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Internship Nike Data Analyst Jobs (NOW HIRING)

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 ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

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 ...

The Data Analyst plays an essential role in supporting data gathering, analysis, and report ... Demonstrate acceptance and training of student interns in the department, as directed. Participate ...

Data Analyst

Daytona Beach, FL · On-site

$21 - $24/hr

REQUIRED SKILLS & EXPERIENCE Experience: 0 to 2 years of professional experience in a data-centric, administrative, or analytical role (relevant internships are highly welcomed). Advanced Excel:

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How much do internship nike data analyst jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship nike data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does a Nike data analyst intern do?

A Nike Data Analyst Intern works with Nike’s data teams to collect, analyze, and interpret data related to business operations, consumer behavior, and product trends. Their responsibilities often include cleaning and organizing datasets, creating data visualizations, and helping to generate actionable insights for various departments. Interns may also assist in building dashboards, performing statistical analyses, and presenting findings to teams. This role provides hands-on experience with data tools and real-world business problems, supporting Nike’s data-driven decision-making.

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

To thrive as an Internship Nike Data Analyst, you need strong analytical skills, foundational knowledge of statistics, and coursework or experience in data science or business analytics. Familiarity with tools like Excel, SQL, Tableau, and Python, as well as experience with data visualization and analytics platforms, is typically expected. Effective communication, attention to detail, and a collaborative mindset help you stand out in a team-oriented and fast-paced environment. These skills ensure you can extract actionable insights from complex datasets and contribute meaningfully to data-driven decision-making at Nike.

What is the difference between Internship Nike Data Analyst vs Nike Data Analyst?

AspectInternship Nike Data AnalystNike Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree programsBachelor's or higher in data analysis, statistics, or related fields
Work EnvironmentInternship setting, learning-focused, part-time or temporaryFull-time, professional environment, project-driven
Employer & Industry UsageEntry-level, training phase within NikeFull-fledged role, responsible for data analysis projects at Nike

The main difference is that the Internship Nike Data Analyst is a temporary, learning-focused position for students or recent graduates, while the Nike Data Analyst is a full-time role requiring more experience and responsibility. Internships serve as a stepping stone into the industry, whereas full analyst roles involve independent project work and strategic insights.

What types of projects and responsibilities can an intern expect during a Nike data analyst internship?

As a Nike Data Analyst intern, you can expect to work on a variety of projects that support business decision-making, such as analyzing sales trends, consumer behavior, and product performance data. Responsibilities often include cleaning and organizing large datasets, creating visualizations, and collaborating with cross-functional teams like marketing, finance, and product management. Interns are encouraged to present their findings and contribute actionable insights that can impact real Nike initiatives. This hands-on exposure helps interns develop technical skills and gain an understanding of how data-driven insights drive strategy in a global organization.
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What states have the most Internship Nike Data Analyst jobs?

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Infographic showing various Internship Nike Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 23 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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