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Remote Football Data Analytics Jobs in Indiana (NOW HIRING)

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Support the development of AIenabled and automated analytics capabilities * Leverage Industry data ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Senior Manager - EHS (Remote)

Indianapolis, IN ยท Remote

$153K - $255K/yr

Remote *This is a remote role that can be performed from anywhere in the United States ... Proficiency in data analytics tools and Microsoft Office Suite (e.g., Power BI, Excel). * Ability ...

Billing Analyst - Hybrid Remote

Bloomington, IN ยท On-site +1

$42K - $56K/yr

In lieu of degree, an additional 10 years' relevant experience may be considered Experience: * 5 years' hands-on working experience with database interaction and data analytics. Preferred background ...

Develops and analyzes data related to complex actuarial functions * Evaluates analytical work done ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Remote - US Interested applicants must reside in one of the following approved states: Arizona ... You'll be the architect of a centralized, trusted data ecosystem-transforming complex trade data ...

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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 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 Equity Research Analyst - AI Trainer ($50-$60 per hour)

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

Data Annotation

Princeton, IN โ€ข Remote

$50 - $60/hr

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

We're currently expanding into an exciting new area โ€“ 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.

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 โ€“ and where it doesnโ€™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 Masterโ€™s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects

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 Master's and/or PhD 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.