Advanced proficiency in Microsoft Excel required; Power Query preferred.
  • Experience with reporting, dashboard, or analytical tools such as Python or similar preferred.
  • Experience with HRIS and compensation systems preferred.

Qualifications
Education
  • Bachelor's Degree Human Resources, Business, Finance, Analytics, Information Systems, or a related field (Required)
  • Equivalent Combination of Education and Experience in related field (May be Considered)

Experience
  • 5+ years experience in compensation, HR systems, HRIS, people analytics, reporting, data analysis, or a related field (Required)
  • Prior Experience supporting compensation programs, market pricing, survey participation, job architecture, or related compensation processes (Preferred)
  • Prior Experience working with large datasets and multiple systems (Preferred)

What ScionHealth employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply