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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

Senior Data Scientist

Beaverton, OR · On-site

Using big data, advanced analytics, and innovative technology, we strive to ensure that Nike gets the right products to the right place at the right time for the consumers. WHO WE ARE LOOKING FOR We ...

Quince

Staff Data Analyst-Returns

OR · On-site +1

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 ...

Alumni Ventures

Staff Data Analyst

Palo Alto, CA · On-site

$207 - $235/hr

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 ...

New

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 ...

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

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 ...

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 ...

Nike

Lead Technical Product Manager

Beaverton, OR · On-site

$173K - $200K/yr

LEAD, TECHNICAL PRODUCT MANAGER - 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 ...

Nike

Lead Technology Asset Management

Beaverton, OR · On-site

Maintain accurate asset data within ServiceNow HAM Pro, ServiceNow SAM Pro and the CMDB ensuring ... Nike's global locations. * Lead the implementation of automation and analytics tools to enhance ...

Nike

Lead, Apparel and Textile Quality Engineer

Beaverton, OR · On-site

$74K - $96K/yr

Experience using production quality data, dashboards, or analytics to improve visibility, support ... You will connect Nike's standards, tools, assessments, methodologies, and data discipline to ...

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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 21, 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 is a Nike data analyst?

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.

What does a Nike data analyst do?

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.

What are the key skills and qualifications needed to thrive as a Nike data analyst?

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.

Does Nike use data analytics?

Nike data analysts work with data analytics to improve product development, marketing, and supply chain efficiency. The company relies on data tools and techniques such as predictive modeling and consumer insights to inform business decisions.

How do you become a Nike Data Analyst?

To become a Nike Data Analyst, candidates typically need a bachelor's degree in fields like data science, statistics, or related areas, along with strong analytical skills and proficiency in tools such as Excel, SQL, and data visualization software. Relevant experience in data analysis or a related role is often required, and some positions may prefer knowledge of programming languages like Python or R. Gaining certifications in data analysis or business intelligence can also enhance prospects.
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Nike Data Analyst jobs near you
Infographic showing various Nike Data Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid 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

Re-posted 1 hour 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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