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Internship Football Data Analyst Jobs in Bronx, NY

Accenture

Data Protection Sr. Analyst

New York, NY · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

BERJE INCORPORATED

Data Warehouse Analyst

Carteret, NJ · On-site

Help prepare datasets for internal reporting and analytics. * Support teams with data extracts and ... Internship or academic experience with databases a + * Experience withAzure SQL Database / Azure ...

Actian

RevOps AI Analyst Intern

Manhattan, NY · On-site +1

Synthesize complex data findings into a compelling narrative for the Internship Showcase ... BI & Analytics: Familiarity with Business Intelligence tools (e.g., Tableau, Power BI, or Looker ...

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$43

How much do internship football data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship football data analyst in Bronx, NY is $23.44, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.53 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Football Data Analyst, you need a solid understanding of statistics, football tactics, and data analysis, often supported by coursework or a degree in fields like statistics, sports science, or data analytics. Familiarity with tools such as Excel, Python, R, and football analytics platforms like Wyscout or Opta is typically expected. Strong attention to detail, problem-solving abilities, and effective communication help you interpret data insights and present findings to coaches or management. These skills are vital to providing actionable insights that can enhance team performance and strategic decision-making.

What are the typical responsibilities of an Internship Football Data Analyst on a day-to-day basis?

As an Internship Football Data Analyst, you can expect to spend your days collecting and cleaning match data, creating visualizations to highlight player or team performance, and supporting senior analysts with research projects. You'll likely use tools such as Excel, Python, or specialized sports analytics software to manage and interpret large datasets. Collaboration is key—you'll often work closely with coaches, scouts, and other analysts to translate your findings into actionable insights. This hands-on experience not only hones your technical skills but also deepens your understanding of the football industry’s analytical needs.

What does an Internship Football Data Analyst do?

An Internship Football Data Analyst assists in collecting, processing, and analyzing football-related data to help coaches, scouts, and management make informed decisions. They work with tools like Excel, SQL, and specialized sports analytics software to create reports and visualize performance trends. Interns may also help track player statistics, review match footage, and contribute to tactical analysis. This role provides hands-on experience in sports analytics and is a valuable stepping stone for a career in football data analysis.
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Internship Football Data Analyst jobs near you
Financial Analyst - Enterprise Data Sales Finance

Financial Analyst - Enterprise Data Sales Finance

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Financial Analyst - Enterprise Data Sales Finance
Location
New York
Business Area
Accounting and Finance
Ref #
10051420
Description & Requirements
We are seeking a highly motivated finance professional to support the Enterprise Data business. This role will play a critical part in delivering financial insights, supporting strategic decision-making, and producing high-quality analysis and reporting for senior stakeholders.
The ideal candidate combines strong financial acumen, analytical rigor, and the ability to translate complex data into clear, actionable insights to drive performance across the Enterprise Data portfolio.
Key Responsibilities
• Own and enhance forecasting and pipeline models specific to the Enterprise Data business, ensuring accuracy and actionable insights.
• Develop quantitative financial analyses to support strategic initiatives, pricing decisions, and growth opportunities within Enterprise Data.
• Support financial planning processes, including quarterly forecasts, annual operating plans (AOP), and long-range planning for Enterprise Data.
• Produce executive-ready reporting and presentations focused on Enterprise Data performance, trends, and key drivers.
• Translate complex financial and sales data into clear business insights and recommendations.
• Establish and track KPIs to measure performance across Enterprise Data products and client segments.
• Partner closely with Enterprise Data sales leadership and cross-functional stakeholders to support commercial strategy and execution.
• Perform variance analysis and ensure consistent financial reporting and controls across the Enterprise Data business.
• Drive continuous improvement in Enterprise Data reporting, forecasting methodologies, and analytics capabilities.
Qualifications & Experience
• 4-8+ years of relevant finance experience, preferably supporting a data, subscription, or sales-driven business.
• Strong financial modeling and analytical skills with experience in forecasting and performance analysis.
• Proven ability to create executive-level materials and communicate insights clearly.
• High attention to detail with strong ownership mindset.
• Ability to work independently and manage multiple priorities.
• Experience with data visualization and analytics tools (e.g., Excel, Qlik, Power BI, or similar).
Key Attributes
• Data-driven problem solver with strong business judgment.
• Comfortable navigating ambiguity and translating it into structured insights.
• Collaborative partner with strong stakeholder management skills.
• Effective communicator who can influence decisions without formal authority.
• Proactive with a continuous improvement mindset.
Salary Range = 85,000 - 120,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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