Sr. Analytics Engineer

At Tomofun, we LOVE pets and technology. Our vision is to bring joy and innovation to every pet lover in the world.

We are pioneers in the pet tech industry. Our debut product, Furbo - the world's first AIoT treat-tossing pet camera, is the #1 bestseller on Amazon in 15 countries, including the US, UK, and JP and have millions of users in 133 countries. In 2019, we launched an AI-powered subscription service, the Furbo Pet Nanny, which sends smart alerts to our users to notify them to check on the safety of their furbabies when they are home alone. Since the launch of Furbo Pet Nanny, we have saved hundreds of pets' lives and are continuing to innovate and develop new features with our state-of-the-art technology.

The learning curve is steep. But the work is exhilarating. Tomofun is on the cusp of a pet-tech boom and we’re looking for smart, innovative thinkers who aspire to incredible things.

 

> Know more about us: furbo.com | LinkedIn | Medium Tech Blog

• Design and maintain tracking plans across our data ecosystem, including naming conventions, event schemas, and user properties.
• Build and maintain data pipelines in Databricks using Python, Spark, SQL with Delta Live Tables (DLT).
• Define, implement, and document core business metrics (e.g. churn, MRR, engagement, conversions) at the data model layer.
• Own and develop Tableau dashboards, delivering clear and actionable insights to business and product stakeholders.
• Collaborate with Data Scientists to integrate model outputs (e.g. churn scores, segmentation) into production-ready datasets and reporting.
• Support self-service analytics and ensure consistency and clarity in metric definitions.
• Leverage AI tools (e.g. ChatGPT, GitHub Copilot, or internal automation) to enhance productivity and improve modeling workflows.
• Ensure data quality, governance, and documentation across all owned datasets and dashboards.

• 3+ years in an Analytics Engineer, Data Engineer (analytics-focused), or BI Engineer role.
• Hands-on experience of building data pipelines on Databricks or Spark environments with Python.
• Knowledge of ELT process patterns, Dimension modeling, and Medallion architecture.
• Strong SQL and experience building and maintaining gold-level datasets.
• Experience designing and maintaining Tableau dashboards for cross-functional teams.
• Comfortable working directly with engineers on event instrumentation and data validation.
• Familiarity with Mixpanel, Braze, or similar event-based tools (Segment, Amplitude, etc.).
• Able to translate business questions into data products, and ensure consistent metric definitions.
• Interest in leveraging AI tools to optimize data development and analysis workflows.
• Strong problem-solving skills and attention to detail.
• Ability to manage multiple projects simultaneously and prioritize effectively.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.