Senior Data Analyst

Doma; New York (NY); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401K plan

Paid time off

Flexible work options

Job summary

Doma seeks a Senior Data Analyst to own and evolve Looker, the BI platform our Operations teams rely on for real-time reporting and SLAs. You will be the primary Looker contact company-wide, connecting Snowflake with Looker and building dashboards that keep Operations, Finance, and Data Science running smoothly.

Ideal candidates have 3–5 years in data analytics or BI, strong SQL and LookML, Python with Git, and a passion for AI/agentic reporting tools to enable self-serve insights and rapid

Qualifications

• 3–5 years contributing to data analytics or BI projects.
• Proficient in SQL and Looker/LookML.
• Experience with Python and version control (Git).
• Ability to communicate technical concepts to non-technical partners.
• Experience with AI/agentic reporting tools is a plus.

Responsibilities

• Own and evolve Looker dashboards and models used by Operations, Finance, and Data Science.
• Maintain data quality and provenance across the reporting layer.
• Manage data pipelines between Snowflake and Looker.
• Serve as primary Looker contact across the company.
• Collaborate with Finance, Data Science, and business units on reporting needs.

Skills

SQL

Looker/LookML

Data modeling

Python

Communication

Stakeholder management

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Looker

Git

Job description

• 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

Benefits

• We fully support the career development of our team and provide access to development opportunities at all levels
• We offer multiple coverage options so you can find the right fit for your health care, vision, dental, 401K, life insurance, and AD&D plans
• We offer generous paid time off and family leave, as well as flexible working options for many roles

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)Ability to write complex SQL joins in your sleepProfessional experience using Looker — LookML, dashboard design, and data modelingStrong opinions, loosely held, about all things dataAbility to communicate technical concepts to people throughout the company, including business partners in Operations, Product, and senior leadershipProfessional experience writing code with proficiency in Python, git, and similar toolsIdeally, hands-on experience building, configuring, or working with AI/LLM-based reporting agents or similar agentic analytics tooling — prompt design, pipeline setup, and keeping an agent grounded in accurate underlying dataExperience owning data pipelines or connectivity between a warehouse (e.g. Snowflake) and a BI tool like LookerExperience in the domains of risk, real estate, title, and/or insuranceExperience owning data quality or governance for a BI platform at scale