Senior Data Analyst, Doma

• 3-5 years contributing to data analytics, business intelligence, or data science projects, ideally across a variety of professional contexts (e.g. start-ups and large companies, or consumer- and business-facing applications)
• Professional experience using Looker — LookML, dashboard design, and data modeling
• Ability to write complex SQL joins in your sleep
• Professional experience writing code with proficiency in Python, git, and similar tools
• Ability to communicate technical concepts to people throughout the company, including business partners in Operations, Product, and senior leadership
• Strong opinions, loosely held, about all things data

Desirable

• Doma is looking for a Senior Data Analyst to own and evolve Looker, the business intelligence platform our Operations teams rely on for real-time, day-to-day reporting — SLAs, exception management, escalations, hands-on time reporting, turnaround times, vendor management, and more
• You’ll be the primary point of contact for Looker across the company: owning the connectivity between Snowflake and our other source data and Looker end-to-end, building and maintaining the dashboards that keep Operations running, safeguarding data quality and provenance, and partnering with Finance, Data Science, and other business units on their reporting needs
• We’re also looking for someone excited about what comes next — ideally with experience building or working hands-on with AI/agentic reporting tools — to help us build an agentic reporting layer on that same underlying data so business users can self-serve ad hoc questions that don't require long term dashboards
• Use your raw data analysis intuition to revolutionize a 150-year-old industry
• Own, build, and maintain the Looker dashboards and data models that Operations, Finance, and Data Science depend on every day
• Own the connectivity between Snowflake and other source data and Looker — the pipelines, data models, and integrations that keep our reporting layer accurate and current end-to-end
• Be the primary point of contact for Looker company-wide — fielding requests, triaging issues, and setting standards for how dashboards get built
• Oversee data quality and data provenance across our reporting layer
• Play a key role in day-to-day operational decision-making — SLAs, exception management, escalations, hands-on time reporting, turnarounds, and vendor management — through rapid delivery of insights
• Design and help build an agentic reporting layer on top of our existing data — working hands-on with AI reporting agents so business users can self-serve ad hoc requests instead of filing a ticket
• Learn and leverage the ins and outs of a complex, valuable problem domain in title insurance and real estate