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Senior Football Data Analytics Jobs in Delaware (NOW HIRING)

What You'll Contribute As the Senior Associate, Data Analytics, you will support our analytics initiatives, working closely with the analytics team to gather and analyze data, generate insights, and ...

What You'll Contribute As the Senior Associate, Data Analytics, you will support our analytics initiatives, working closely with the analytics team to gather and analyze data, generate insights, and ...

What You'll Contribute As the Senior Associate, Data Analytics, you will support our analytics initiatives, working closely with the analytics team to gather and analyze data, generate insights, and ...

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Senior Football Data Analytics information

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 are popular job titles related to Senior Football Data Analytics jobs in Delaware?

For Senior Football Data Analytics jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Senior Football Data Analytics jobs in Delaware look for?

The top searched job categories for Senior Football Data Analytics jobs in Delaware are:

What cities in Delaware are hiring for Senior Football Data Analytics jobs?

Cities in Delaware with the most Senior Football Data Analytics job openings:

Infographic showing various Senior Football Data Analytics job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Quant Analytics Senior Associate - Card Data Analytics

JPMorgan Chase & Co.

Wilmington, DE • On-site

$120 - $160/hr

Other

Posted 29 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

Job Summary

You’ll join the Card Data & Analytics team, a strategic partner to the Card organization using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, you’ll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Chase Card portfolio.

As a Quantitative Analytics Senior Associate at JPMorganChase within the Card Data & Analytics organization, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will assess portfolio performance to uncover optimization opportunities and translate customer behavioral data—including spend, payment, and engagement patterns—into insights that shape marketing strategies and enhance card profitability through targeted campaigns and product innovations. You’ll collaborate across marketing, product, finance, and risk to turn complex analyses into clear recommendations that influence resource allocation, campaign strategy, and portfolio management.

Job responsibilities
  • Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes

  • Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions

  • Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds

  • Conduct sophisticated analysis and deliver tactical and strategic insights across marketing, finance, and business functions using modern visualization and reporting tools

  • Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies

  • Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs

  • Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies

  • Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency

  • Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders

Required qualifications, capabilities and skills
  • Bachelor’s degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 3+ years of relevant experience, or an advanced degree with 2+ years of experience

  • Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels

  • Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives

  • Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation

  • Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms

  • Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data

  • Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives

  • Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions

  • Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences

Preferred qualifications, capabilities and skills
  • Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics

  • Demonstrated ability to influence prioritization and decisions through structured analytics storytelling and clear business recommendations

  • Experience working with cross-functional partners in marketing, product, finance, and risk to deliver measurable business outcomes

  • Experience identifying and scaling process improvements that enhance data quality, repeatability, and reporting efficiency

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