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Amazon Data Analyst Internship Jobs in Indiana (NOW HIRING)

Purdue University

Data Analyst

West Lafayette, IN · On-site

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

Ivy Tech

Data Analyst Intern

Indianapolis, IN · On-site

$15/hr

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data ... This internship can continue until the student's graduation, depending on performance and ...

Ivy Tech

Data Analyst Intern

Indianapolis, IN · Hybrid

$15/hr

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data ... This internship can continue until the student's graduation, depending on performance and ...

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

As of Jun 11, 2026, the average hourly pay for amazon data analyst internship in Indiana is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $23.32 per hour, depending on experience, location, and employer.

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

To thrive as an Amazon Data Analyst Intern, you need foundational knowledge in statistics, data analysis, and data visualization, often supported by coursework in computer science, mathematics, or related fields. Familiarity with tools such as SQL, Excel, Python, and data visualization platforms like Tableau is highly valuable. Strong problem-solving skills, attention to detail, and effective communication are key soft skills in this role. These competencies allow interns to interpret data accurately, collaborate with diverse teams, and contribute actionable insights that support business decisions.

What is an Amazon Data Analyst Internship job?

An Amazon Data Analyst Internship is a temporary position designed for students or recent graduates to gain hands-on experience in analyzing data to support business decisions. Interns work with large datasets, use statistical tools, and create reports to identify trends and insights. They collaborate with teams across Amazon to improve processes and enhance customer experience. This role helps develop analytical skills, proficiency in SQL and Excel, and experience with data visualization tools. It is a great opportunity to learn about Amazon’s data-driven culture and contribute to real-world business solutions.

Which internship is best for a Data Analyst?

The best internship for a Data Analyst typically offers hands-on experience with data analysis tools like Excel, SQL, or Python, and involves working on real projects to develop skills in data visualization, reporting, and statistical analysis. Internships at reputable companies such as Amazon provide structured programs with mentorship, exposure to large datasets, and opportunities to learn industry-standard practices.

Is it difficult to get an internship at Amazon?

Securing an Amazon Data Analyst Internship can be competitive due to high applicant volume and the company's rigorous selection process. Candidates typically need strong analytical skills, relevant coursework, and proficiency in tools like SQL and Excel, along with a solid academic record. Preparation, relevant experience, and a well-crafted application increase the chances of success.

What kinds of projects or tasks do Amazon Data Analyst Interns typically work on during their internship?

Amazon Data Analyst Interns are often assigned to work on real-world business problems, such as analyzing large datasets to identify trends, supporting the development of business metrics, or creating dashboards for internal teams. They may collaborate closely with analysts, product managers, and engineers to understand project requirements and deliver actionable insights. Daily tasks can include writing queries, preparing reports, and presenting findings to stakeholders. This experience provides valuable exposure to Amazon's fast-paced, data-driven environment and can significantly enhance your analytical and technical skills for future roles.

How much do Amazon Data Analyst interns make?

Amazon Data Analyst interns typically earn between $20 and $30 per hour, depending on location, experience, and academic level. Internships often last 10 to 12 weeks and may include additional benefits such as stipends or housing assistance.

Does Amazon have a Data Analyst internship?

Yes, Amazon offers a Data Analyst internship program that provides hands-on experience in data analysis, reporting, and visualization using tools like SQL, Excel, and Tableau. The internship typically targets students pursuing degrees in related fields and may require relevant coursework or skills in data management and analytics.
What are the most commonly searched types of Amazon Data Analyst jobs in Indiana? The most popular types of Amazon Data Analyst jobs in Indiana are:
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Amazon Data Analyst Internship jobs near you
Infographic showing various Amazon Data Analyst Internship job openings in Indiana as of June 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,542 per year, or $21.4 per hour.
Data Analyst

Data Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

Posted 20 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 535 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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