Remote Data Analytics Intern — Build Pipelines & Dashboards

Symetra; Bellevue (WA); Remote; USD 30,000 - 34,000; Part time

Benefits offered by this job

Fully remote internship

Equipment provided

Job summary

Symetra is seeking a Data Analytics Intern for a 12-week, fully remote Summer 2027 program. You will design and maintain clean, reliable datasets powering analytics across the organization, collaborating with engineers and analysts on real business objectives.

You’ll work on data pipelines, dashboards, and AI-enabled data products. This internship emphasizes analytics engineering patterns, data quality, and practical use of SQL, Python, and tools like dbt and Snowflake.

Qualifications

• Comfortable with SQL and Python.
• Interest in analytics engineering patterns (staging/marts, testing, version control).
• Able to work with imperfect data and communicate findings clearly.
• Curious, collaborative, and eager to learn.
• Hands-on with dbt and Snowflake; basic data tests and CI familiarity.
• Exposure to NLP/sentiment or LLM workflows (e.g., summarization, embeddings).
• Experience with orchestration (Airflow/Prefect/Dagster) and Git-based delivery.

Responsibilities

• 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.

Skills

SQL

Python

Tools

dbt

Snowflake

Airflow

Git

Power BI

Job description

Symetra is seeking a Data Analytics Intern for a 12-week, fully remote Summer 2027 program. You will design and maintain clean, reliable datasets powering analytics across the organization, collaborating with engineers and analysts on real business objectives.

You’ll work on data pipelines, dashboards, and AI-enabled data products. This internship emphasizes analytics engineering patterns, data quality, and practical use of SQL, Python, and tools like dbt and Snowflake.