1

Espn Analytics Jobs (NOW HIRING)

Showing results 41-60

Espn Analytics information

See salary details

$129.5K

$140K

$148.5K

How much do espn analytics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for espn analytics in the United States is $139,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,000.00 and $145,000.00 per year, depending on experience, location, and employer.

What is an ESPN Analytics?

An ESPN Analytics job involves using data analysis, statistical modeling, and machine learning to provide insights that enhance sports coverage, team performance, and fan engagement. Analysts work with large datasets to generate predictive models, player evaluations, and game strategies. They collaborate with journalists, broadcasters, and product teams to integrate data-driven storytelling and visualizations into ESPN's content.

What are the typical responsibilities of an ESPN Analytics?

Professionals in ESPN Analytics often work on projects like building predictive models for game outcomes, generating advanced player statistics, and developing real-time data visualizations used on live broadcasts and digital platforms. Daily responsibilities may include cleaning and analyzing large sports datasets, collaborating with editorial teams to identify compelling stories, and presenting complex findings to stakeholders across the organization. Team members frequently work cross-functionally with engineers, product managers, and content creators, making strong communication and collaboration skills essential. The fast-paced, dynamic environment ensures that no two days are exactly alike, offering continuous opportunities to learn and innovate.

What are the key skills and qualifications needed to thrive in the ESPN Analytics position?

To thrive in ESPN Analytics, you need strong quantitative and statistical analysis skills, a background in data science, mathematics, or a related field, and a passion for sports analytics. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau is highly valued, along with experience in sports data modeling. Exceptional communication, teamwork, and problem-solving abilities are important soft skills for translating complex data into actionable insights for both technical and non-technical audiences. These capabilities are crucial for driving data-driven decisions in a fast-paced sports media environment.

How do you become an ESPN analyst?

To become an ESPN analyst, candidates typically need a strong background in sports journalism, broadcasting, or related fields, along with experience in sports reporting or commentary. Developing expertise in specific sports, building a portfolio, and gaining on-air experience are important steps, often complemented by relevant certifications or degrees in communications or journalism.
More about Espn Analytics jobs

What cities are hiring for Espn Analytics jobs?

Cities with the most Espn Analytics job openings:

What are the most commonly searched types of Espn Analytics jobs?

The most popular types of Espn Analytics jobs are:

What states have the most Espn Analytics jobs?

States with the most job openings for Espn Analytics jobs include:

What job categories do people searching Espn Analytics jobs look for?

The top searched job categories for Espn Analytics jobs are:

Infographic showing various Espn Analytics job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $139,999 per year, or $67.3 per hour.

Principal Software Development Engineer in Test

Disney Entertainment and ESPN Product & Technology

Manhattan, NY โ€ข On-site

$148K - $198K/yr

Full-time

Re-posted 2 days ago


Job description

Disney Entertainment and ESPN Product & Technology 

Technology is at the heart of Disneyโ€™s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more โ€“ all working to build and advance the technological backbone for Disneyโ€™s media business globally. 

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.โ€ฏWe are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Companyโ€™s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.โ€ฏ 

 
Here are a few reasons why we think youโ€™d love working here: 

  • Building the future of Disneyโ€™s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. 
  • Reach, Scale & Impact: More than ever, Disneyโ€™s technology and products serve as a signature doorway for fans' connections with the companyโ€™s brands and stories. Disney+. Hulu. ESPN. ABC. ABC Newsโ€ฆand many more. These products and brands โ€“ and the unmatched stories, storytellers, and events they carry โ€“ matter to millions of people globally.โ€ฏ 
  • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. 

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality engineering, and the engineering behind personalization, commerce, lifecycle, and identity. 

Job Summary:

The DEEP & Technology team is seeking a visionary Principal Software Development Engineer in Test (SDET) to spearhead quality engineering across our streaming, data and advertising systems. As a trusted engineering leader and technical authority, you will set the strategic direction for automation, quality practices, and test architectures organization-wide. You will partner cross-functionally to align quality strategy with company objectives, lead innovation in automated testing processes, and ensure our systems robustly deliver relevant and reliable products to all viewers. Your decisions and leadership will have a substantial impact on revenue, user experience, and operational efficiency.

Ideal candidates are highly proactive, influential, and passionate about transforming quality engineering through cutting-edge technology and thought leadership.

Responsibilities:

Strategic Quality Leadership

  • Define and drive the vision, strategy, and roadmap for test automation and quality engineering across multiple business units and product lines.
  • Influence organizational decisions regarding test architecture, process improvements, and adoption of modern testing paradigms (shift-left, CI/CD, observability, etc.).
  • Establish and maintain enterprise-wide standards for quality, automation, and operational excellence in collaboration with executive stakeholders.
  • Own the end-to-end quality strategy for large-scale, business-critical projects, including test metrics, release criteria, and automation objectives.

Architecture & Technical Authority

  • Lead the architecture of scalable, resilient, and cloud-native test automation solutions that empower teams and improve defect prevention.
  • Make high-impact technical decisions on frameworks, toolsets, and integrations to enable richer and more effective testing.
  • Oversee technical reviews, mentorship, and hands-on guidance in complex areas such as distributed systems, data pipelines, and ad technologies.
  • Partner with Platform Architects and DevOps to ensure seamless integration of quality gates and automated validation throughout deployment pipelines

Cross-Functional Influence & Mentorship

  • Serve as a coaching resource to SDETs, engineers, and leadership, regularly conducting technical deep-dives, training, and knowledge-sharing sessions.
  • Build consensus across product teams for standardization of test tools, frameworks, and reusable components.
  • Facilitate root cause analysis for high-severity incidents, drive preventative and corrective actions, and communicate technical findings to senior leadership.
  • Represent DEEP & Technology quality interests within company-wide engineering and business forums.

Program Management & Delivery Excellence

  • Lead delivery of multiple concurrent, cross-team testing initiatives in fast-paced Agile environments.
  • Manage test budgets, resource allocation, roadmap goals, and risk mitigation strategies across programs.
  • Ensure rigorous governance over traceability, compliance, and test reporting, supporting company-wide accountability.
  • Continuously identify bottlenecks and drive organization-wide solutions to improve efficiency, coverage, and reliability.

Innovation & Continuous Improvement

  • Champion research and adoption of emerging technologies (AI/ML in testing, autonomous testing, advanced observability, etc.) to keep test practices ahead of industry standards.
  • Define and track advanced quality metrics (escape rates, flakiness, system reliability), implementing data-driven improvements.
  • Lead efforts to mature organizationโ€™s quality posture in performance, security, and reliability engineering.
  • Inspire a culture of innovation, experiment with new tools and practices, and help set the direction for the future of engineering quality.

Minimum Qualifications:

  • Minimum of 10 years experience in quality engineering, automation, or software development, with recent leadership responsibilities in large, complex engineering environments
  • Passion around driving best practices in the testing space
  • Knowledge of software engineering practices and agile approaches
  • Strong desire for establishing and improving product quality
  • Proven expertise architecting and scaling test automation for distributed, cloud-native systems
  • Track record of influencing enterprise strategy and leading transformation initiatives
  • Advanced proficiency with Python or modern OO languages; experience with ad-tech or large-scale systems is a plus
  • Willingness to take challenges head on while being part of a team
  • Strong communication, stakeholder management, and mentoring skills
  • Bachelor's degree, preferably in Computer Science or related field (or equivalent work experience)
    #disneytech

The hiring range for this position in California is $171,600 - $230,100 per year and in New York is $179,700 - $241,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidateโ€™s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.