Data Analyst

About CloudTrucks

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.

About the Data Analytics Team

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.

Role Overview

As a Data Analyst at CloudTrucks, you’ll have the opportunity to work with multiple teams across the company. You’ll own data pipelines, reporting and in-depth analyses that help these teams make day-to-day and product decisions.

Example Projects

• Engineering: Our engineering teams are using LLMs on multiple products and features. As a data analyst, you’ll play a key role helping PMs and engineers build the metrics they need to ensure these products are performing as expected, help them understand user adoption and new opportunities for product improvement.
• Operations and Business Consultants: These teams focus on supporting drivers during the process of booking their loads and while they are on the road. As a data analyst, you’ll have the opportunity to work closely with these teams and leverage data to best help our drivers when they support.

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 and make product decisions.
• Communicate insights and recommendations to a broader audience, including technical and non-technical stakeholders.

What We Are Looking For

• 3+ years of experience as an analyst
• Interest in Freight Industry
• Interest in product analytics and helping teams make better data-driven decisions
• Strong working knowledge of SQL and experience with Business Intelligence tools (Looker, Heap, Amplitude)
• 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 tools like Salesforce, HubSpot, Zendesk
• Experience working at high-growth startups. Preference for experience in consumer tech, marketplace, or SaaS industries.

Our Culture

We value high autonomy, ownership, and delivering results - in short - whatever it takes to set our customers up for success. We encourage each other to push the envelope, execute quickly, and be resilient to failure. We also work occasional late nights or weekends to deliver an above-and-beyond customer experience, while respecting and celebrating each other's personal background, values and commitments. In return, we are well compensated, take pride in seeing outsized impact to our product, and have memorable experiences.

Job Details

• Salary: $130K - $165K
• Location Type: Hybrid
• Employment Type: FullTime