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Remote Football Data Analytics Jobs in Michigan (NOW HIRING)

Palantir, Data Engineer

Detroit, MI ยท Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

Palantir, Data Engineer

Detroit, MI ยท Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

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:

$50 - $60/hr

Join our team to help train the next generation of AI while enjoying the flexibility of remote work ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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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 Michigan? The most popular types of Football Data Analytics jobs in Michigan are:
What job categories do people searching Remote Football Data Analytics jobs in Michigan look for? The top searched job categories for Remote Football Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Remote Football Data Analytics jobs? Cities in Michigan with the most Remote Football Data Analytics job openings:

Data Analyst II - Remote Position

Trinityhealth

Livonia, MI โ€ข Remote

Full-time

Posted 11 days ago


Job description

Employment Type:Full timeShift:Day ShiftDescription:POSITION PURPOSE

The Data Analyst (II) provides business intelligence support to various department leaders in providing technical and analytic support for strategic and healthcare initiatives within Trinity Health. Applies statistical techniques and quantitative methods in reviewing data to develop scorecards, benchmarking studies, or integrated ad hoc analyses. Contributes to and participates with other teams such as but not limited to: Health Informatics, Trinity Information Services, Supply Chain, Revenue and Finance as needed to provide insights for strategic initiatives to leaders across the healthcare system.

This role supports and manages analytic design, data collection, and measure reporting in accordance with national and professional society standards and supports various healthcare initiatives aligned with organizational goals. Develops analytical and statistical skill set to research and make recommendations on business problems and to develop and implement data driven strategies to support key initiatives. In addition to advanced analytics skills, the Data Analyst (II) role requires knowledge in integrating and preparing large complex datasets from multiple data sources, consolidating them to draw contextual conclusions, and communicating results with healthcare and operational stakeholders, including mid-level management. This role also requires the application of project management concepts in the analytics life-cycle process.

ESSENTIAL FUNCTIONS

Knows, understands, incorporates and demonstrates the Trinity Health Mission, Vision, and Values in behaviors, practices and decisions.

Serves as a subject matter expert by providing analytic consultation in collaboration with other team members (clinical leaders, project managers, other analysts, etc.) in identifying analytics options and opportunities and providing problem solving solutions in support of the project goals.

Responsible for a moderate number of projects that are narrow in scope and moderate complexity including:

  • Reviewing and modifying existing systems including coding, testing, debugging, and documentation
  • Responsibility for the checks for validity and reproducibility of analyses
  • Maintaining routine reporting and ensuring completeness and accuracy of reports
  • Supporting the design and development of datasets from multiple data sources

Researches measure definitions, algorithms, published journal articles and statistical methods to make appropriate recommendations to support organizational goals.

Develops queries to source high-volume, high-dimensionality data from multiple complex databases. Cleans and manipulates data as appropriate for report generation, dashboard creation, or simple to moderately complex statistical analysis.

Regularly monitors performance of many key performance indicators, highlights trends, examines interactions in metrics, and identifies opportunities for improvements to leaders and stakeholders.

Develops portions of presentations, publications, website postings, and applications in collaborations with other stakeholders.

Draws strategic and tactical conclusions from data analyses through summarization, interpretation, and visualization of data so to make recommendations to clinical leadership in an easy-to-understand communication format.

Builds strong relationships internally and collaborates effectively on cross-functional teams. Collaborates with members of various other departments, for example (Supply Chain, Revenue and Finance) to develop integrated ad hoc analyses aligned with organizational goals.

Develops trusted relationships through efficient, high-quality execution of analyses and effective communication regarding expectations and timelines.

Provides technical and operational guidance and direction to Level I Data Analysts and collaboratively works with Senior Healthcare Data Analysts during consultations and presentations.

Works in partnership with Trinity Information Services and other technology teams in support of development and maintenance of data applications, clinical databases, and vendor systems containing clinical content.

Other duties as needed and assigned by the Director, Healthcare Data and Analytics.

Maintains a working knowledge of applicable Federal, State, and local laws and regulations, Trinity Health's Organizational Integrity Program, Standards of Conduct, as well as other policies and procedures in order to ensure adherence in a manner that reflects honest, ethical, and professional behavior.

MINIMUM QUALIFICATIONS

Must possess a comprehensive knowledge of data and analytics as normally obtained through a master's degree in Health Science, Epidemiology, Computer Science, Statistics, Mathematics, Engineering, or other technical concentration, and three to five (3-5) years of relevant operational, technical, healthcare or clinical data analytics experience; or an equivalent combination of education and experience.

Must possess excellent oral and written communication and presentation skills.

Must be well organized and possess the ability to work with minimal supervision, which includes setting one's own priorities and actively seeking direction in case of conflict.

Must be able to make decisions based on logical thinking and ethical principles.

Comprehensive knowledge of quality improvement principles, theory, study design and statistical modeling and possess and ability to continuously learn in these areas.

Advanced Microsoft Office skills required, particularly in Excel.

Proficient working with data in the capacity of a programmer.

Proficiency in statistical or analytic software systems such as SAS, R, SPSS, etc.

Experience with relational databases and general programming languages (SQL or Python).

Experience with various data reporting and visualization software (Tableau, Qlikview, Business Objects, etc.)

Excellent interpersonal skills to foster collaborative partnerships using a team approach to span traditional boundaries within a healthcare setting.

Must be comfortable operating in a collaborative, shared leadership environment.

Must possess a personal presence that is characterized by a sense of honesty, integrity, and caring with the ability to inspire and motivate others to promote the philosophy, mission, vision, goals, and values of Trinity Health.

PHYSICAL AND MENTAL REQUIREMENTS AND WORKING CONDITIONS

Must be able to set and organize own work priorities and adapt to them as they change frequently. Must be able to work concurrently on a variety of tasks/projects in an environment that may be stressful with individuals having diverse personalities and work styles.

Must possess the ability to comply with Trinity Health policies and procedures.

Pay Range- $86,175- $129,263

Our Commitment

Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by federal, state, or local law.