Description
Startup tech company.
They offers a no‑code AI workflow platform designed to help commercial real estate professionals — including brokers, landlords, and retail operators — simplify and automate routine and time‑intensive tasks. The core idea is to reduce manual busywork that slows down deal cycles and drains time.
Their platform lets users:
Build custom AI workflows in minutes without writing code
Automate site analysis and research (e.g., evaluating location data used in property decisions)
Keep deal pipelines up to date by automatically running tasks that would normally require manual input
Trigger outreach or next steps based on workflow results (e.g., follow‑ups)
Integrate conversational AI with visual workflow builders so teams can interact with their data naturally while the automation runs behind the scenes 24/7.
We are seeking a highly skilled Business Intelligence Specialist to take ownership of our Looker-based BI environment and broader analytics reporting. This role is responsible for developing and maintaining LookML models, dashboards, and Explores, while also providing strategic direction on data architecture, governance, security, and analytics best practices.
The ideal candidate is highly proficient in Looker and brings experience across other BI platforms to support scalable, future-ready decision-making.
Key Responsibilities
Looker Platform Ownership
Provide day-to-day support and maintenance for the Looker BI environment, ensuring platform reliability and performance
Develop and maintain LookML models, Explores, and dashboards based on business needs
Perform LookML updates, user administration, and performance optimization
Troubleshoot and resolve production issues during business hours
Build dashboards and reporting tables using BigQuery datamarts and datasets
Strategic Advisory & Governance
Review and recommend improvements to data model architecture for scalability and performance
Provide guidance on Looker security, access control, and governance frameworks
Establish and maintain metric governance, including definitions, logic, and ownership
Support implementation of conversational analytics use cases within Looker
Analytics Planning & Architecture
Evaluate existing dashboards and recommend improvements, redesigns, or decommissioning
Define dashboard user stories (audience, purpose, decisions supported, cadence)
Contribute to BI-agnostic architecture planning for flexibility and scalability
Ensure dashboards rely on a governed semantic layer rather than embedded transformations
Reporting & Documentation
Deliver weekly status reports covering completed tasks, hours, and upcoming deliverables
Maintain comprehensive documentation for LookML models, dashboards, and governance updates
Provide advisory reports with insights and recommendations on data architecture, security, and governance
Required Qualifications
3+ years of hands-on experience with Looker (LookML, Explores, dashboards)
Strong knowledge of data modeling (star schema, snowflake, denormalized models)
Experience with Looker security and access control (roles, model sets, user attributes)
Advanced SQL skills for analytical querying
Experience with cloud data warehouses (e.g., BigQuery, Redshift)
Solid understanding of BI governance and best practices
Preferred Qualifications
Experience with other BI tools (Tableau, Power BI, Sigma, or Metabase)
Familiarity with dbt or similar data transformation tools
Exposure to conversational analytics or natural language querying
Experience in franchise, retail, or multi-location environments
Familiarity with Git-based version control for LookML
Understanding of Customer Lifetime Value (CLV) modeling