Data & Analytics Internship

SupportFinity™; Carmel (IN); On-site; USD 20,664 - 34,440; Full time

Benefits offered by this job

Mentorship from industry professionals

Ownership of meaningful projects

Real-world experience in analytics

Job summary

SupportFinity™ in Carmel, Indiana, is offering a Data & Analytics Internship for students interested in data science and engineering. The role involves cleaning datasets, supporting machine learning projects, and building dashboards using Tableau or Power BI.

The internship aims to provide real-world experience in enterprise analytics, with mentorship from industry professionals and opportunities to work on meaningful projects aligned with the company's 2026 analytics roadmap.

Qualifications

• Currently pursuing a degree in a relevant field.
• Comfortable with Python and/or SQL.
• Basic understanding of statistics, data wrangling or machine learning.

Responsibilities

• Clean, transform, and structure large-scale datasets.
• Support feature engineering and model evaluation.
• Build analytical dashboards using Tableau Cloud or Power BI.

Skills

Python

SQL

Data wrangling

Machine learning concepts

Analytical thinking

Communication skills

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field

Tools

Tableau

Power BI

Alteryx

Git

Job description

Description

America's Group one of the fast growing companies in the Auto Auction industry has an Internship opportunity available on our Data & Analytics Team.

The Data & Analytics Internship gives students the opportunity to work inside a modernizing analytics organization focused on data science, analytics engineering, machine learning, data quality, and enterprise-scale reporting.

As part of America’s Group D&A team, whose purpose is to enable data-informed decisions across the enterprise, you’ll help build the future state of our analytics capabilities, including governed data marts, predictive modeling, AI-ready datasets, and scalable insights.

This internship is designed for students who are excited about data science + engineering, not traditional finance.

What You’ll Do

As a D&A Intern, you will collaborate with the team across projects involving:

Analytics Engineering & Data Preparation

• Clean, transform, and structure large-scale datasets for analysis and machine learning
• Build or support data pipelines using SQL, Python, and/or Alteryx
• Assist in creating AI-ready, modular dataset outputs aligned with our evolving data mart and governance framework

Machine Learning & Predictive Modeling

• Support feature engineering, model evaluation, and performance tracking
• Help design experiments or evaluate historical behavioral trends (e.g., vehicle, buyer/seller, conversion, pricing)
• Explore methods for anomaly detection, forecasting, and model explainability

Visualization & Insights

• Build analytical dashboards and reporting assets using Tableau Cloud or Power BI
• Translate patterns and model outputs into insights for operational and financial teams

Data Governance, Quality & Documentation

• Contribute to data quality checks, lineage documentation, and definition consistency across the enterprise
• Support the rollout of a business glossary and certified D&A datasets

Collaboration & Learning

• Work with analysts, developers, and data scientists to deliver actionable insights
• Participate in weekly analytics huddles, standups, and innovation discussions

What You’ll Gain

• Real-world experience in enterprise data science & analytics engineering
• Direct exposure to the D&A strategic vision: predictive analytics, AI adoption, self-service enablement, and modern data governance
• Mentorship from analysts, developers, and data scientists
• Ownership of meaningful projects that contribute to our 2026 analytics roadmap
• A portfolio of production-style work that goes beyond typical academic exercises

Requirements

Minimum Requirements

• Currently pursuing a Bachelor’s or Master’s degree in: Data Science, Computer Science, Information Systems, Statistics, Mathematics, Analytics, Engineering, or related technical field
• Comfortable with Python and/or SQL through coursework or projects
• Basic understanding of statistics, data wrangling, or machine learning concepts
• Strong analytical thinking and attention to detail
• Ability to work in the Indianapolis/Carmel area for the duration of the internship
• Excellent written and verbal communication skills
• Demonstrated intellectual curiosity and willingness to learn new tools quickly

Preferred Requirements

• Experience or coursework in:
  • Python (pandas, scikit-learn, numpy), R, or similar
  • SQL databases and relational modeling
  • Machine learning fundamentals or academic ML projects
  • Data visualization tools (Tableau, Power BI, or Looker)
  • Cloud tools or APIs
• Familiarity with version control (Git), pipelines, or workflow tools (e.g., Alteryx)
• Prior internship, project, or research experience in analytics, data engineering, or data science
• Interest in applied AI, automation, or predictive analytics (RAG, embeddings, LLM workflows is a bonus, not required)