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Remote Football Data Analytics Jobs in Minnesota

Data Analyst II - Remote

Plymouth, MN · On-site +1

$72K - $130K/yr

The Medicare STARS team provides management, strategic oversight, SME knowledge, data analytics, data delivery & stewardship, and production support for technical assets which deliver Medicare ...

Data Analyst II - Remote

Plymouth, MN · On-site +1

$72K - $130K/yr

The Medicare STARS team provides management, strategic oversight, SME knowledge, data analytics, data delivery & stewardship, and production support for technical assets which deliver Medicare ...

Manager of Analytics

Saint Cloud, MN · Remote

$114K - $172K/yr

... of data analytics to solve problems and find opportunities for continuous improvement. Schedule: * Full-time 80 hours every 2 weeks * Monday-Friday 8a-5p * Majority remote | Occasional need for ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly ...

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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 Minnesota? The most popular types of Football Data Analytics jobs in Minnesota are:
What are popular job titles related to Remote Football Data Analytics jobs in Minnesota? For Remote Football Data Analytics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Football Data Analytics jobs in Minnesota look for? The top searched job categories for Remote Football Data Analytics jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Football Data Analytics jobs? Cities in Minnesota with the most Remote Football Data Analytics job openings:
Infographic showing various Remote Football Data Analytics job openings in Minnesota as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Analytics Engineer - Remote

Senior Data Analytics Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

Posted 11 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers


Job description

OptumInsightis improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, andultimately consumers. Our deepexpertisein the industry and innovative technology empower us to help organizations reduce costs while improving risk management,qualityand revenue growth. Ready to help us deliver results that improve lives?Join us to startCaring. Connecting. Growing together.


The Fraud Retrospective Product provides analytic application development and support and consulting for Optum Payment Integrity.  Our analytics team works with our business partners to support data ingestion and analytic processes identifying potential fraudulent activity.  


Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activities across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product road maps.


Our Senior Software Engineer position will develop new analytics, enhance existing analytics, and maintain and improve the applications that support these analytics.  Additionally, this position will have the opportunity to conduct analysis research and consulting for new project initiatives across the portfolio the team supports.  Currently most analytics are written in SAS executing in a SAS Grid / Unix environment, but the team is transforming these analytics leveraging open-source tools like Azure, Python, Scala, Spark.


You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities:

  • Provide realistic effort estimates and project timelines for development and support projects
  • Interpret business requirements and functional specifications and create technical design and technical specifications documents
  • Develop analytic processes following existing standard structures and macros.  Develop for a production environment
  • Conduct data extraction and research studies that may include analyzing, reviewing, trending, and presenting information, based on provided specifications, to support adhoc data request
  • Work with business engagement leaders and technical analysts to develop new and modify existing process documentation and templates
  • Conduct analyses of data elements within existing source data mart schemas
  • Analyze healthcare claims from different data sources and identify data integrity issues
  • Perform unit, system and regression testing for programs for quality assurance
  • Performance tuning of existing applications and analytics
  • Guide and advise developers to identify and improve the efficiency of current programming practices
  • Contribute to knowledge sharing, ideas and information relating to technologies and be a key technical expert within the team
  • Lead/Mentor new and existing team members
  • Continually identify deficiencies in production processes, propose enhancements, and implement those enhancements to increase productivity or reduce manual effort


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 3 years of experience with SAS
  • 3 years Relational Database experience - Oracle, Teradata, MySQL, and/or Snowflake
  • 3 years of analysis, process, problem solving and critical thinking experience


Preferred Qualifications:

  • 1 years of Healthcare Data Experience
  • UNIX
  • Azure, Python, Spark, or Databricks Experience
  • Experience with SQL
  • Experience with VS Code and GitHub Copilot for AI-assisted development
  • Experience with Agile/Scrum methodology


*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.


Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


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