The trucking industry is the backbone of the global economy. More than 70% of what we consume in the U.S. is moved by trucks. Those trucks are powered by over 3.5 million drivers per year and create over $700B in annual revenue. Trucking is a massive industry but it is a traditional industry and like many traditional industries, it is ripe for innovation.

CloudTrucks is building the operating system for trucking and is the first platform specifically designed to empower truck drivers. Our all-in-one, “business in a box” solution optimizes and automates operations and accelerates cash-flow for drivers, so they can focus on building their business.

The Data Analytics team at CloudTrucks owns all business reporting end-to-end, and develops both internal and customer-facing, data analytics products in collaboration with Product development teams.

As a Data Analyst supporting the Go-To-Market (GTM) teams at CloudTrucks, you’ll have the opportunity to work with multiple teams across the company, including Sales, RevOps, Marketing and Growth Engineering. You’ll own data pipelines, reporting and in-depth analyses that help these teams make day-to-day product and business decisions.

Examples of projects that you may work on

• Growth Engineering Our Growth engineering team has the mission to scale our driver onboarding flow. As a data analyst, you’ll play a key role helping PMs and engineers build metrics to ensure they have adequate visibility into the onboarding flow, help them define, run and measure experiments and gather insights about future product improvements.

• Marketing Our Marketing team is focused on driver acquisition. As a data analyst, you’ll have the opportunity to work closely with them to continue building and improving our Marketing Attribution models, and provide insights into the Marketing funnel and campaign performance.

• RevOps Our RevOps team works closely with Sales to onboard drivers to CloudTrucks. As a data analyst, you’ll have the opportunity to help the team track and measure each step of the sales funnel and look for opportunities where processes can be improved. You’ll be able to combine sales and product data to do in-depth analysis and provide insights into funnel performance, define, build and monitor revenue impact metrics.

Responsibilities

• Own end-to-end reporting from building the data pipeline to data visualization.

• Build data pipelines to support both internal and customer facing products, and collaborate with Product development teams to launch and measure success.

• Work cross-functionally to build KPIs, and develop complex transformative analyses that help teams improve their processes, make product and business decisions.

• Communicate insights and recommendations to a broader audience, include technical and non-technical stakeholders.

What we are looking for

• 3+ years of experience as an analyst

• Interest in Freight Industry

• Experience helping GTM teams (Marketing, Sales, RevOps, Growth) make better data-driven decisions

• Strong working knowledge of SQL and experience with Business Intelligence tools (Looker, Heap, Amplitude)

• Experience building and maintaining Marketing Attribution Models and measuring campaign performance. Alternatively, strong working experience with MMP tools (Mobile Measuring Partner tools, like Singular, Adjust, AppFlyer)

• Experience working with Ad Network data

• Experience working directly with Sales and RevOps teams, with strong familiarity with sales motions and sales KPIs

• Strong working experience with CRM tools like Salesforce or HubSpot

• Exposure to software engineering principles - version control, code reviews, unit testing.

• Strong interpersonal skills and ability to work cross-functionally.

• Experience working alongside both technical and non-technical teams.

• Ability to communicate and influence both technical and non-technical audiences.

• A natural curiosity and comfort trying new things that may not have existing playbooks.

• An intrinsic drive to automate menial or low value tasks.

Nice to haves

• Experience with Python or R

• Experience with data pipeline development tools like dbt, dataform

• Experience working in Freight Operations or Logistics

• Experience with Data Integration tools like Fivetran, Polytomic, Segment

• Experience with Lifecycle Marketing tools like Marketo or Braze

• Experience with Marketing Operations

• Experience working at high-growth startups. Preference for experience in consumer tech, marketplace