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Fulltime Nhl Data Analytics Jobs in Utah (NOW HIRING)

Filevine

Principal Data Analyst

Salt Lake City, UT · On-site

Reporting directly to executive leadership, this individual will manage daily analytics operations ... full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time ...

Filevine

Principal Data Analyst

Salt Lake City, UT · On-site

Reporting directly to executive leadership, this individual will manage daily analytics operations ... full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time ...

Filevine

Principal Data Analyst

Salt Lake City, UT · On-site

Reporting directly to executive leadership, this individual will manage daily analytics operations ... full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time ...

University of Utah

Data Scientists

Salt Lake City, UT · On-site

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ...

University of Utah

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ...

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Fulltime Nhl Data Analytics information

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

AspectFulltime Nhl Data AnalyticsSports Data Analyst
CredentialsDegree in Data Science, Statistics, or related field; knowledge of hockey statisticsDegree in Sports Management, Data Science, or related; strong analytical skills
Work EnvironmentProfessional NHL team or league office, focused on hockey dataSports organizations, teams, or media outlets, covering various sports including hockey
Industry UsagePrimarily within NHL organizations, specialized in hockey analyticsBroader sports industry, covering multiple sports including hockey

Fulltime Nhl Data Analytics roles are specialized positions within NHL organizations focusing solely on hockey data. Sports Data Analysts may work across various sports, including hockey, but their roles are broader and less specialized in NHL-specific data. The key differences lie in industry focus, environment, and specific skill requirements.

How to become a fulltime NHL data analyst?

To become a full-time NHL data analyst, candidates typically need a strong background in statistics, data analysis, or sports management, along with proficiency in tools like Excel, SQL, and data visualization software. Gaining experience through internships or entry-level roles in sports analytics and developing a deep understanding of hockey are also important steps.

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The top searched job categories for Fulltime Nhl Data Analytics jobs in Utah are:

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Cities in Utah with the most Fulltime Nhl Data Analytics job openings:

Fulltime Nhl Data Analytics jobs near you

Manager, Fraud Detection and Data Analytics

Fidelity Investments

Salt Lake City, UT

Full-time

Posted 18 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 273 frontline employees who took The Breakroom Quiz

16th of 154 rated financial services

Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role
The Fraud Detection Analytics Team is responsible for ensuring that fraudulent events-such as account logins, account openings, and payment attempts-occurring on Fidelity's platform are detected and mitigated in a timely manner. The team leverages a combination of vendor and internally developed tools and models to enable real-time detection and interdiction at various stages of the customer lifecycle.
You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies. Your work will focus on identifying fraud and scam schemes and implementing detection solutions to mitigate risk, using advanced analytics and data analysis tools. Key responsibilities include:

  • Analyze complex datasets to identify risk signals related to cryptocurrency and scams involving money movement.

  • Use Python, SQL, and analytical tools to analyze large, complex, and unstructured datasets and extract actionable insights.

  • Implement fraud detection strategies in a real-time fraud decisioning engine.

  • Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings.

  • Communicate insights clearly and effectively to influence stakeholders and drive product changes.

  • Collaborate across business units to drive data-informed strategies for fraud detection.

  • Contribute to the continuous improvement of the fraud detection program, through rule and model refinement, fraud hunting, and data discovery.

The Expertise and Skills You Bring

  • Bachelor's with 5 plus years or Master's with 3 plus years of experience in data analytics, preferably in fraud detection, cybersecurity, or risk domains.

  • Strong proficiency in Python and SQL for data analysis and automation.

  • Experience working with large-scale datasets and analytical platforms.

  • Skilled in using analytics tools (e.g., dashboards, statistical packages, data visualization platforms) and predictive statistics to perform advanced analytics and uncover actionable insights.

  • Ability to translate complex data into clear, actionable insights.

  • Strong communication and collaboration skills to work across teams and influence decisions.

  • Experience in anomaly detection, fraud/scams analytics, or crypto is a plus.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Data Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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