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Remote Nhl Data Analytics Jobs in Ohio (NOW HIRING)

Huntington

Sr. Data Observability Analyst

Columbus, OH · On-site +1

$80K - $101K/yr

The Data Observability Analyst works with Business partners to understand data use requirements ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Sr. Data Observability Analyst

Columbus, OH · On-site +1

$80K - $101K/yr

The Data Observability Analyst works with Business partners to understand data use requirements ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Sr. Data Observability Analyst

Columbus, OH · On-site +1

$83K - $104K/yr

The Data Observability Analyst works with Business partners to understand data use requirements ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Management Operations Sr Analyst

Columbus, OH · On-site +1

$83K - $104K/yr

The Data Management Operations Senior Analyst plays a key role in ensuring the integrity and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Management Operations Sr Analyst

Columbus, OH · On-site +1

$80K - $101K/yr

The Data Management Operations Senior Analyst plays a key role in ensuring the integrity and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Commercial Data & Insight Analyst

Columbus, OH · On-site +1

$83K - $104K/yr

Leverages analytics expertise and ability to collaborate with cross functional teams within the ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Commercial Data & Insight Analyst

Columbus, OH · On-site +1

$83K - $104K/yr

Other reporting/analytics duties as assigned (ex. special projects, strategic efforts). Basic ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Analyst III

Cincinnati, OH · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

... Analytics Office to influence the business and technology strategies for the company. If you ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Nhl Data Analytics information

What is a remote NHL data analytics job?

Remote NHL Data Analytics jobs involve analyzing hockey-related data for the National Hockey League (NHL) while working from a remote location. Professionals in this field collect, organize, and interpret large datasets to provide insights into player performance, team strategies, and game outcomes. The work may include statistical modeling, data visualization, and the use of specialized software to help teams, media, or betting companies make informed decisions. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and a deep understanding of hockey. Remote roles allow for flexibility in location while still collaborating with teams and organizations virtually.

What are the key skills and qualifications needed to thrive as a remote NHL data analyst, and why are they important?

To thrive as a Remote NHL Data Analyst, you need a strong foundation in statistics, data analysis, and hockey knowledge, typically supported by a degree in data science, statistics, or a related field. Familiarity with analytics tools like Python, R, SQL, and visualization platforms such as Tableau or Power BI is essential, along with experience using sports data sources and APIs. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with remote teams and conveying insights to stakeholders. These skills and qualities are important for producing accurate, actionable insights that drive team strategy and performance improvements in a fast-paced, competitive sports environment.

What are some common challenges faced by professionals in a remote NHL data analytics role, and how can they be addressed?

A common challenge in remote NHL Data Analytics is ensuring seamless collaboration with coaches, scouts, and other analysts despite being physically distant from the team. Clear communication and regular virtual meetings are essential to align on objectives and share insights. Another challenge is managing and accessing large, proprietary datasets securely from remote locations, which requires strong data management practices and familiarity with secure cloud platforms. Staying updated on the latest hockey analytics trends and tools is also important for delivering actionable insights to the team.

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

AspectRemote Nhl Data AnalyticsRemote Sports Data Analyst
CredentialsDegree in Data Science, Statistics, or Sports ManagementDegree in Data Science, Statistics, or Sports Management
Work EnvironmentRemote, sports analytics companies, NHL teamsRemote, sports organizations, analytics firms
Industry UsagePrimarily NHL, hockey-focused analyticsVarious sports including hockey, football, basketball
Job FocusHockey-specific data analysis, player performance, game strategiesMultiple sports data analysis, performance metrics, trend forecasting

Remote Nhl Data Analytics specializes in hockey-specific data analysis within the NHL industry, focusing on player performance and game strategies. In contrast, Remote Sports Data Analyst roles cover multiple sports, analyzing broader performance metrics across various leagues. Both roles require similar credentials and often share work environments, but their industry focus and data scope differ significantly.

What are the most commonly searched types of Nhl Data Analytics jobs in Ohio?

The most popular types of Nhl Data Analytics jobs in Ohio are:

What are popular job titles related to Remote Nhl Data Analytics jobs in Ohio?

For Remote Nhl Data Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Nhl Data Analytics jobs in Ohio look for?

The top searched job categories for Remote Nhl Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Remote Nhl Data Analytics jobs?

Cities in Ohio with the most Remote Nhl Data Analytics job openings:

Remote Nhl Data Analytics jobs near you

Remote Sensing Scientist

Radiance Technologies

Beavercreek, OH • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational reimbursement, competitive salaries, interesting assignments, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Radiance is seeking a highly qualified and motivated scientist to support Geospatial Intelligence (GEOINT) production with the opportunity to continue advancement of non-literal spectral, thermal, and/or SAR analytical processes and techniques. The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the Processing, Exploitation, and Dissemination (PED) of remotely sensed data. The position requires working collaboratively with other engineers, scientists, and analysts on complex exploitation issues.

Job Duties

  • Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and disseminate GEOINT products
  • Provide technical leadership to teams performing exploitation and process development
  • Analyze and develop processes to support the exploitation of unique, anomalous, and difficult datasets utilizing engineering principles and a physics-based analytical approach
  • Perform algorithm development for complex data exploitation processes

Required Skills and Qualifications:

  • Bachelor's Degree (or higher) in a STEM field (Physics, Chemistry, Geology, Remote Sensing, or other relevant technical field)
  • Experience in processing and analyzing remote sensing data
  • Active TS clearance with SCI eligibility
  • Understanding of signal processing techniques for solving new problems
  • Ability to work both independently and in a team environment
  • Strong technical writing and briefing skills

Desired Skills and Qualifications:

  • Interpretation of image-based data
  • Experience with ENVI, ArcGIS, and/or similar software tools
  • Ability to code/script, such as in Python, IDL, etc.

Radiance Technologies is 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, or protected veteran status.

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