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Vitu

Data Analyst Level I

Posted Yesterday
Remote
Hiring Remotely in United States
68K-72K Annually
Senior level
Remote
Hiring Remotely in United States
68K-72K Annually
Senior level
Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.
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Data Analyst Level 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.

Analytics & Reporting
  • 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.

AI & Automation
  • 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.

QualificationsRequired
  • 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.

Preferred
  • 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).

 

Compensation   

 

The salary range for this position is: $68,000-$72,000 annually

 

The final pay for this position will be determined by multiple factors including, but not limited to, location, education, experience, training and skills.

 

At Vitu, our engaged workforce is the key to our success. We are committed to creating a positive, inclusive, and motivating environment where employees feel valued, connected, and empowered. We have an Employee first culture and foster a collaborative environment where innovation, creativity, diverse ideas and opinions are valued. We value each team member and ensure they have the opportunity to grow and contribute to the success of our organization. 

 

At Vitu, we care for our employees and their families. We offer a comprehensive benefits package including 

 

  • Healthcare Coverage for you and your family covering Medical, Dental & Vision

  • Tax Advantage accounts such as Health Savings Account (HSA) & Flexible Spending Accounts (FSA)

  • Generous PTO

  • Pet Insurance

  • Retirement Planning

  • ID Theft Insurance

  • Life and Disability Insurance

  • Commuter Benefits

  • Accident & Hospital, Critical Illness Insurance

  • Tuition Reimbursement

 

Vitu is an Equal Employment Opportunity Employer. We value diversity and are dedicated to providing an equal and inclusive working environment. We are committed to providing an environment that is free from discrimination and harassment. We do not discriminate on the basis of race, color, religion, age, sex, sexual orientation, gender identity, ethnicity, national origin or ancestry, disability, marital status, veteran status or any other category protected by applicable federal, state or local law. Vitu is committed to providing reasonable accommodations when requested by an applicant or employee with disabilities, unless such accommodations would cause undue hardship. 


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