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Sports Analytics Jobs in Federal Way, WA (NOW HIRING)

Marketing Manager

Kent, WA · On-site

$85K - $110K/yr

Proficiency using AI-powered tools to enhance productivity, creative development, content generation, analytics, and overall marketing effectiveness. * Passion for sports and understanding of athlete ...

Marketing Manager

Kent, WA · On-site

$85K - $110K/yr

Proficiency using AI-powered tools to enhance productivity, creative development, content generation, analytics, and overall marketing effectiveness. * Passion for sports and understanding of athlete ...

Marketing Manager

Kent, WA · On-site

$85K - $110K/yr

Proficiency using AI-powered tools to enhance productivity, creative development, content generation, analytics, and overall marketing effectiveness. * Passion for sports and understanding of athlete ...

Computer Systems Analyst

Seattle, WA · On-site

$85K - $108K/yr

About the job Sleeper is the leading platform to connect friends over sports - sports fans can ... Delivering these reliably requires someone who can analyze product and business requirements ...

Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

Position Summary The Manager, Marketing Analytics will build the marketing analytics function within the Stanley 1913 organization. This role includes owning frameworks, narratives, and reporting ...

Position Summary The Manager, Marketing Analytics will build the marketing analytics function within the Stanley 1913 organization. This role includes owning frameworks, narratives, and reporting ...

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Showing results 1-20

Sports Analytics information

See Federal Way, WA salary details

$72K

$140K

$199.9K

How much do sports analytics jobs pay per year?

As of Sep 1, 2026, the average yearly pay for sports analytics in Federal Way, WA is $139,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $166,400.00 per year, depending on experience, location, and employer.

What is sports analytics?

Sports analytics is a field of applied statistics that uses past performance data to provide a competitive advantage to a team or individual player. By using data, an analyst can make suggestions on strategies for a given game, monitor the performance of a player, and provide quick analysis of potentially record-setting activities. Sports analytics focuses on two areas: on-field and off-field. The on-field analysis helps improve the tactics and fitness of players, while the off-field analysis focuses on the business and merchandising aspect of sports. Sports analytics is also used in sports gambling to help casinos and similar companies decide on which odds to offer to customers.

What is sports analytics?

Sports analytics refers to the use of data and statistical methods to analyze athletic performance, strategies, and business operations within the sports industry. Professionals in this field collect and interpret data to help teams make informed decisions about player recruitment, game tactics, injury prevention, and fan engagement. The insights gained from sports analytics can provide a competitive edge and drive improvements both on and off the field. With advances in technology, the scope of sports analytics has expanded to include machine learning, video analysis, and wearable devices.

What are the key skills and qualifications needed to thrive as a sports analyst, and why are they important?

To thrive as a Sports Analyst, you need strong statistical analysis skills, a solid understanding of sports rules and strategies, and often a degree in statistics, data science, or a related field. Familiarity with analytics software such as R, Python, SQL, and sports-specific databases is typically expected. Attention to detail, critical thinking, and effective communication help interpret complex data and present actionable insights to coaches and teams. These capabilities are vital for making data-driven decisions that improve team performance and competitive edge.

How does a sports analytics professional typically collaborate with coaches and athletes to influence game strategies?

Sports analytics professionals work closely with coaches and athletes by providing data-driven insights that inform tactical decisions and player development. They often translate complex statistical findings into actionable recommendations, such as identifying strengths and weaknesses or optimizing lineups. Effective collaboration requires strong communication skills and the ability to tailor analyses to the team's goals, ensuring that data supports real-time decision-making and long-term strategy. Regular meetings, presentations, and feedback sessions are common to ensure alignment between analytics staff and on-field personnel.

What is the difference between Sports Analytics vs Sports Data Analyst?

AspectSports AnalyticsSports Data Analyst
CredentialsDegree in statistics, data science, sports managementDegree in statistics, data science, sports management
Work EnvironmentResearch, modeling, strategic planning in sports organizationsData collection, analysis, reporting for teams and organizations
Industry UsageUsed for performance optimization, game strategy, player evaluationUsed for data reporting, insights, and performance tracking

Sports Analytics and Sports Data Analysts share similar educational backgrounds and work environments, focusing on data-driven decision making in sports. While Sports Analytics often involves developing models and strategic insights, Sports Data Analysts primarily focus on collecting and reporting data. Both roles are essential in sports organizations, but Sports Analytics tends to have a broader scope in strategic planning and predictive modeling.

How do I get into sports analytics?

To pursue a career in sports analytics, develop strong skills in statistics, data analysis, and programming languages such as Python or R. Gaining experience through internships, building a portfolio of projects, and understanding sports data sources can improve your prospects; a background in sports management or related fields is also beneficial.

What are careers in sports analytics?

Careers in sports analytics involve analyzing data to evaluate player performance, team strategies, and game outcomes. Professionals typically use statistical software, programming languages like Python or R, and possess strong knowledge of sports and data analysis techniques. Common roles include sports analyst, data scientist, and performance analyst, often requiring a background in statistics, computer science, or related fields.

Will sports analytics jobs be replaced by AI?

Sports analytics jobs involve analyzing data to inform team strategies and player performance, requiring skills in statistics, programming, and domain knowledge. While AI tools can automate data processing and generate insights, human expertise remains essential for interpreting results and making strategic decisions, so these roles are likely to evolve rather than be fully replaced.

What cities near Federal Way, WA are hiring for Sports Analytics jobs?

Cities near Federal Way, WA with the most Sports Analytics job openings:

Infographic showing various Sports Analytics job openings in Federal Way, WA as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $139,956 per year, or $67.3 per hour.

Senior Engineering Manager, Live Sports and Media Analytics

Apple

Seattle, WA • On-site

$195K - $338K/yr

Full-time

Medical, Dental, Retirement

Re-posted 24 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Apple Services is one of the fastest-growing businesses at Apple, delivering experiences across Apple TV+, Music, App Store, Arcade, Apple Pay, and more. Our Analytics Data Engineering team builds intelligent data systems that power insights across the services.
We are looking for an experienced Software Engineering Manager to lead our Live Sports and Media Analytics team - dedicated for building highly scalable, near real-time systems that process live sports data, video, and audio streams. These systems deliver actionable insights that power content production, marketing strategy, advertising, royalty payments, and partner reporting.
At Apple, our people do more than build products - they craft experiences that have reshaped industries. The diversity of our teams and their ideas fuels the innovation behind everything we create, from cutting-edge technology to meaningful environmental initiatives. Come help us make a lasting, positive impact on the world.
Description
As an engineering leader, you will play a pivotal role in shaping the future of Sports, Media analytics strategy and empowering a group of highly skilled engineers to innovate in this space. You will work closely with peer engineering teams, data scientists, and stakeholders to deeply understand their data needs and deliver innovative, high-impact solutions. ","responsibilities":"Define and drive technical strategy and roadmap for Live Sports and Media analytics
Provide technical leadership and guidance to the engineering team
Collaborate with cross-functional teams to define requirements
Architect and deliver highly scalable near real-time analytics systems
Partner with peers, quality engineering, SRE to deliver and operate high quality data solutions
Constantly measure and improve data quality, system reliability, performance and efficiency
Mentoring and developing engineering talent and their growth
Represent team vision and roadmap to senior leadership and lead through ambiguity
Foster innovation first inclusive engineering culture with strong accountability
Preferred Qualifications
Passion for mentoring and developing engineering talent
Experience in leading teams through large, open-ended projects with ambiguous requirements
Experience in delivering AIML and GenAI engineering projects at scale
Experience in building scalable stream analytics systems with one or more of Flink, Spark, Kafka, Iceberg, StarRocks
Experience in computer vision, video and audio stream processing with Open CV, VLM, Object Detection and Speech to Text
Minimum Qualifications
BS, MS, or PhD in Computer Science, Engineering, or equivalent experience
10+ years of software engineering experience, including 5+ years of leading engineering teams
Strong understanding of data engineering principles and best practices
Hands-on experience in architecting and delivering large-scale data engineering applications
Excellent communication, collaboration, and interpersonal skills, especially in cross-functional settings
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $195,700 and $338,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976