Posted 1mo ago

2026 Data Analytics Internship

@ Symetra
United States
$22-$25/hrRemoteInternship
Responsibilities:Build data pipelines, Structure data models, Prototype dashboards
Requirements Summary:SQL and Python proficiency; interest in analytics engineering patterns; able to work with imperfect data and communicate findings clearly.
Technical Tools Mentioned:SQL, Python, dbt, Snowflake, Airflow, Dagster, Git
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Job Description

Symetra has an exciting opportunity to join our team as a Data Analytics Intern! 

 

At Symetra, we share a deep commitment to bringing value to underserved communities and people and helping them take steps toward financial freedom. That’s our way of describing people that can be and to do what they value. Our interns work on real, meaningful projects that contribute toward our goal, and are an important part of our Symetra community.  

 

Symetra's Internship Program for Summer 2026 is entirely remote - all interns will learn and work in a virtual setting. The internship duration is 12 weeks.   

 

As a Data Analytics intern, you’ll help shape the way Symetra uses data by supporting the design and maintenance of clean, reliable, well-modeled datasets that power analytics across the organization. You’ll learn about our products and workflows, collaborate with engineers and analysts, and contribute to data products that support real business objectives. 

 

Team placements & focus areas: (you’ll be matched based on skills and interest) 

  • Shared Services 
    Turn unstructured data (call transcripts, Salesforce/AWD case notes, PDFs) into BI-ready insights using SQL/Python/Snowflake, with opportunities to explore sentiment analysis and generative AI. 
  • Analytics Engineering (Data Platform — Hosting) 
    Build reliable Python+SQL pipelines and transformations that scale, applying version control and basic testing to deliver trustworthy datasets. 
  • Workforce Benefits Data Analytics 
    Model OLTP→OLAP data with dbt/SQL to create clear, performant marts that enable fast, accurate decision-making. 

 

What you’ll do: 

  • Build and refine data pipelines and transformations (Python + SQL) for defined use cases. 
  • Structure messy/unstructured data into analyzable, documented models. 
  • Prototype dashboards/BI views that communicate findings and KPIs. 
  • Contribute to data quality checks, basic testing, and clear documentation. 
  • Present results and learn best practices in analytics engineering.