Head of Data, Analytics & Data Science
Head of Data, Analytics and Data Science
We’re seeking a Head of Data, Analytics & Data Science to lead our data strategy end-to-end: analytics, BI, and applied data science. This role blends hands-on technical leadership with strategic ownership of our Google Cloud data platform, Tableau-based analytics, and predictive and optimization use cases.
You’ll be responsible for turning operational and event-level data into trusted reporting, predictive insights, and decision support across the business.
Key Responsibilities
Data And Analytics
Define and own the company’s data, analytics, and data science strategy
Lead and evolve our data platform on Google Cloud Platform, with BigQuery at the core
Design and maintain scalable data pipelines, models, and semantic layers
Own and govern analytics delivered via Tableau, including executive and operational dashboards
Partner with product and engineering on data instrumentation and event design
Establish best practices for data quality, governance, privacy, and cost controls
Build, mentor, and lead data analytics and data science team members
Platform Engineering
- Lead applied data science initiatives including:
- Parcel volume forecasting
- Network and route optimization support
- Service-level performance analysis
- Experimentation and measurement
- Enable and support ML workflows, including feature engineering and model deployment patterns
Leadership
Build, mentor, and lead a high-performing Data, Analytics and Data Science team
Collaborate with Product, Engineering, and Operations leaders to enable a data driven business
Report program health, risks, and improvements to the CTO and executive team.
Qualifications
8+ years experience across data analytics, BI, and data science
Proven success leading data teams in a production environment
Deep hands-on experience with Tableau (design, performance, and governance)
Strong expertise in Google BigQuery
Experience with GCP data services, including:
- BigQuery
- Cloud Storage
- Pub/Sub
- Dataflow and/or Dataproc
Advanced SQL skills and strong data modeling background
Experience with Python for analytics and data science
Experience building and operationalizing predictive or optimization models
Ability to communicate insights clearly to non-technical stakeholders
Why Join Better Trucks?
Shape the Data, Analytics and Data Science strategy at a fast-growing logistics tech company.
Work with a modern stack in Google Cloud across APIs, data platforms, and mobile ecosystems.
Lead a talented team that values innovation, automation, and continuous improvement.
Competitive compensation, equity, and benefits package.
How to Apply:
If you are excited about building secure, resilient, and scalable platforms at the intersection of technology and logistics, we’d love to hear from you. Please apply by emailing us at tech-recruiting@bettertrucks.com with your resume and a short note about why you’re the right fit.