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Entry Level Nhl Data Analytics Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Specifically seeking future or entry level candidates majoring Computer Science, Statistics ... Responsible for performing procedures such as data analytics, robotics, and machine learning.

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Collabera LLC

Data Analyst-Entry Level Candidates

Orlando, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst Retail AML / Transaction Monitoring (Entry Level Candidates only - Train and Hire model) Location: Orlando, FL Duration: 12 24 months, with possibility of conversion Work Arrangement:

SynergisticIT

Junior Data Analyst

Washington, DC · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Gain America

Entry Level Data Analyst

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Hays Electrical Services

Data Analyst I

Houston, TX

  • Medical

  • Dental

  • Vision

  • Retirement

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site Position Summary The Data Analyst I is an entry-level position within the Business Intelligence ...

Hays Electrical Services

Data Analyst I

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site Position Summary The Data Analyst I is an entry-level position within the Business Intelligence ...

Minute Media

Sports Writer - NBA/NHL

New York, NY · On-site +1

$50K - $55K/yr

  • Medical

  • Retirement

  • PTO

Write timely, engaging NBA or NHL content, including breaking news, analysis, opinion pieces, game ... Use SEO, audience data, social trends, and editorial guidance to strengthen story selection ...

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Entry Level Nhl Data Analytics information

See salary details

$33K

$81.5K

$140K

How much do entry level nhl data analytics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level nhl data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

How to become an entry level NHL data analyst?

To become an entry-level NHL data analyst, candidates typically need a bachelor's degree in fields like statistics, data science, or sports management. Developing skills in data analysis tools such as Excel, SQL, and Python, along with a strong understanding of hockey and sports analytics, is essential. Gaining experience through internships or projects related to sports data can also improve job prospects.

How much do entry level NHL data analysts make?

Entry-level NHL data analysts typically earn between $40,000 and $60,000 annually, depending on the organization and location. Starting salaries may increase with relevant skills in data analysis tools like Excel, SQL, or Python, and some positions may offer additional benefits or bonuses.

Can I get into entry level nhl data analytics with no experience?

Entry level NHL data analytics roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, but prior experience is not always mandatory. Candidates often need a relevant degree or coursework in statistics, sports management, or related fields, and strong analytical skills are essential for entry-level positions in this field.

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

The most popular types of Nhl Data Analytics jobs are:

Entry Level Nhl Data Analytics jobs near you
Infographic showing various Entry Level Nhl Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 27 days ago

Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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