Paid Corporate Analytics Intern: Data Insights & Dashboards

First National Bank; Pittsburgh (Allegheny County); On-site; USD 20,000 - 31,000; Part time

Benefits offered by this job

Paid Internship

Job summary

First National Bank in Pittsburgh invites students to join our Corporate Analytics Internship. You will analyze data, develop dashboards, and present findings to leadership while shadowing a Business Analytics Analyst across departments.

You will gain practical experience in finance, analytics, and statistics, using SAS, SQL, Hyperion, Python, and Microsoft tools, with exposure to cross-functional meetings and real-world projects.

Qualifications

• High School diploma or GED required.
• Be officially enrolled in an undergraduate program with a major in Finance, Accounting, Marketing or Information Technology.
• Strong analytical and communication skills are expected.
• Eligible to work in the United States; sponsorship not offered.

Responsibilities

• Assists the lead analyst in applying quantitative methods to solve business problems.
• Assists with interpreting analytics results and providing actionable insights.
• Uses SAS, SQL, Hyperion, Python, and Microsoft tools to assist with analysis and results validation.
• Assists with identifying online training resources and creating knowledge-based articles.
• Assists with development and maintenance of department documents including project plans, policies and procedures.
• Complete rotations and work with appropriate oversight to achieve objectives.

Skills

Analytical thinking

Data interpretation

Communication

Education

High School or GED

Undergraduate enrollment in Finance/Accounting/IT

Tools

SAS

SQL

Hyperion

Python

Microsoft Excel

Job description

First National Bank in Pittsburgh invites students to join our Corporate Analytics Internship. You will analyze data, develop dashboards, and present findings to leadership while shadowing a Business Analytics Analyst across departments.

You will gain practical experience in finance, analytics, and statistics, using SAS, SQL, Hyperion, Python, and Microsoft tools, with exposure to cross-functional meetings and real-world projects.