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Associate Nfl Data Analyst Jobs in Chicago, IL (NOW HIRING)

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This ...

... an Associate's degree in Computer Science, Information Systems, Business, or a directly related field, plus two (2) years of data analysis work experience . OR Graduation from an accredited college ...

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery ... Associates L.P. pursues a policy of equal opportunity in all areas of employment including ...

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... We strive to build an environment where our associates are in the driver's seat of their ...

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... We strive to build an environment where our associates are in the driver's seat of their ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... We strive to build an environment where our associates are in the driver's seat of their ...

Senior Data Analyst

Chicago, IL

$88K - $111K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... We strive to build an environment where our associates are in the driver's seat of their ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... We strive to build an environment where our associates are in the driver's seat of their ...

Responsible for the quality, accuracy of results and delivery of analytics * Evaluates data quality issues and identifies potential exceptions or inefficient practices for root causes. Proposes ...

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Associate Nfl Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do associate nfl data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for associate nfl data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What is the difference between Associate Nfl Data Analyst vs Data Analyst?

AspectAssociate Nfl Data AnalystData Analyst
Required CredentialsBachelor's degree in sports management, statistics, or related field; knowledge of NFL data systemsBachelor's degree in statistics, data science, or related field; proficiency in data analysis tools
Work EnvironmentSports teams, NFL organizations, sports analytics firmsVarious industries including finance, healthcare, marketing, and sports
Employer & Industry UsagePrimarily in NFL and sports industryAcross multiple sectors including sports, business, and technology

The main difference is that an Associate NFL Data Analyst specializes in NFL-specific data within the sports industry, often requiring knowledge of NFL systems and sports analytics. A Data Analyst has a broader scope, working across various industries with general data analysis skills. Both roles require similar educational backgrounds but differ in industry focus and specific expertise.

How much do NFL data analysts make?

NFL data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and the level of responsibility. Entry-level positions may start lower, while experienced analysts with specialized skills in data visualization and statistical software can earn higher salaries.

How to become an associate NFL data analyst?

To become an associate NFL data analyst, candidates typically need a bachelor's degree in fields like statistics, data science, or sports management. Strong skills in data analysis tools such as SQL, Excel, and programming languages like Python or R are essential, along with knowledge of football metrics and statistics. Gaining experience through internships or entry-level roles in sports analytics can also improve prospects.

Do NFL teams hire associate NFL data analysts?

Many NFL teams hire associate data analysts to support player performance analysis, game strategy, and operational decisions. These roles often require skills in data management, statistical software, and sports analytics tools, with some positions available through team job postings or sports industry job boards.

What are the most commonly searched types of Nfl Data Analyst jobs in Chicago, IL?

The most popular types of Nfl Data Analyst jobs in Chicago, IL are:

What job categories do people searching Associate Nfl Data Analyst jobs in Chicago, IL look for?

The top searched job categories for Associate Nfl Data Analyst jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Associate Nfl Data Analyst jobs?

Cities near Chicago, IL with the most Associate Nfl Data Analyst job openings:

Full-time

Re-posted 5 days ago


Job description

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders to enable trusted, well governed data that improves transparency, efficiency, and outcomes.

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This role partners cross functionally to design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, and self-service initiatives by ensuring data is consistently modeled, documented, governed and aligned with operational risk, audit, and regulatory expectations. Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding of investment management data domains and thrives in a collaborative, agile environment.

Responsibilities:

  • Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs 
  • Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions
  • Execute high-impact, cross-functional data initiatives from requirements through delivery
  • Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions
  • Lead BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and well-documented dataservice analytics initiatives by ensuring consistent, wellmodeled, and welldocumented data
  • Champion enterprise data governance by upholding and evolving data standards, definitions, and stewardship practices
  • Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes
  • Ensure data processes align with operational risk, audit, and regulatory expectations
  • Participate in firm-wide initiatives such as system implementations and data integrations
  • Drive agile planning, backlog refinement, and prioritization of Data Ops initiatives
  • Foster strong cross-functional relationships and promote a culture of collaboration, accountability and continuous improvement 

Qualifications:

  • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field
  • 5+ years of experience in investment management, financial services, or a data-intensive operations environment
  • Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau)
  • Advanced proficiency with SQL and Python
  • Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value
  • Demonstrated ability to analyze data issues, identify root causes, and drive crossfunctional resolution
  • Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities
  • Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and present findings and recommendations to senior leadership
  • Demonstrated proficiency with Agile methodology and project management practices
  • Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus