Data Analyst

Company: vitu

Location: United States (Remote)

Salary: $68,000 - $72,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-10-09

About this role

  • Data Analyst I (Remote)

As the leading innovator in Vehicle-to-Government (V2Gov) technology, Vitu is transforming the way vehicles, businesses, government, and drivers interact with one another.

Vitu provides innovative, cutting-edge services to the motor vehicle industry. Our namesake solution manages titling and registration transactions in all 50 states and across multiple locations — all on one platform. With the mission of expanding and automating Vehicle-to-Government (V2Gov) transactions, the Vitu platform is reimagining how drivers, businesses and governments interact with vehicles. Vitu has offices in California, Florida, Georgia, Illinois, Indiana, Kentucky, Minnesota, Montana, North Carolina, New Hampshire, New Jersey, New York, Ohio, Oregon, Pennsylvania, and Virginia.

Job Summary

The Data Analyst role is to write code, build data pipelines, and apply AI to turn revenue data into actionable insight and automation. This role is crucial in strengthening data integrity, ensuring accurate reporting, and building analytics that help to win new business, expand existing accounts, and improve internal efficiency. Ideal candidate is a strong programmer and analytical thinker who is comfortable working in SQL and Python, putting AI tools to practical use, and explaining results to non-technical audiences. HubSpot CRM experience is preferred, but we value your ability to work with data at scale more than your familiarity with any single platform. You will support decision-making, sales, and customer success.


Key Responsibilities:
Data Engineering & Integrity

- Build and maintain Python and SQL scripts and pipelines that move and transform data between HubSpot and other systems, keeping it accurate, complete, and consistent.
- Design and run data cleansing initiatives that eliminate duplicates, correct misaligned fields, and standardize company and contact records, using repeatable, code-driven methods rather than one-off manual fixes.
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