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Nike Data Analyst Jobs (NOW HIRING)

... data collection and analysis to design, manage and optimize the flow of data throughout the ... nike.com (Job# R-90232) #LI-DNI We offer a number of accommodations to complete our interview ...

Software Engineer II

Beaverton, OR · On-site

$101K - $138K/yr

Software Engineer II, Design Engineering - Nike WHO YOU WILL WORK WITH The Consumer Product ... Experience with implementing and integrating AI, Machine Learning and related data solutions a plus

Lead Innovation Engineer, Global Accessories

Beaverton, OR · On-site

$106K - $140K/yr

WHO YOU'LL WORK WITH This role sits within Nike's Accessories Innovation team, part of the broader ... They use data, testing, and athlete insight to guide decisions, and they communicate complex ideas ...

... cause analysis and cross-functional problem-solving. * Communicate with influence across Nike ... Data fluency - you have a high comfort level with numbers, find the root cause, and turn raw data ...

Senior Principal Software Engineer

Beaverton, OR · On-site

$130K - $180K/yr

Ensure alignment with Nike enterprise architecture, data, security, and compliance standards ... FP&A solutions * 10+ years of full lifecycle FP&A solution delivery experience (requirements ...

... Analysis Knowledge including Hard Goods and Footwear *(Physical and Field Testing) • End-End ... Data Communication Apply at www.jobs.nike.com ( Job# R-90233) #LI-DNI We offer a number of ...

Who You'll Work With You'll work across Nike Direct's operational ecosystem, partnering closely ... Analytical problem solving and data-driven decision making * Change management and large-scale ...

WHO YOU'LL WORK WITH You will work both within the Nike Planning function and across the broader ... You can build hypothesis & data driven analysis, translating insights into action through problem ...

... analysis, data mining, and source to target mapping. Creates and maintains complex context process and system diagrams. * Work with remote groups such as vendors, other Nike facilities, and or ...

... analytics and machine learning solutions that have a direct impact on the business; help design and ... Nike.com/Careers (Job # R-82625) #LI-DNI We offer a number of accommodations to complete our ...

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Nike Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do nike data analyst jobs pay per year?

As of Sep 12, 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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Infographic showing various Nike Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Lead Software Engineer

Beaverton, OR • On-site

Nike
Retail • 10K+ employees

Full-time

Posted 25 days ago


Nike rating

7.7

Company rating: 7.7 out of 10

Based on 276 frontline employees who took The Breakroom Quiz


Job description

Lead Software Engineer - NIKE Inc., Beaverton, OR. Manage the coordination and overall integration of technical activities in engineering projects; direct, review or approve project design changes; assess project feasibility by analyzing technology, resource needs or market demand; develop or implement policies, standards, or procedures for engineering and technical work; establish technical goals within broad outlines provided by top management; direct recruitment, placement and evaluation of engineering project staff; extract meaning from data using specialized computer systems to transform, organize, and model the data to draw conclusions and identify patterns; use practical application of data collection and analysis to design, manage and optimize the flow of data throughout the organization; implement and execute strategies for a larger team (or multiple smaller teams) to deliver business results; solve complex problems using limited information; implements solutions taking into consideration future implications; work with non-routine information and develops recommendations to gain approval of ideas or services; accountable for meeting short-term to medium-term targets that impact the department or team; responsible for performance management, pay and resourcing decisions for direct reports; responsible for the team's delivery of scalable data solutions to solve a customer need; identify and solve enterprise issues concerning data management to improve data quality, and ensure the implementation of automated workflows, continuous integration, test-driven development and production deployment frameworks; guide the team in identifying and solving data issues and performing root-cause analysis to actively resolve product issues; and collaborate with other data engineers in the review of design, code and test plans in support of maintaining data engineering standards. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY. Must have a Bachelor's degree in Computer Science, Engineering and 5 years of post-baccalaureate experience in the job offered or in a Engineering-related occupation.
Position requires:
  • Spark for Data Engineering including batch and streaming pipelines

  • Advance SQL including complex queries, performance optimization and Big Data management

  • Python for data processing and workflow orchestration

  • Informatica for building complex ETL pipelines

  • AWS services including S3, EMR, Aurora DB, EC2.

  • Airflow for ETL pipeline orchestration

  • Snowflake for datawarehousing and Petabyte scale Data Lakes

  • Hive on Hadoop ecosystems

  • Unix programming

  • Data Architecture to support petabyte scale LakeHouse implementations

  • Data Modeling to support complex LakeHouse implementations and reporting solutions

Apply at www.jobs.nike.com (Job# R-90232)
#LI-DNI
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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