Senior Data Analyst
New
J
JobgetherReal Estate, Insurance
Remote work within the United States.Full-TimeSenior
SalaryBase salary of $92,000–$120,000 USD.
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Job Details
- Experience
- 3–5 years of professional experience
- Required Skills
- PythonSQLBusiness IntelligenceGitSnowflakeData modelingLooker
Requirements
- 3–5 years of professional experience contributing to data analytics, business intelligence, or data science projects.
- Hands-on professional experience with Looker, including LookML, dashboard development, and data modeling.
- Strong SQL skills, including the ability to write and optimize complex joins and analytical queries.
- Professional programming experience with Python, Git, and comparable development tools.
- Experience communicating technical data concepts clearly to both technical and non-technical audiences.
- Strong analytical judgment, curiosity, and the ability to form clear perspectives.
- Experience building or working with AI/LLM-powered reporting agents or agentic analytics tools is highly desirable.
- Experience managing data pipelines or integrations between a cloud data warehouse such as Snowflake and a BI platform is a plus.
- Experience with risk, real estate, title insurance, or related industries is advantageous.
- Experience owning data quality, governance, or reporting standards for a BI platform at scale is a plus.
Responsibilities
- Own, build, maintain, and continuously improve Looker dashboards and data models used by Operations, Finance, Data Science, and other business teams.
- Manage the end-to-end connectivity between Snowflake, other source systems, and Looker, including data pipelines, integrations, and reporting models.
- Serve as the primary company-wide point of contact for Looker, handling requests, troubleshooting issues, and establishing standards for dashboard development.
- Monitor and safeguard data quality, accuracy, consistency, and provenance across the reporting environment.
- Deliver timely insights that support day-to-day operational decisions, including SLAs, exception management, escalations, turnaround times, hands-on time reporting, and vendor management.
- Partner with business and technical stakeholders to understand reporting needs and translate them into scalable analytics solutions.
- Help design and implement an agentic reporting layer that enables business users to answer ad hoc questions through AI-powered reporting tools.
- Explore and apply AI and agentic analytics capabilities while ensuring reporting agents remain grounded in accurate, reliable underlying data.
- Develop a strong understanding of the title insurance and real estate domains to provide increasingly valuable analytical insights.
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