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Senior Football Data Analytics Jobs in Rutherford, NJ

Garner Health

Senior Data Analyst

New York, NY

$167K - $200K/yr

You will own our financial ROI model, the product analytics, & the data analytics strategy for a ... senior stakeholders * Deep expertise in value-based care, population health, or clinical risk ...

Guru Schools

Senior Data Analyst

Irvington, NY · On-site

$89K - $112K/yr

Data Analyst Senior Location: 4 Irving Place, NYC (Hybrid - onsite required) Duration: 12-Month ... Analytics • Data Structures • NLP experience • A/B Testing experience • Experience with ...

VAST Data

Senior Product Data Analyst

Manhattan, NY · On-site +1

$94K - $119K/yr

With a focus on product usage analytics of the VAST AI Operating System, the ideal candidate has a ... The Senior Product Data Analyst will manage multiple stakeholders and present to executive and non ...

Guidehouse

Data Analytics Consultant

New York, NY

$65K - $108K/yr

As a Consultant you will have the daily responsibility to analyze client data and generate project ... You will also assist senior team members with tasks related to divisional growth such as proposals ...

YMCA

Senior Data Analyst (association Office)

Manhattan, NY · On-site

$82K - $87K/yr

The Senior Data Analyst will support the RES and CCI departments with data management and reporting ... Bachelor's Degree in data analytics, statistics, public policy, or a related field, or equivalent ...

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All JobsSenior Football Data Analytics JobsSenior Football Data Analytics Jobs in Rutherford, NJ

Senior Football Data Analytics information

See Rutherford, NJ salary details

$45.9K

$116.7K

$171.8K

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

As of Jun 9, 2026, the average yearly pay for senior football data analytics in Rutherford, NJ is $116,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $137,600.00 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.

What job categories do people searching Senior Football Data Analytics jobs in Rutherford, NJ look for? The top searched job categories for Senior Football Data Analytics jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Senior Football Data Analytics jobs? Cities near Rutherford, NJ with the most Senior Football Data Analytics job openings:
Senior Football Data Analytics jobs near you
Manager, Data Analytics & Forecasting

Manager, Data Analytics & Forecasting

Dow Jones & Company, Inc.

Manhattan, NY • On-site

Full-time

Medical, Retirement, PTO

Posted 7 days ago

Dow Jones rating

8.8

Company rating: 8.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

2nd of 17 rated publishing

Job description

Job Description:
Manager, Consumer Data Analytics & Forecasting
Dow Jones New York, NY Job ID 52796
About the Role:
The Dow Jones Data Science team is looking for a Data-driven Analytics & Insights Manager with a strong foundation in statistics, experimentation, and marketing analytics, known for turning complex data into clear, actionable strategies that drive measurable revenue growth, profitability, and customer lifetime value. Expert at partnering with marketing, product, and finance to define the right questions, design robust analyses and tests, and translate findings into decisions that move key KPIs. Comfortable working across large, messy datasets and modern analytics stacks, with a track record of building scalable reporting, forecasting, and insight frameworks that improve decision quality at all levels of the organization
You Will:
  • Revenue-focused analytics: Connects data work directly to business outcomes → conversion, retention, ARPU, CLV, ROAS, payback
  • Statistical rigor: Hands-on with hypothesis testing, experiment design, regression, segmentation, forecasting, and causal inference concepts.
  • Subscription & growth analytics: Deep experience measuring and optimizing campaigns, business strategies, funnels, pricing, and personalization across channels.
  • Storytelling with data: Distills complex analyses into simple narratives and visuals that influence senior stakeholders and drive decisions.
  • Roadmapping & prioritization: Builds clear analytics roadmaps aligned to business priorities
  • Team leadership: Coaches analysts, sets standards for quality and speed, and creates a culture of curiosity and impact.

You Have:
  • Bachelor's or Master's degree in Economics, Finance, Data Science, Marketing Analytics, or equivalent experience.
  • 7-10 years of experience in Marketing Analytics focused on the Media Industry
  • Advanced proficiency in statistics and experimentation (A/B testing, hypothesis testing, regression, segmentation, forecasting, causal inference) to support confident decision-making.
  • Hands-on experience building KPI frameworks, measuring success of business strategies , scalable dashboards and forecasting models that improve visibility into performance and enable proactive course correction.
  • Advanced proficiency in Python, R , SQL, Excel, and other statistical tools
  • Strong communication skills, including experience presenting to senior stakeholders
  • Ability to work under tight deadlines

Our Benefits
  • Comprehensive Healthcare Plans
  • Paid Time Off
  • Retirement Plans
  • Comprehensive Insurance Plans
  • Lifestyle Programs & Wellness Resources
  • Education Benefits
  • Family Care Benefits & Caregiving Support
  • Commuter Transit Program
  • Subscription Discounts
  • Employee Referral Program
  • Financial Health Programs
  • Cybersecurity Protection

Learn more about all our US benefits
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets
Reasonable Accommodation
We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.
Business Area:
Dow Jones - Marketing
Job Category:
Data Analytics/Warehousing & Business Intelligence
Union Status:
Non-Union role
Base Pay Range: 110,000.00 - 140,000.00
We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors.
For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.
For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.

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