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Nike Data Analyst Jobs (NOW HIRING)

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

LEAD, DATA ENGINEER - NIKE [Beaverton, OR - USA] WHO YOU'LL WORK WITH Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and ...

Quince

Staff Data Analyst

Palo Alto, CA

Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike, and many others. The Opportunity ... The Ideal Candidate You are a highly analytical problem solver who is excited about using data ...

Nike

Business Analyst

Beaverton, OR · On-site

Business Analyst - NIKE RETAIL SERVICES INC.- Beaverton, OR. Responsible for all of the steps ... Data Visualization • Alteryx • ThoughtSpot Reporting Apply at www.Nike.com/Careers (Job# R ...

YipitData

OR

$85K - $108K/yr

An analyst here can own a data product end-to-end, from methodology to client delivery, and present ... Nike, Lululemon, and industry products tracking US consumer behavior and pricing. This team ...

YipitData

Senior Data Analyst

$88K - $111K/yr

An analyst here can own a data product end-to-end, from methodology to client delivery, and present ... Nike, Lululemon, and industry products tracking US consumer behavior and pricing. This team ...

Quince

OR

E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. THE IDEAL CANDIDATE The ideal candidate is a self-motivated problem-solver who excels at using data and analytics to optimize ...

Quince

Staff Data Analyst

Palo Alto, CA · On-site

$72K - $96K/yr

Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike, and many others. The Opportunity ... The Ideal Candidate You are a highly analytical problem solver who is excited about using data ...

Nike

Lead Process Analyst

Beaverton, OR · On-site

Lead Process Analyst - NIKE, Inc. - Beaverton, OR. Extract meaning from data using specialized computer systems to transform, organize, and model the data to draw conclusions and identify patterns ...

Quince

Staff Data Analyst-Returns

$63K - $83K/yr

E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. THE IDEAL CANDIDATE The ideal candidate is a self-motivated problem-solver who excels at using data and analytics to optimize ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Serve as an integral member of a multi-functional engineering teams that delivers solutions unlocking machine learning for Nike; analyze and profile data to uncover insights in support of scalable ...

Nike

Lead, Strategy Manager, Corporate

Beaverton, OR · On-site

... and Nike, Inc., brands. This role will: • Direct & execute analysis and due diligence for new ... Data analysis and financial modeling • Market analysis • Microsoft office suite (including ...

Nike

Lead, Trade and Customs

Beaverton, OR · On-site

$28.25 - $37.25/hr

Lead, Trade and Customs WHO YOU'LL WORK WITH Nike was founded on the benefits of global trade. The ... Support trade data, analytics, and capability-building initiatives that enable stronger insights ...

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Nike Data Analyst information

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$34K

$82.6K

$136K

How much do nike data analyst jobs pay per year?

As of Aug 1, 2026, the average yearly pay for nike data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nike Data Analyst position, and why are they important?

To thrive as a Nike Data Analyst, you need a strong foundation in quantitative analysis, data visualization, statistics, and a relevant degree such as in mathematics, statistics, business, or computer science. Familiarity with tools such as SQL, Python, R, Tableau, and experience with data warehouses or business intelligence platforms is typically expected. Strong problem-solving, communication, and cross-functional collaboration skills set top candidates apart. These abilities are critical for translating complex data into meaningful business insights that support Nike’s strategy and decision-making.

What is a Nike Data Analyst job?

A Nike Data Analyst is responsible for analyzing data to provide insights that drive business decisions. They work with large datasets, create reports, and develop dashboards to track key performance metrics. This role involves using analytical tools like SQL, Python, and Tableau to identify trends and opportunities. Data Analysts at Nike collaborate with teams across marketing, supply chain, and product management to optimize processes and improve efficiency. Strong problem-solving and communication skills are essential for translating data findings into actionable recommendations.

How do I become a sports data analyst?

To become a sports data analyst, you typically need a bachelor's degree in statistics, data science, sports management, or a related field. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of sports metrics and statistics. Gaining experience through internships or entry-level roles helps build relevant expertise in analyzing sports performance data.

What does a typical day look like for a Nike Data Analyst, and how do they interact with other teams?

As a Nike Data Analyst, your day often involves gathering, cleaning, and analyzing data to identify business trends or performance metrics relevant to Nike's goals. You’ll prepare reports and dashboards, present key findings to stakeholders, and provide actionable recommendations to business, marketing, and product teams. Collaboration is a big part of the role, as you'll frequently partner with engineers, product managers, and business strategists to ensure data-driven decisions. This environment supports ongoing growth and learning, as you engage with different aspects of Nike’s business and expand your analytics skill set.

Is it hard to get hired by Nike?

Getting hired as a Nike Data Analyst can be competitive due to the company's strong brand and high standards. Candidates typically need relevant experience, strong analytical skills, and proficiency with data tools like SQL and Excel. A solid educational background and a good understanding of the sportswear industry can also improve chances of selection.

How much does an analyst make at Nike?

A Nike data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and education. Entry-level analysts may start at lower salaries, while experienced professionals with specialized skills can earn higher compensation. Salary data can vary based on the specific role and responsibilities within the company.

Does Nike use data analytics?

Nike data analysts utilize data analytics to improve product development, marketing strategies, and customer experience. They often work with tools like SQL, Python, and data visualization software to analyze large datasets and support business decisions.
More about Nike Data Analyst jobs
What cities are hiring for Nike Data Analyst jobs? Cities with the most Nike Data Analyst job openings:
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Nike Data Analyst jobs near you
Infographic showing various Nike Data Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 9 days ago

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

Job description

LEAD, DATA ENGINEER - NIKE
[Beaverton, OR - USA]
WHO YOU'LL WORK WITH
Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.
We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.
  • Bachelor's degree or equivalent combination of education, experience, or training
  • 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark
  • Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
  • Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
  • Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Preferred qualifications:
  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments
  • Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)

WHAT YOU'LL WORK ON
You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.
  • Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I
  • Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
  • Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
  • Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
  • Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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