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Nba Data Analyst Jobs (NOW HIRING)

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

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Associate Retention Analyst

Atlanta, GA · On-site

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Develop data collection, data analysis, and business intelligence reporting systems to measure and ...

Lids

Entry ERP Systems Analyst

Indianapolis, IN · On-site

From specialty concept stores for the NBA and NHL to iconic clubhouse destinations for the Yankees ... Work on tasks assigned and report on data/records collected. * Communicate with employees at all ...

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How much do nba data analyst jobs pay per year?

As of Jul 22, 2026, the average yearly pay for nba data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How much do NBA data analysts make?

NBA data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of the organization. Entry-level analysts may start at lower salaries, while those with advanced skills in data visualization, statistical analysis, and familiarity with tools like SQL or Python can earn higher wages.

What do NBA data analysts do?

NBA data analysts collect, organize, and interpret basketball data to provide insights on player performance, team strategies, and game outcomes. They use statistical tools and software to analyze large datasets, supporting coaching decisions and team improvements.

What are the key skills and qualifications needed to thrive in the Nba Data Analyst position, and why are they important?

To thrive as an NBA Data Analyst, you need a strong background in statistics, data analysis, and basketball analytics, typically supported by a relevant degree in mathematics, statistics, or data science. Familiarity with analytical tools like SQL, Python, R, and data visualization software such as Tableau is essential, and experience using basketball analytics databases (like Synergy Sports or Second Spectrum) is highly valued. Attention to detail, effective communication, and the ability to collaborate with coaches and front-office staff are critical soft skills. These qualifications enable analysts to translate complex data into actionable insights that improve team performance and strategy.

What are the typical duties and responsibilities of an NBA Data Analyst during the basketball season?

NBA Data Analysts play a key role throughout the basketball season by collecting, cleaning, and analyzing large sets of game, player, and team data. They generate reports and visualizations that help coaches and executives make informed decisions about strategy, player performance, and opposition analysis. Collaboration is frequent, as analysts regularly meet with coaching staff, scouts, and management to present findings and answer data-driven questions. Their work environment is fast-paced, especially during games and playoffs, with rapid turnaround on actionable insights. The role often requires flexibility in hours and a proactive approach to problem-solving, staying up-to-date with the latest analytical methodologies and basketball trends.

How much do NBA analysts make?

NBA data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of the organization. Senior analysts or those working for major teams or leagues may earn higher salaries, often supplemented with bonuses or benefits. Skills in data analysis, sports statistics, and proficiency with tools like SQL or Python are valuable in this role.

How to become NBA data analyst?

To become an NBA data analyst, you typically need a bachelor's degree in statistics, data science, sports management, or a related field. Strong skills in data analysis tools like Excel, SQL, and programming languages such as Python or R are essential, along with a good understanding of basketball and sports analytics. Gaining experience through internships or projects and staying updated on industry trends can improve job prospects.

What is an NBA Data Analyst job?

An NBA Data Analyst is responsible for collecting, analyzing, and interpreting basketball data to provide insights that help teams make informed decisions. They work with statistics related to player performance, game strategy, and opponent tendencies, often using advanced analytics and data visualization tools. Their insights assist coaching staff, front office executives, and scouts in improving team performance, player acquisitions, and game strategies. Strong skills in programming, data modeling, and basketball knowledge are essential for this role.

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What cities are hiring for Nba Data Analyst jobs? Cities with the most Nba Data Analyst job openings:
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NBA Data Analyst jobs near you
Infographic showing various Nba Data Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data & Analytics Lead

Data & Analytics Lead

TicketManager

Calabasas, CA • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Live events are fun.
Concerts, sporting events, and festivals create memorable lifelong experiences with clients, prospects, partners, friends, and family-and they drive real business impact.
Companies spend more than $600 billion each year on client entertainment. TicketManager is the enterprise platform they trust to source, manage, track, and report on live event tickets and hospitality-while maintaining compliance, control, and visibility across the organization.
Built at the intersection of live events, technology, and enterprise operations, TicketManager makes client entertainment easy and measurable. Our industry-leading software supports everything from invitations and event execution to post-event reporting, helping companies clearly prove ROI and strengthen relationships through unforgettable experiences.
TicketManager is trusted by thousands of global brands, including Anheuser-Busch, Verizon, American Express, Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major organizations such as the NBA, NFL, NCAA, and NASCAR.
We're also proud to partner with some of the most iconic teams and venues in sports and entertainment, including the New York Jets, Philadelphia Eagles and Phillies, Capital One Arena, Texas Rangers, LAFC, and Seattle Seahawks, along with more than 50 professional and collegiate teams, franchises, universities, and technology providers.
Why Work at TicketManager
At TicketManager, you'll help build technology that brings people together through live experiences-while solving complex, real-world problems for the world's best companies. We're a fast-growing, profitable company that values ownership, collaboration, and excellence, and we're building a team that's passionate about making work impactful and fun.
If you're excited about live events, cutting-edge technology, and doing work that truly matters, you'll feel right at home here.
The Role:
The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already a heavy Power BI shop; your mission is to take our existing footprint to the next level. You will manage our Data Lake (AWS or Azure), scale our Power BI Fabric implementation, and act as a high-speed technical partner for every department-from Sales to Fulfillment. This is a role for a curious, experimental builder who loves solving complex puzzles under tight deadlines and providing the "speed to insight" that keeps our executive team moving.
Responsibilities:
Power BI & Fabric Power-User
  • Advance the Stack: Take ownership of a mature Power BI environment. Optimize existing dashboards for performance and design "next-gen" visualizations in Power BI Fabric.
  • New Development: Rapidly build and deploy new dashboards that track emerging business initiatives across the organization.
  • Deep-Dive DAX: Write and troubleshoot complex DAX and Power Query (M) to ensure our metrics are accurate and performant.
Data Lake Architecture & Management
  • Lake Ownership: Manage and optimize our Data Lake environment (AWS or Azure). Ensure data is clean, accessible, and structured for high-performance reporting.
  • Cross-Org Integration: Ingest data from disparate sources (Dynamics, Zendesk, Atlassian, and application data) into a unified layer that allows for cross-departmental analysis.
  • Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing methods to find the most efficient path to an answer.
High-Velocity Ad-Hoc Analysis
  • The "Human API": Act as the primary point of contact for "quick questions" from leadership. You must be able to pivot from a long-term project to a 30-minute deep-dive to answer a pressing business question.
  • Cross-Departmental Projects: Manage a rotating queue of projects from different teams. One day you're helping Finance with billing reconciliation; the next, you're helping Support track ticket deflection.
Curiosity & Experimentation
  • Stay Hungry: Constantly look for better ways to visualize data or automate reporting. We want someone who asks "What if we tried this?" instead of just following a ticket.
  • AI Integration: Explore how AI features within the Power BI/Fabric ecosystem (like Copilot for Power BI) can be used to speed up our internal workflows.
Desired Skills and Experience:
  • Bachelor's degree required (Computer Science, Mathematics, Statistics, or related field preferred)
  • 3-5 years of experience in a data analytics, BI, or data engineering-adjacent role
  • Expert-level proficiency in Power BI, including advanced DAX, Power BI Service administration, and experience with Microsoft Fabric and/or Lakehouse architecture
  • Strong hands-on experience with cloud-based data platforms, including AWS (S3, Redshift) and/or Azure (Data Lake, Synapse)
  • Advanced SQL expertise with the ability to write complex queries across large, disparate, and legacy datasets
  • Demonstrated ability to identify trends, anomalies, and data quality issues proactively (strong analytical and statistical intuition)
  • Experience in logistics, sports/entertainment, or high-growth SaaS environments strongly preferred
  • Proficiency in Python or R for advanced data manipulation and analysis preferred
  • Portfolio or examples of impactful dashboard design that go beyond standard BI reporting (emphasis on storytelling and usability)
  • Comfortable working in fast-paced, in-office environments that require real-time collaboration and rapid iteration
  • Able to prioritize speed and business needs in time-sensitive situations, balancing "good enough now" vs. "perfect later"
  • Technically adaptable and resourceful, with the ability to quickly ramp on new tools across AWS, Azure, and emerging data technologies
TicketManager Highlights:
  • Compensation: $80,000-$100,000 base salary + Variable Compensation
  • Location: Calabasas, CA (HQ), New York City, NY, or Mesa, AZ
  • Reports to: COO
  • Work Expectations: Role is In-Office, Monday-Friday
  • Retirement: 401(k) & Company Match
  • Health Benefits: Medical, Dental, Vision & Chiropractic
  • Time Off: Unlimited PTO
  • Interview Process: Multistage interview process with senior leaders across TicketManager to ensure strong alignment on role scope and expectations.
  • Events: Quarterly live event credits (we practice what we preach!), monthly happy hours, and volunteering
  • Perks: Fun, collaborative, in-office culture at our HQ with catered lunches and big company perks with the autonomy of a high-growth startup.
  • Recognition: Inc. 5000 fastest-growing private company by Inc. Magazine six years in a row. Recognized as one of the Best Places to Work by Inc. Magazine, The LA Business Journal, and Sports Business Journal
  • 4.5 out of 5 Glassdoor rating
  • Used by over 4,000 globally known companies including ~15% of the Fortune 500

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