Data Analyst

Vitu is a vehicle-to-government technology company that provides services for the motor vehicle industry. The Data Analyst I role develops data pipelines, analytics, dashboards, and AI-assisted workflows to improve revenue insights, data integrity, reporting, business development, customer success, and internal efficiency.

Responsibilities:

• 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
• Build, maintain, and automate dashboards in PowerBI tools (such as Data Studio) and HubSpot that visualize key performance metrics
• Translate raw data into clear, executive-ready reports and recommendations that influence business strategy
• Support ad hoc analytics requests from leadership, providing accurate, timely insights across multiple departments
• Design, build, and deploy AI-assisted workflows (LLM APIs, prompt design, agents) that automate reporting, data enrichment, classification, and summarization
• Evaluate AI tools and models for operational use cases, weighing accuracy, cost, and risk, and recommend where they add real value
• Document and monitor AI-driven processes so results stay reliable and auditable
• Identify and automate manual reporting and repetitive data tasks, in HubSpot and beyond

Requirements:

• 4 to 7 years of experience in data analytics, business intelligence, or revenue operations
• Strong proficiency in SQL and Python, including data manipulation , scripting for automation, and working with REST APIs
• Hands-on experience applying AI and LLM tools to real workflows (for example, LLM APIs, prompt engineering, or AI-assisted automation)
• Ability to communicate complex data insights clearly to non-technical stakeholders
• HubSpot CRM experience (properties, workflows, custom reports, data migration)
• Experience with Coefficient or similar spreadsheet-to-CRM connectors
• Experience with a cloud data warehouse (such as BigQuery) and version control (Git)