At Autofleet, we're transforming the way fleets operate by leveraging data, automation, and AI to power smarter mobility. As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform

What you'll do:

• Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement
• Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel
• Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product
• Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights
• Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools
• Develop automated data pipelines and analytical workflows using Python and Airflow
• Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making
• Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations
• Build internal tools and processes that improve data accessibility and operational efficiency
• Translate complex data findings into clear recommendations for both technical and non-technical stakeholders
  
  
  

Requirements

• 5+ years of experience in Product Analytics, Data Analytics, Analytics Engineering, or a similar analytical role, with a track record of owning product analytics end to end
• Hands-on experience building product analytics infrastructure from scratch, including event tracking design and taxonomy — Mixpanel experience required
• 4+ years of hands-on Python experience in a professional environment
• Strong SQL skills and experience working with large-scale datasets
• Experience building and maintaining workflows using Apache Airflow
• Experience using AI-assisted coding tools such as Claude Code as part of your day-to-day workflow
• Experience with BI and visualization platforms such as Looker, Tableau, Power BI, or similar
• Strong analytical thinking and problem-solving abilities
• Ability to independently lead projects and take ownership from definition through execution, especially in ambiguous, 0-to-1 situations
• Excellent communication skills and ability to present findings to diverse audiences
• Professional working proficiency in English, both written and spoken