Lead Analytics Engineer

5 days ago

New York, New York, United States Revv LLC Full time

About Revv LLC


We are a B2B SaaS company revolutionizing the auto collision industry with AI and machine learning solutions that streamline processes and improve road safety.

Our mission is to reduce collisions and create a safer transportation future.


We are at the forefront of delivering cutting-edge software that delights customers.

About the role


As the Lead Analytics Engineer, you will play a pivotal role in defining the Analytics function at Revv LLC, and be responsible for establishing a scalable data warehouse, modeling data for consumption by various stakeholders in the business, and defining best practices with our data for years to come.


The ideal candidate will be opinionated and driven to apply their expertise to create a best-in-class Analytics organization in a fast-growing environment, using both tools from the modern data stack (dbt, Fivetran/Airbyte, Metabase/Looker, etc) as well as Python and shell scripts with a focus towards getting the job done.


Key Responsibilities


Establish a data warehouse:

Work with our engineering team to build a data warehouse from the ground up, providing recommendations and hands-on expertise for warehouse selection and CI/CD.

Use low- and no- code ELT tools like Fivetran to pull data from our various sources (Stripe, Salesforce, Postgres) into the warehouse.


Collaborative data modeling:

Craft intuitive and user friendly data models in dbt to meet stakeholder requirements for finance, product, and sales teams to draw insights from our data using SQL and data exploration tools like Metabase.


Foster a self-serve analytics culture:

Set up analytics tooling and documentation that enables self-service for stakeholders across the business.


Requirements


Expertise with SQL & dbt a must-have

Proficiency with Python or equivalent

5+ years of experience in Analytics Engineering, Data Engineering, or Data Analytics roles

Skilled in dimensional and reporting data models (dimension & fact tables, time series aggregations, etc)

High attention to detail and a compulsion for 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 & visualization tools


Benefits


Hybrid work environment for HQ employees(for non-Remote: 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


The pay range for this role is:

150,000 USD per year (HQ)

150,000 USD per year (Remote)

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