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Internship Nike Data Analyst Jobs (NOW HIRING)

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6+years

Data Analyst

San Francisco, CA · On-site

$90K - $120K/yr

At Windfall, data isn't just a resource-it's our product. We are on a mission to democratize access ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

At Windfall, data isn't just a resource-it's our product. We are on a mission to democratize access ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field * 0 2 years of experience or relevant internships in ...

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

OR · On-site

$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 ...

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 ...

Position Summary The Data Analyst administers and improves key business applications while ... role (internships, co-ops, and relevant project work count toward entry-level experience)

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Our internship program offers practical corporate work experience that could lead to full-time work ... The Data Analyst Intern will support the Retirement Operations team by helping transform data into ...

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

As a Data Analyst Intern within our Customer Experience team, you will help turn customer and ... This internship is a great opportunity for a student who enjoys working with data, is curious about ...

Our internship program offers practical corporate work experience that could lead to full-time work ... The Data Analyst Intern will support the Retirement Operations team by helping transform data into ...

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Internship Nike Data Analyst information

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

As of Jun 12, 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 an Internship Nike Data Analyst, and why are they important?

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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Data Analyst

Data Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

Posted 21 days ago


Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

263rd of 536 rated colleges and universities


Job description

Req Id: 42215
Job Title: Data Analyst
City: West Lafayette
Job Description:
Job Summary
The Institutional Data Analytics + Assessment (IDA+A) office is seeking a Data Analyst (P@), Senior Data Analyst (P3), or Lead Data Analyst (P4). This role supports high-visibility institutional priorities through advanced analytics, reporting, and strategic insight, enabling leaders to make informed decisions that impact students, faculty, and operations at scale.
In this role, you will contribute to research, statistical analysis, report development, dashboard creation, and evidence-based decision support. Working closely with a broad range of campus stakeholders, you will support data-informed decision-making for both day-to-day operations and broader institutional initiatives.
This position will be filled at the appropriate career level (P2, P3, or P4) based on the selected candidate's skills and experience. Responsibilities, scope, and influence increase with level. All levels emphasize collaboration, teamwork, and the delivery of clear, insightful, actionable, and customer-focused analytics. Depending on level, you will work alongside analytics colleagues (P2), mentor and influence peers (P3), or lead complex initiatives and set analytical standards (P4), while partnering closely with staff in assessment, data engineering, data science, and data governance.
Fully remote and hybrid work options are available.
For full consideration, an attached resume and cover letter are required.
This posting represents multiple vacancies.
Responsibilities
  • P2 (Data Analyst): Executes analyses, builds reports, develops technical skills
  • P3 (Senior): Leads projects, mentors peers, improves data quality and practices
  • P4 (Lead): Drives strategy, leads large initiatives, sets standards across domains

Support Data and Information Needs (All Levels)
  • Deliver timely, accurate routine and ad hoc reports, dashboards, and analyses
  • Create and maintain curated data sets to support reporting and analytics
  • Conduct descriptive, summary, and statistical analyses (e.g., regression, ANOVA)
  • Interpret results and communicate findings clearly to technical and non-technical stakeholders
  • Independently complete analytical projects of increasing complexity based on level

Training, Documentation, and Metadata (All Levels)
  • Author and maintain metadata, data definitions, and technical specifications
  • Contribute to training materials and documentation supporting data fluency
  • Provide system administration support for the Data Cookbook and enterprise metadata tools

Participate in the Purdue Data Community (All Levels)
  • Collaborate with campus data partners to enhance data quality and shared understanding
  • Communicate effectively with stakeholders across functional and technical areas
  • Model best practices in data stewardship, documentation, and responsible data use

Enhance Data Quality and Analytical Standards (P3 & P4)
  • Collaborate with campus partners to improve data quality through enhancements and process improvements
  • Resolve complex data quaity issues spanning multiple subject areas or systems
  • Develop and execute validation plans for new data sets and business intelligence updates
  • Influence adoption of standards, best practices, and consistent analytical approaches

Strategic Partnership & Leadership (P3 & P4)
  • Build deep understanding of functional areas such as Enrollment Management Communications, the Registrar, Admissions, and/or Financial Aid
  • Translate functional needs into tailored analytical solutions
  • Serve as a trusted analytics partner for assigned domains

Leadership & Impact (P4)
  • Lead large, complex, and often ambiguous analytics initiatives with cross-departmental impact
  • Set analytical standards and guide approaches for reporting, validation, and data use
  • Mentor and coach analytics colleagues; review and guide others' work
  • Provide measurable input into planning, prioritization, and strategic initiatives
  • Serve as a subject-matter expert representing IDA+A in campus-wide efforts

What We're Looking For:
  • Bachelor's degree
  • Experience in data extraction, processing, visualization, and analysis:
  • P2: 2+years (a full-time internship may count toward experience)
  • P3: 4+years
  • P4: 6+years
  • Strong communication skills, including presenting findings and maintaining documentation
  • Ability to work effectively with stakeholders at all organizational levels
  • Ability to handle sensitive and confidential data responsibly
  • Experience with BI tools (Tableau preferred)
  • Knowledge of relational databases and reporting tools (SQL and Cognos preferred)
  • Experience conducting statistical analysis (e.g., SAS, SPSS, Minitab)
  • Strong attention to detail, quality, and self-directed work

What Is Helpful:
Applicants are not expected to meet every preferred qualification.
  • Degree in Business, Management, Financial Management, MIS, CIT, Math/Statistics, Behavioral & Social Sciences, or a related field
  • Master's degree
  • Experience with SQL, Tableau, Cognos, SAS, SPSS, Minitab, R. Python, Excel, and PowerPoint
  • Experience supporting higher education data, analytics, or reporting environments
  • Experience using generative AI tools to support analytical workflows (e.g., documentation, exploratory analysis, summarization), with attention to responsible and ethical use

What We Want You To Know:
  • Fully remote and hybrid work options are available
  • This posting represents multiple vacancies
  • For full consideration, an attached resume and cover letter are required
  • Purdue will not sponsor employment authorization for this position
  • A background check is required for employment in this position
  • FLSA: Exempt (Not eligible for overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period
  • Purdue University is an EO/EA University.

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