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Req Id: 42215
Job Title: Data Analyst
City: West Lafayette

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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Posting Start Date: 6/24/26