Lead Analytics Engineer

Unclassified - New York, NY

Full-time - Mid Level

Remote - New York, NY

About the position

As the Lead Analytics Engineer at Revv Labs, Inc., you will be at the forefront of defining the Analytics function within our innovative B2B SaaS company. Revv is revolutionizing the auto collision industry through AI and machine learning solutions that streamline processes and enhance road safety. Your primary responsibility will be to establish a scalable data warehouse that serves as the backbone for our analytics efforts. This role requires a hands-on approach, where you will collaborate closely with our engineering team to build the data warehouse from the ground up, providing recommendations and expertise in warehouse selection and CI/CD processes. In addition to building the data warehouse, you will be tasked with crafting intuitive and user-friendly data models using dbt, ensuring that various stakeholders, including finance, product, and sales teams, can easily draw insights from our data. Your expertise in SQL and data exploration tools like Metabase will be crucial in fostering a self-serve analytics culture within the organization. You will also be responsible for setting up analytics tooling and documentation that empowers stakeholders across the business to access and utilize data effectively. The ideal candidate for this position will possess a strong opinion on best practices in analytics and be driven to create a best-in-class Analytics organization in a fast-growing environment. You will be expected to be hands-on with all levels of the analytics stack, from dbt CI/CD to dashboards and visualization tools, ensuring that our analytics capabilities are robust and scalable for years to come.

Responsibilities

• Establish a data warehouse by collaborating with the engineering team and providing recommendations for warehouse selection and CI/CD.
• Use low- and no-code ELT tools like Fivetran to pull data from various sources into the warehouse.
• Craft intuitive and user-friendly data models in dbt to meet stakeholder requirements for finance, product, and sales teams.
• Set up analytics tooling and documentation that enables self-service for stakeholders across the business.

Requirements

• Expertise with SQL & dbt is a must-have.
• Proficiency with Python or equivalent programming languages.
• 5+ years of experience in Analytics Engineering, Data Engineering, or Data Analytics roles.
• Skilled in dimensional and reporting data models, including dimension & fact tables and time series aggregations.
• High attention to detail and a strong focus on data governance, documentation, and best practices.
• Excellent communication skills, with the ability to translate complex stakeholder reporting requirements into scalable data models.
• A desire to be hands-on with all levels of the analytics stack, from dbt CI/CD to dashboards and visualization tools.

Nice-to-haves

• Experience with low- and no-code ELT tools like Fivetran/Airbyte.
• Familiarity with data exploration tools like Metabase or Looker.

Benefits

• Hybrid work environment for HQ employees (Monday and Friday work from home).
• Option to be fully remote.
• Multiple health, dental, and vision plan options.
• 401k plan.
• Unlimited PTO.
• Complimentary Headspace account.