Database Analyst, Intern

Molto RE

United StatesFresher4h agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 1 year · Bachelor's degree
Must know
ETLTroubleshootingSQLPostgreSQLMySQLPython
Work
On-site in United States · internship
Pay
Not stated by the employer.
Skill demand
SQL78%Troubleshooting34%ETL26%PostgreSQL6%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 12, 2026 · still open

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About the Role

Molto RE, a firm providing quantitative analytics and strategic advisory services to the insurance industry, is seeking a full-time remote Database Analyst - Intern. This role focuses on managing and optimizing data assets crucial for the firm’s analytics and advisory work.

Key Responsibilities

  • Design, implement, and maintain databases storing exposure, loss, and portfolio data.
  • Ensure data integrity, security, and performance.
  • Build and refine data models.
  • Develop ETL pipelines to integrate data from multiple sources.
  • Prepare datasets for actuarial, quantitative, and reporting use.
  • Collaborate with quantitative analysts and consultants to understand data requirements, troubleshoot issues, and support analytical workflows.
  • Contribute to process automation, documentation, and continual improvement of data infrastructure and standards.

Requirements & Tech Stack

  • Strong database administration skills, including performance monitoring, backup and recovery, and security management.
  • Proficiency in data modeling and database design.
  • Experience with Extract Transform Load (ETL) processes and tools.
  • Advanced analytical skills, with the ability to interpret large datasets.
  • Hands-on experience with SQL and at least one major relational database platform (e.g., PostgreSQL, MySQL, SQL Server, Oracle).
  • Familiarity with scripting or programming languages (e.g., Python, R) for data manipulation and automation is beneficial.

Qualifications

  • Bachelor’s degree in a quantitative field such as Computer Science, Information Systems, Data Science, Statistics, or a related discipline, or equivalent practical experience.
  • Ability to work independently in a remote environment.
  • Ability to manage multiple priorities.
  • Ability to communicate clearly with technical and non-technical stakeholders.
  • Experience working with insurance, reinsurance, or financial services data is a plus.

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