Analyst Intern – Summer 2027

DriveTime

. Conduct data analysis to generate meaningful insights from datasets .

Posted 10/13/2026part-timeUnited StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong data analysis capabilities with proficiency in SQL, Python, and Tableau, while effectively communicating insights and supporting various analytics verticals. Possesses a solid foundation in quantitative disciplines, ensuring the ability to innovate and improve customer experiences through data-driven solutions.

Highest-signal resume keywords

Data Analysis ExperienceSQL ProficiencyPython ProficiencyTableau ProficiencyStrong Analytics and Reporting Abilities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLPythonTableauExcelModel BuildingData ProcessingResearch DesignData CollectionAd Hoc Analysis

Soft Skills

Detail OrientationProblem-Solving AbilityIntellectual CuriosityExcellent Verbal CommunicationExcellent Written Communication

Industry Keywords

Credit RiskPricingLoan ServicingMarketingSupply ChainRetailAnalytics LifecycleCustomer ExperienceProfitabilitySilverRock Analytics

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Conduct data analysis to generate meaningful insights from datasets
Brainstorm ideas and provide creative solutions to data-analysis challenges
Participate in all phases of the analytics lifecycle, including research design, data collection, data processing, model building, deployment, and presentation of results
Innovate products and services using technology and data analysis to identify opportunities to improve customer experience and profitability
Provide ad hoc analysis and support special projects
Support analytics verticals including Credit Risk & Pricing, Loan Servicing, Marketing, Supply Chain, Retail, and SilverRock Analytics

Requirements

What you’ll need

Bachelor’s or Master’s student with a graduation date between December 2027 and May 2028
Pursuing a quantitative degree in Analytics, Data Science, Mathematics, Economics, Statistics, Physics, Computer Science, or another STEM field
GPA of 3.5 or higher
Data analysis experience
Working knowledge of SQL, Python, Tableau, and Excel
Strong analytics and reporting abilities
Detail orientation
Problem-solving ability
Ability to thrive in a fast-paced environment
Intellectual curiosity
Excellent verbal and written communication skills
Must not require current or future sponsorship; individuals with temporary visas or who need sponsorship are not eligible for hire
Successful completion of background and drug screening required

Benefits

Comp & perks

Paid internship
Hands-on experience, completed projects, full portfolios, and newly developed skills
Potential to stay through the fall semester, return the following summer, or transition to full-time after graduation
Mentorship and professional guidance
Philanthropy and community volunteer opportunities
In-house gym
Company social and celebration activities
Smart-casual dress code
Drug-free, tobacco-free workplace