Analytics Engineer - Revenue Operations

The Revenue Operations team at CloudTrucks is a high impact, cross-functional, multi-disciplinary role supporting the GTM organization. Our mission is to drive Revenue Growth, alignment & performance of our GTM teams through holistic execution of our GTM Strategy. As the Revenue Analytics Engineer, you’ll build intelligent and scalable solutions that empower GTM teams like Marketing, Sales and Customer Success to drive acquisition, growth & retention. You will also operate as an extension of our Data team by expanding & stewarding data bridges across our quickly growing company.

As a member of the RevOps team, you will work primarily with our RevOps, Marketing & Sales leaders to design and implement best-in-class data driven solutions that boost efficiency and intelligence for the GTM organization. Your work will have a direct business impact on GTM leaders and empower acquisition strategy at CloudTrucks. You are focused on bringing order to chaos when it comes to data & our infrastructure - you want our integrations & data to flow seamlessly, you empower leaders with data for strategic decisions, and you understand where technical solutions can alleviate business problems.

Responsibilities:

Architect, build, and maintain critical data infrastructures to support the GTM teams, including compensation, metrics, and ad-hoc reporting and analysis
Build integrations with our 3rd party tools to get the right data in the hands of Sellers & Marketers at the right time - also to “close the loop” in data circulation
Work with Data & Sales Leadership to build a roadmap for state-of-art data solutions that are aligned with long term business strategies
Create dashboards that help our stakeholders understand the performance of the experiments and help them make decisions
Evolve our data warehouse as it relates to GTM data specifically
Add additional data, maintaining an organized, documented and well designed taxonomy for user facing tables
Apply engineering best practices to our data transformation layer
Improve the efficiency of our most demanding transformation queries with performant, clean SQL
Partner closely with Data Science, Marketing, GTM Business Technology and other engineering teams to effectively infuse data enrichment, experimentation, and machine learning models into the Marketing, Sales & CS workflows

Qualifications:

3-4+ years of experience as a Data Analyst, Analytics and/or Data Engineer with a focus on supporting GTM teams
Proficient knowledge of data warehouse architecture and experience of data modeling design, data sync, and visualization tools for a low/no-code analytics stack
Ability to make foundational design recommendations to push this envelope in support of our analytics needs
Experience with BigQuery & piping data in/out of a CRM (Salesforce data infrastructure a plus!)
Established history of writing complex, efficient and DRY SQL code
Strong Communication - Ability to collaboratively translate data & business needs across the organization

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