Data Analytics Intern: BI Dashboards & Insights

PSECU Pennsylvania State Employees Credit Union; United States; On-site; USD 21,000 - 30,000; Part time

Job summary

PSECU Pennsylvania State Employees Credit Union is seeking a Data Analyst Intern to join the BI team. You will pull data from multiple sources, build dashboards, and generate insights to support decision making.

You’ll work under supervision to ensure data security, accuracy, and availability while assisting with ad-hoc reporting needs. The role emphasizes learning and growth, with exposure to SQL, R, Python, and BI tools like Power BI, Tableau, and Looker.

Qualifications

• High School (Required) Any equivalent combination of experience and education.
• Must be a current student actively pursuing a degree or certification for the duration of the internship/student worker assignment.
• Must meet PSECU’s minimum employment eligibility requirements, including being at least 18 years of age at the time of hire.
• In 1934, 22 ordinary people pooled $90 of their own money and formed PSECU, a not-for-profit credit union, to provide a better life for themselves and their families.

Responsibilities

• Create standard or ad hoc queries or reports to extract data from disparate databases or data sources.
• Analyze data to produce dashboards, metrics, or insights and identify trends or anomalies.
• Support advanced analytics initiatives including data mining, statistical analysis, and predictive modeling.
• Provide training and assistance to users for generation of ad-hoc reports.

Skills

SQL

R

Python

Education

High School or equivalent

Tools

Power BI

Tableau

Looker

Job description

PSECU Pennsylvania State Employees Credit Union is seeking a Data Analyst Intern to join the BI team. You will pull data from multiple sources, build dashboards, and generate insights to support decision making.

You’ll work under supervision to ensure data security, accuracy, and availability while assisting with ad-hoc reporting needs. The role emphasizes learning and growth, with exposure to SQL, R, Python, and BI tools like Power BI, Tableau, and Looker.