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Analytics Internship 2027

Pay
Pay not listedSimilar roles state $94K–$145K
Work setting
Not stated
Employment
Not stated

Before you apply

New graduates
For current studentsJob title: Analytics Internship 2027

What you’ll work on

Full posting

We’re looking for a curious, detail-oriented Analytics Intern to join our Data & Analytics team for the summer.

  • Write SQL queries on Azure SQL and Microsoft Fabric to answer business questions

  • Build and maintain Hex dashboards for funnel, payment, and delinquency metrics

  • Use Python to clean and summarize data and present findings in plain language

  • Help measure borrower communication and marketing campaigns, including A/B tests

  • Flag data anomalies and document data definitions in the data catalog

From the employer’s posting
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.
Write and run SQL queries against our Azure SQL / SQL Server and Microsoft Fabric lakehouse
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.
Help measure borrower communication and marketing campaigns, including tracking results and supporting A/B test analysis.
flag anomalies, document data definitions in our data catalog, and help validate pipeline outputs

What you’ll bring

All qualifications

Core experience

  • Familiarity with relational database concepts.
  • Experience with a BI tool (Hex, Power BI, Tableau, or similar).
  • Ability to work both independently and collaboratively in a fast-paced environment.
  • Hands-on experience with an enterprise lending data platform and real business problems.
Qualification wording
Familiarity with relational database concepts.
Experience with a BI tool (Hex, Power BI, Tableau, or similar).
Ability to work both independently and collaboratively in a fast-paced environment.
Hands-on experience with an enterprise lending data platform and real business problems.
Education & alternatives
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.

About Hive Financial Systems

Hive Financial Systems is a fintech company expanding financial inclusion through AI-driven lending technology.

In the employer’s words · Read in context

Posting record

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Status in our records
Live
First seen by us
Oct 28, 202617 days ago
Recorded sightings
18
Last seen by us
Nov 15, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.4K–$145K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,036 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 17

Similar jobs usually come down between day 5 and day 43.

From 14,748 similar postings that came down. Coming down is not always a hire.

Hive Financial Systems is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • T-SQL
  • Azure
  • Databricks
  • Power BI
  • Snowflake
  • SQL Server
  • Tableau
  • pandas
Where the posting names them
- 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.
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
- 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.
- 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.
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.
- 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.
- 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.
Nice to Have - Experience with a BI tool (Hex, Power BI, Tableau, or similar). - Interest in fintech, consumer lending, or credit risk.

Your next step

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Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Analytics Intern – Summer 2027

Location: Atlanta, Georgia (Buckhead)

Duration: May 17, 2027 – July 30, 2027

Department: Data & Analytics

About Us

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.

 

REQUIRED: 

In a 60–90 second video, tell us about a time you used data to figure something out. It can be from a class, a job, a club, or your personal life. What was the question, what did you look at, and what did you learn? Then tell us one thing about consumer lending or fintech you’re curious to learn this summer.

No editing or production needed. Just record yourself talking, phone quality is fine. We want to hear how you think, not a polished script.  Send this to recruiting@hivefs.com

 

 

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Atlanta, Georgia

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