Senior Analytics Engineer

QED Investors is a company focused on making life simpler and more affordable for homeowners. As a Senior Analytics Engineer, you will bridge the gap between data engineering and business intelligence, focusing on building reliable data models and tools to support decision-making across the company.

Responsibilities:

• Develop and maintain Kin’s Looker semantic layer, including LookML views, explores, and user-friendly dashboards
• Partner with domain data engineers to standardize definitions, metrics, and calculations while performing data analysis, validation, and exception reporting across business lines
• Support and administer Looker or similar BI platform (permissions, performance tuning, content lifecycle, QA)
• Model and maintain dimensional models to support enterprise analytics and reporting
• Collaborate with Finance, Marketing, and Product to deliver and maintain high-impact reports and KPIs
• Implement data quality monitoring for trusted business reporting
• Champion documentation and reusable data patterns for BI development
• Partner with the broader data platform team to evolve our Lakehouse and data governance practices

Requirements:

• 3–5+ years in analytics engineering, BI engineering, or dimensional modeling roles
• Advanced SQL knowledge and experience transforming raw data from multiple sources into an enterprise data warehouse
• Hands-on experience with Looker or a similar BI platform (e.g., Tableau, Power BI, Mode) including semantic modeling, explores, and dashboard design
• Familiarity with Databricks, Snowflake, or Redshift in a lakehouse or warehouse context
• Strong understanding of dimensional modeling, lakehouses, and ELT best practices
• Excellent communication and stakeholder-facing skills—you can translate business needs into data solutions
• Passion for data accuracy, consistency, and self-service analytics
• Experience with Python, Git-based workflows, or BI admin automation