IT Governance Analytics Intern

Bancorp Bank, The•Sioux Falls, SD

2d•Onsite

About The Position

The IT Governance Analytics Intern will support execution of the Enterprise Technology Governance strategy by delivering data driven reporting, dashboard solutions, and insights that enhance visibility into IT performance, risk, and strategic initiatives. This hands-on, project-based role focuses on building foundational governance reporting capabilities including KPI/KRI definition, dashboard development, and data quality improvements to enable consistent, transparent, and actionable executive reporting. The intern will partner with IT, Risk, Compliance, and Operations teams to transform complex datasets into clear insights, support governance forums (e.g., CTO/COO reviews, risk committees), and contribute to continuous improvement in technology oversight and decision-making.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in: Data Analytics, Computer Science, Information Systems, Statistics, or related field
SQL (basic to intermediate)
Microsoft Excel (data analysis, formulas, pivot tables)
Experience with data visualization tools (Power BI, Tableau, or equivalent)
Eligible to work for any employer in the United States for the full duration of the internship. The Bancorp will not assist in applying for visas or altering the visa status of applications.
Enrolled full-time in an undergraduate college degree program at the rising junior level, junior or senior level standing, enrolled in a master’s program or recently graduated within the past six months
Students must have a cumulative GPA of 3.0, this will be confirmed by the recruiter.
Pursuing a bachelor’s or master’s degree directly related to the department for which the internship program is listed.
Must be available for full-time internship.
May not be related to any employee of The Bancorp.

Nice To Haves

Coursework or internship experience in data analysis, reporting, or visualization
Interest or exposure in financial services, banking, regulated environments, technology, or risk management
Strong analytical and problem-solving skills
Ability to communicate insights clearly to technical and non-technical stakeholders
Strong attention to detail, especially around data accuracy and reporting integrity
Comfortable working in a fast-paced, cross-functional environment
Proactive mindset with a focus on continuous improvement
Exposure to data modeling concepts
Basic understanding of IT systems or SDLC concepts
Interest or exposure to AI tools (e.g., ChatGPT, Copilot, or similar)

Responsibilities

KPI / KRI Development & Data Foundations
Supports development of a data dictionary and metric definitions
Maps metrics to available data sources
Dashboard Development
Enhances one executive-ready dashboard (Power BI, Tableau, or equivalent)
Supports creation of standardized reporting views for governance forums
Assists in improving consistency and usability of existing reports
Data Analytics & Insights
Analyzes structured and unstructured datasets to identify trends, anomalies, and performance drivers
Produces actionable insights to support decision-making across IT and Operations
Assists in building analytical models to evaluate performance, capacity, and risk exposure
Helps standardize reporting formats and templates
Governance Reporting & Insights
Analyzes data to identify trends, risks, and performance insights
Supports preparation of materials for governance meetings and executive reporting
Presents findings in a clear and structured format
Monitors data accuracy, completeness, and consistency across reporting sources
Supports documentation of data definitions, lineage, and validation controls
Identify and escalate data quality issues and recommend remediation actions
AI & Intelligent Automation
Explores use of AI tools (e.g., ChatGPT, Copilot, or similar) to enhance reporting and analytics workflows
Assists in developing AI-assisted summaries, insights, or narrative reporting for dashboards
Identifies opportunities to use AI to reduce manual effort in data analysis or reporting preparation
Supports experimentation with prompting techniques and lightweight automation use cases
Identifies opportunities to streamline and automate reporting processes
Promotes best practices in data management and governance reporting
Collaborates with cross-functional teams (IT, Risk, Compliance, Operations) to gather requirements