Student Intern, Identity Management, Data Analytics, Summer 2027

Job Summary/Purpose

The Identity Management & Data Analytics Intern will support the Identity and Access Management (IAM) team by helping analyze identity, access, authentication, and security data. This internship provides hands-on experience at the intersection of cybersecurity, identity management, data analytics, and automation.

The intern will work with IAM professionals to develop reports and dashboards, analyze identity-related trends, improve data quality, identify potential security risks, and support opportunities to automate manual processes.

This position is ideal for a student interested in cybersecurity, data analytics, information technology, computer science, or information systems who wants practical experience using data to solve real-world security and business problems.

The ideal candidate is curious, analytical, and eager to learn. They enjoy working with data, identifying patterns, solving problems, and understanding how technology can be used to improve cybersecurity.

Prior professional IAM experience is not required. We are looking for someone with a strong interest in learning and an ability to use data and technology to answer questions, identify opportunities, and solve problems.

Job Duties/Responsibilities

Working in a team environment to assist in day-to-day activities, including but not limited to:

• Assist with collecting, organizing, validating, and analyzing identity and access data.
• Develop reports, dashboards, and visualizations to communicate IAM trends and performance.
• Analyze account, authentication, access, and entitlement information to identify trends, anomalies, and potential risks.
• Assist with identifying inactive, duplicate, orphaned, or potentially over-permissioned accounts.
• Analyze metrics related to account provisioning, deprovisioning, password resets, MFA, access requests, and other IAM activities.
• Assist with monitoring privileged accounts and high-risk access.
• Support analysis of Active Directory users, groups, and access.
• Assist with data reconciliation and improving identity data quality.
• Help develop and maintain IAM Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs).
• Identify opportunities to automate recurring reports and manual IAM processes.
• Assist with developing scripts, queries, or workflows to improve operational efficiency.
• Support identity governance, access reviews, and cybersecurity compliance activities.
• Assist with documenting analytical processes, procedures, and findings.
• Present analytical findings and recommendations to IAM team members and cybersecurity leadership.
• Participate in IAM projects and other cybersecurity initiatives as assigned.

Depending on business needs, the selected candidate may have opportunities to:

• Build a Power BI dashboard showing IAM operational and security metrics.
• Analyze account provisioning and deprovisioning performance.
• Identify trends in authentication failures and account lockouts.
• Analyze privileged and high-risk account populations.
• Evaluate Active Directory group membership and access patterns.
• Develop analytics for dormant or inactive accounts.
• Analyze MFA adoption and authentication trends.
• Create reporting around service accounts and account ownership.
• Automate recurring IAM reports using PowerShell, Python, SQL, or similar technologies.
• Explore the use of AI and advanced analytics to identify identity-related risks and improve IAM operations.

MINIMUM REQUIREMENTS

Minimum Education Requirements

• Candidates must be actively enrolled and pursuing a bachelors, masters or doctorate degree in in Cybersecurity, Computer Science, Information Technology, Information Systems, Data Analytics, Data Science, Business Analytics, or a related field from a four-year institution.
• Must have a minimum cumulative GPA of 2.8 (on a 4.0 scale), verified through an official transcript from the previous semester.

Minimum knowledge, skills and abilities required of the position

• Strong analytical and problem-solving skills.
• Interest in cybersecurity, identity management, and data analytics.
• Ability to organize and analyze data and communicate findings clearly.
• Strong written and verbal communication skills.
• Ability to work collaboratively in a team environment.

Preferred knowledge, skills and abilities

Experience or coursework involving one or more of the following is beneficial but not required:

• Microsoft Excel
• Power BI or other data visualization tools
• SQL
• Python
• PowerShell
• Microsoft Active Directory or Entra ID
• Data analysis or statistics
• Cybersecurity fundamentals
• Identity and Access Management
• Automation or scripting
• Artificial intelligence or machine learning concepts

What the Intern Will Learn

Through this internship, the individual will gain practical experience with:

• Enterprise Identity and Access Management
• Identity security and cybersecurity operations
• Data analytics and visualization
• Cybersecurity metrics and reporting
• Identity lifecycle management
• Authentication and Multi-Factor Authentication
• Privileged access concepts
• Identity governance
• Automation and scripting
• Translating technical data into actionable business and security insights