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Senior Football Data Analytics Jobs (NOW HIRING)

Vika Talent Solutions

Senior Data Analytics

Tampa, FL · On-site

Position Summary We are seeking a Data Science Manager to drive marketing performance through advanced analytics, predictive modeling, and data-driven insights. This role will partner with Marketing ...

New

ONE

Data Analytics

$130K - $170K/yr

You understand credit risk analysis is more than just data: you take a comprehensive point-of-view ... Share business insights and product enhancement recommendations to senior leadership and ...

New

Salesforce, Inc.

Data Analytics Senior Analyst

Chicago, IL

$88K - $111K/yr

Data Analytics Senior Analyst will be a crucial member of a high-performance team, Attrition Insights Center of Excellence (CoE), the source of truth for renewals and attrition data & analytics at ...

RWE

Data Analytics Lead

Austin, TX · On-site

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Collaborate with the Sr. Manager and analytics team to improve data workflows and efficiency. * Cross-Functional Collaboration * Work closely with product, finance, and strategy teams to align ...

Stbancorp

$48K - $115K/yr

The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and analytical needs of their designated business partners. Delivers solutions including reporting ...

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... We do this in three ways data analytics, data diligence, and fractional data science. Our clients ...

Samsung SDS

Data analytics architect

San Jose, CA

We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide ...

Samsung SDS

Data analytics architect

San Jose, CA

We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide ...

KEEN

Sr. Director, Data & Analytics

Portland, OR · On-site

The Senior Director, Data & Analytics is responsible for shaping KEEN's data vision and transforming the organization into a data-driven and AI-enabled business, leading analytics initiatives across ...

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All JobsFootball Data Analytics JobsSenior Football Data Analytics Jobs

Senior Football Data Analytics information

See salary details

$45K

$114.5K

$168.5K

How much do senior football data analytics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior football data analytics in the United States is $114,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $135,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Football Data Analyst, and why are they important?

To thrive as a Senior Football Data Analyst, you need advanced statistical analysis skills, a strong understanding of football tactics, and a relevant degree in data science, statistics, or a related field. Proficiency with programming languages like Python or R, experience using analytics platforms such as Tableau, and familiarity with football data providers (e.g., Opta or StatsBomb) are essential. Strong communication, critical thinking, and the ability to collaborate with coaching staff and technical teams are important soft skills. These abilities are crucial for translating complex data into actionable insights that drive tactical decisions and enhance team performance.

How does a Senior Football Data Analyst typically collaborate with coaching staff and scouts to influence team strategy?

A Senior Football Data Analyst works closely with coaches and scouts by translating complex data into actionable insights that inform tactical decisions and player development. They attend regular strategy meetings, present performance reports, and provide data-driven recommendations on opponents, player fitness, and recruitment. Effective communication skills are essential, as analysts must bridge the gap between technical analytics and practical on-field decisions. This collaborative approach ensures that analytical findings are integrated into the team's overall strategy and day-to-day preparation.

What is a Senior Football Data Analyst?

A Senior Football Data Analyst is a professional who leverages advanced statistical and analytical methods to interpret football data, helping teams make informed decisions on player performance, tactics, and recruitment. They work closely with coaches, scouts, and management to analyze match data, player statistics, and other metrics. Their insights support strategy development, talent identification, and optimization of team performance. Senior analysts often lead analytics teams and contribute to the development of data-driven decision-making processes within football organizations.

What is the difference between Senior Football Data Analytics vs Football Data Analyst?

AspectSenior Football Data AnalyticsFootball Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Sports Analytics, or related fields; experience preferredBachelor's degree in Data Science, Sports Management, or related fields; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within sports organizations or analytics firmsTypically focused on data collection, analysis, and reporting under supervision, often within sports teams or analytics companies
Employer & Industry UsageUsed by professional sports teams, analytics firms, and sports media companies for strategic decision-makingCommonly employed by sports teams, media outlets, and analytics agencies for performance analysis

In summary, Senior Football Data Analytics involves higher-level responsibilities, leadership, and strategic planning, requiring more experience and advanced skills compared to Football Data Analyst, which focuses on data processing and reporting at an entry or mid-level.

More about Senior Football Data Analytics jobs
What cities are hiring for Senior Football Data Analytics jobs? Cities with the most Senior Football Data Analytics job openings:
What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
What states have the most Senior Football Data Analytics jobs? States with the most job openings for Senior Football Data Analytics jobs include:
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Senior Football Data Analytics jobs near you
Infographic showing various Senior Football Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $114,472 per year, or $55 per hour.

Senior Data Analytics Architect

INFT Solutions Inc

Southlake, TX

$63.25 - $84.75/hr

Contractor

Posted 3 days ago

Job description

Role: Senior Data Analytics Architect 15+ Years Needed 

Location: Southlake, TX / Austin, TX (100% Onsite) - No flexibility

Mandatory Skills 

· 15+ years in Data Architecture, Data Analytics, Data governance, and Data Warehousing and architectural thought leadership 

· Proven experience with data strategy, roadmap, and end-to-end data landscape 

· Strong hands-on experience with GCP, especially Big Query 

· Expertise in Informatica IDMC 

· Advanced Complex SQL and Python skills 

· Experience designing enterprise data warehouse & analytics solutions

· Ability to support and guide development and production systems 

· Strong business, communication, and stakeholder management skills 

· GCP Certification (Professional Data Engineer / Cloud Architect) 

Good to Have Skills 

· Experience with GCP Pub/Sub and Cloud Composer 

· Exposure to AI/ML ready data architectures 

· BQ Data Modeling and EDC 

· Cloud cost optimization experience 

· Consulting or large enterprise experience 

· Exposure to security and compliance frameworks in enterprise data platforms