Analytics Internship 2027

Hive Financial Systems; Atlanta (GA); On-site; USD 25,000 - 39,000; Part time

Job summary

Hive Financial Systems, a fintech company expanding financial inclusion through AI-driven lending technology, seeks an Analytics Intern for the Data & Analytics team in Atlanta. You will work with real lending data—applications, approvals, payments, delinquency—to answer business questions, build reports, and support decisions affecting thousands of borrowers.

You’ll collaborate with Engineering, QA, Product, and Operations, developing dashboards and pipelines while learning lending metrics and

Qualifications

• Enrolled as a junior, senior, or master's student in a related field such as Information Systems, Data Analytics, Statistics, CS, or Finance.
• Working knowledge of SQL (SELECT, JOIN, WHERE, GROUP BY); window functions/CTEs a plus.
• Some exposure to Python or R for data analysis.
• Familiar with relational database concepts; strong problem-solving and communication skills.

Responsibilities

• Write and run SQL queries against Azure SQL/SQL Server and Microsoft Fabric lakehouse to answer business questions and build reports.
• Build and maintain dashboards in Hex covering key metrics like application-to-funded funnel, payment success rates, and delinquency trends.
• Use Python (pandas, Jupyter/Hex notebooks) to clean, explore, and summarize data and present findings to stakeholders.
• Learn core lending metrics (vintages/cohorts, days-past-due buckets, roll rates, first-payment default) and apply them in analysis.
• Help measure borrower communication and marketing campaigns, including tracking results and A/B test analysis.
• Gather requirements from business stakeholders and translate into clear specs and acceptance criteria for the development team.
• Support data quality: flag anomalies, document data definitions in the data catalog, and validate pipeline outputs.
• Assist with vendor data and reporting relationships.

Skills

SQL knowledge

Python

Data analysis

Communication

Teamwork

Problem solving

Education

Information Systems / Data Analytics student

Tools

Hex

Azure Synapse

SQL Server

Git

Azure DevOps

Jira

Confluence

Claude

Job description

Hive Financial Systems is a fintech company expanding financial inclusion through AI-driven lending technology. Our multi-portfolio loan management platform powers multiple lending partners serving tens of thousands of active consumers, building the infrastructure that makes responsible lending possible for underserved markets.

Role Overview

We’re looking for a curious, detail-oriented Analytics Intern to join our Data & Analytics team for the summer. You’ll work with real lending data, including applications, approvals, payments, and delinquency, to answer business questions, build reporting, and support decisions that affect thousands of borrowers. You’ll partner with Engineering, QA, Product, and Operations, and you’ll finish the summer with projects you can point to.

What You’ll Do

• Write and run SQL queries against our Azure SQL / SQL Server and Microsoft Fabric lakehouse to answer business questions, investigate issues, and build reports.
• Build and maintain dashboards in Hex covering metrics such as the application-to-funded funnel, payment success rates, and delinquency trends.
• Use Python (pandas, Jupyter/Hex notebooks) to clean, explore, and summarize data, and present findings to stakeholders in plain language.
• Learn core lending metrics (vintages and cohorts, days-past-due buckets, roll rates, first-payment default) and apply them in your analysis.
• Help measure borrower communication and marketing campaigns, including tracking results and supporting A/B test analysis.
• Gather requirements from business stakeholders and translate them into clear specs and acceptance criteria for the development team.
• Support data quality: flag anomalies, document data definitions in our data catalog, and help validate pipeline outputs.
• Assist with vendor data and reporting relationships.

Tools You’ll Use

SQL (T-SQL), Microsoft Fabric / Azure Synapse, Hex, Python, Git / Azure DevOps, Hex, Claude, Jira and Confluence, and AI assistants for analysis and documentation.

Qualifications

• Junior, senior, or master’s student in Information Systems, Data Analytics, Statistics, Computer Science, Finance, or a related field.
• Working knowledge of SQL (SELECT, JOIN, WHERE, GROUP BY). Window functions or CTEs are a plus.
• Some exposure to Python or R for data analysis.
• Familiarity with relational database concepts.
• Strong problem-solving and critical-thinking skills.
• Clear written and verbal communication, including the ability to explain numbers to non-technical audiences.
• Ability to work both independently and collaboratively in a fast-paced environment.

Nice to Have

• Experience with a BI tool (Hex, Power BI, Tableau, or similar).
• Interest in fintech, consumer lending, or credit risk.
• Exposure to cloud data platforms (Azure, Fabric, Snowflake, Databricks).
• Basic statistics, such as distributions, hypothesis testing, and A/B testing.

What You’ll Gain

• Hands-on experience with an enterprise lending data platform and real business problems.
• Practical skills in SQL, Python, BI, and business analysis.
• Mentorship from experienced engineering and analytics professionals.
• A portfolio-ready project presented to company leadership at the end of the summer.

This job requires 4 days in our Atlanta office (M-Thurs).