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Remote Football Data Analytics Jobs in Indiana (NOW HIRING)

Johnson & Johnson

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

Jj

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

Johnson & Johnson

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

Jj

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Resolve complex analytical problems using quantitative approaches through a combination of ... Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Resolve complex analytical problems using quantitative approaches through a combination of ... Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary ...

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All JobsRemote Football Data Analytics JobsRemote Football Data Analytics Jobs in Indiana

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 Indiana? The most popular types of Football Data Analytics jobs in Indiana are:
What are popular job titles related to Remote Football Data Analytics jobs in Indiana? For Remote Football Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Football Data Analytics jobs in Indiana look for? The top searched job categories for Remote Football Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Remote Football Data Analytics jobs? Cities in Indiana with the most Remote Football Data Analytics job openings:
Remote Football Data Analytics jobs near you
Remote Finance Analyst - AI Trainer ($50-$60 per hour)

Remote Finance Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Carmel, IN • Remote

$50 - $60/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.


We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.


We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.


To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.


Benefits:

  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work


Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance


Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Masters and/or PhD is is preferred but not required


Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

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