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
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Define and own the company’s data, analytics, and data science strategy
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Lead and evolve our data platform on Google Cloud Platform, with BigQuery at the core
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Design and maintain scalable data pipelines, models, and semantic layers
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Own and govern analytics delivered via Tableau, including executive and operational dashboards
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Partner with product and engineering on data instrumentation and event design
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Establish best practices for data quality, governance, privacy, and cost controls
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Build, mentor, and lead data analytics and data science team members
Platform Engineering
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Lead applied data science initiatives including:
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Parcel volume forecasting
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Network and route optimization support
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Service-level performance analysis
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Experimentation and measurement
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Enable and support ML workflows, including feature engineering and model deployment patterns
Leadership
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Build, mentor, and lead a high-performing Data, Analytics and Data Science team
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Collaborate with Product, Engineering, and Operations leaders to enable a data driven business
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Report program health, risks, and improvements to the CTO and executive team.
Qualifications
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8+ years experience across data analytics, BI, and data science
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Proven success leading data teams in a production environment
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Deep hands-on experience with Tableau (design, performance, and governance)
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Strong expertise in Google BigQuery
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Experience with GCP data services, including:
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BigQuery
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Cloud Storage
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Pub/Sub
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Dataflow and/or Dataproc
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Advanced SQL skills and strong data modeling background
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Experience with Python for analytics and data science
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Experience building and operationalizing predictive or optimization models
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Ability to communicate insights clearly to non-technical stakeholders
Why Join Better Trucks?
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Shape the Data, Analytics and Data Science strategy at a fast-growing logistics tech company.
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Work with a modern stack in Google Cloud across APIs, data platforms, and mobile ecosystems.
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Lead a talented team that values innovation, automation, and continuous improvement.
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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.