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Seasonal Nhl Data Analytics Jobs (NOW HIRING)

... seasonal programming, and retail for all ages. It's also home to some of the area's most sought ... Position Summary The Associate, Analytics & Insights will join the Destination & Experiences team ...

Support new product launches and seasonal resets with data-driven recommendations. * Prepare ... analytics or a related analytical role. * Advanced Excel skills and experience with data ...

Support new product launches and seasonal resets with data-driven recommendations. * Prepare ... analytics or a related analytical role. * Advanced Excel skills and experience with data ...

Senior Business Analyst

New York, NY

$101K - $130K/yr

At the NHL, we are looking for dynamic, energetic and impactful individuals who are committed to ... Support the development of data migration strategies, create data mapping documentation, and data ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

You will be the engine behind our product performance, analyzing sales trends, seasonal ... Responsible for data discovery and turning raw data into logical information for recurring and ad ...

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Seasonal Nhl Data Analytics information

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$46K

$165K

$243.5K

How much do seasonal nhl data analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for seasonal nhl data analytics in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Nhl Data Analytics vs Hockey Data Analyst?

AspectSeasonal Nhl Data AnalyticsHockey Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of hockey analytics toolsDegree in Data Science, Statistics, or related field; familiarity with hockey metrics
Work EnvironmentSports teams, analytics firms, or media outlets during hockey seasonSports organizations, analytics companies, or media outlets focusing on hockey
Industry UsageAnalyzing NHL data for team strategies, player performance, and game predictionsInterpreting hockey data to inform coaching, scouting, or media commentary

Both roles involve analyzing hockey data, but Seasonal Nhl Data Analytics typically emphasizes seasonal performance metrics and predictive modeling, often with a focus on NHL-specific datasets. A Hockey Data Analyst may have a broader scope, including media analysis or scouting, but both require similar skills and credentials.

More about Seasonal Nhl Data Analytics jobs

What cities are hiring for Seasonal Nhl Data Analytics jobs?

Cities with the most Seasonal Nhl Data Analytics job openings:

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

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What job categories do people searching Seasonal Nhl Data Analytics jobs look for?

The top searched job categories for Seasonal Nhl Data Analytics jobs are:

Infographic showing various Seasonal Nhl Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Full-time

Posted 12 days ago


Job description

About the Job

Our Destination & Experiences Portfolio brings together everything that makes our landmark destination an iconic and essential part of a major metropolitan city. For decades, our destination has been a place where the city’s energy, creativity, and spirit come alive—offering world-famous attractions, award-winning dining, legendary live entertainment, seasonal programming, and retail for all ages. It’s also home to some of the area’s most sought-after event venues, from historic dining rooms to rooftop gatherings overlooking prime commercial corridors.

As part of the team, you’ll help shape unforgettable experiences at one of the most beloved destinations in the world—where locals and visitors come to connect, explore, and celebrate.

Position Summary

The Associate, Analytics & Insights will join the Destination & Experiences team, working closely with leaders for the portfolio of owned and operated businesses across Attractions, Hospitality/Restaurants, and Partnerships.

The Associate will support the team’s business analytics and performance function, helping to analyze key drivers of growth, monitor performance, and support day-to-day decision-making. This is a business-facing role first, with responsibility for delivering accurate, timely insights and supporting executive-level updates and materials.

In parallel, the Associate will play a critical role in building a more scalable analytics capability—developing dashboards, working with data models, and leveraging AI-enabled tools to automate reporting and improve efficiency. This role requires both strong business judgment and hands-on technical capability.

Key Responsibilities

Business Analytics & Performance Support

  • Support analytics across operating businesses, including Attractions, Hospitality/Restaurants, and Partnerships.

  • Analyze key performance drivers including revenue, demand, pricing, conversion, and guest behavior.

  • Build and maintain weekly and monthly performance reporting.

  • Support performance reporting, forecasting, pacing analysis, and sales team incentive plans.

Executive Support & Structured Problem Solving

  • Prepare executive updates, summaries, and CEO-ready presentations.

  • Structure business problems and translate data into clear, actionable insights.

  • Support senior leaders with ad hoc analysis to support decision-making.

Data & Dashboard Development

  • Build and maintain dashboards (e.g., Tableau, Power BI) used by operators and leadership.

  • Write and maintain SQL queries to support reporting and analysis.

  • Work with datasets across ticketing, CRM, POS, and financial systems.

  • Validate data outputs and support reconciliation with Finance and Accounting.

Automation & AI Enablement

  • Use Python, SQL, and/or automation tools to streamline reporting and analysis.

  • Leverage AI tools (e.g., LLMs, agent-based workflows, automation platforms) to reduce manual work and improve speed.

  • Identify opportunities to automate recurring reporting and build reusable workflows.

  • Support experimentation with new tools to improve productivity and insight generation.

Cross-Functional Coordination

  • Partner with teams across Operations, Sales, Marketing, Revenue Management, Finance & Accounting.

  • Support cross-functional initiatives impacting multiple businesses.

  • Ensure alignment between operational metrics and financial reporting.

Skills & Qualifications

  • 2–4 years of experience in strategy consulting, analytics, data science, or a related field.

  • Outstanding academic achievement from a top-tier university.

  • Ability to manage multiple workstreams in a fast-paced environment.

  • Strong communication skills and attention to detail.

Technical Requirements

  • Strong proficiency in SQL (must be able to write and troubleshoot queries independently).

  • Experience with data visualization tools (Tableau, Power BI, or equivalent).

  • Working knowledge of Python or other scripting/automation tools.

  • Comfort working with structured and unstructured data from multiple systems.

  • Proficiency with AI tools, automation, and a keen interest in emerging technologies.

Analytical & Business Skills

  • Strong structured problem-solving and analytical thinking.

  • Advanced proficiency in Excel and PowerPoint (ability to build executive-ready materials).

  • Ability to translate data into business insights and recommendations.

Who Thrives In This Role

  • A former consultant or analyst who also enjoys building, not just analyzing.

  • Someone comfortable moving between data, tools, presentations, and business questions.

  • A self-starter who identifies inefficiencies and automates them.

  • A candidate interested in growing into a data, analytics, or business leadership role.