Consumer Banking Data Analytics Internship (Hybrid)

Ally

Charlotte (NC)

Hybrid

USD 34,000 - 45,000

Full time

7 days ago
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Benefits offered by this job

Sign-on bonus
Housing assistance
Potential return offer
Market-competitive pay

Job summary

Ally Financial invites students to join a 11-week paid internship in Charlotte, NC, from May 21 to July 31, 2027. The role focuses on forecasting, data science analytics, and data-driven decision making within Consumer Banking.

It combines hands-on project work with mentoring and networking across diverse teams. You will query large datasets using SQL, develop dashboards in Power BI and Excel, and learn to leverage AI tools for automation and insight generation while exploring potential

Qualifications

  • Technical Skills - Snowflake, Excel, Power BI, Posit (Python and/or R).
  • Communication skills - strong written skills and verbal communication, ability to present ideas clearly and professionally.
  • Problem solving - strategic, problem-solving, customer-focused proactive mindset.
  • Collaboration and adaptability - comfortable collaborating with partner analytics teams and product managers, positive attitude to learn.
  • Organizational skills - manage multiple tasks and deadlines, strong attention to detail.
  • Preferred degrees - Computer Science, Data Science

Responsibilities

  • Support Forecasting & Data Science analytics team with forecasting and data insights.
  • Query and transform large datasets into business insights using SQL and time series analysis.
  • Leverage AI tools for coding, automation, data analysis, and insight discovery.
  • Develop, automate, and publish reports (Power BI, Excel dashboards) and present findings to stakeholders.

Skills

Communication
Problem solving
Collaboration
Organizational skills
Time management

Education

Computer Science
Data Science

Tools

Snowflake
Excel
Power BI
Posit

Job description

Ally Financial invites students to join a 11-week paid internship in Charlotte, NC, from May 21 to July 31, 2027. The role focuses on forecasting, data science analytics, and data-driven decision making within Consumer Banking.

It combines hands-on project work with mentoring and networking across diverse teams. You will query large datasets using SQL, develop dashboards in Power BI and Excel, and learn to leverage AI tools for automation and insight generation while exploring potential

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