Architect the Business Insights Foundation
Partner with data engineers to design, build, and maintain analytics transformation layers that act as a single source of truth for downstream reporting, BI, and data science use cases.
Deliver Business Facing Insights
Own the complete analytics lifecycle—from requirements gathering and data modeling to scalable dashboards and self service analytics solutions.
Stakeholder Collaboration
Serve as the technical analytics partner to business stakeholders, translating functional and strategic needs into automated, scalable data solutions.
Data Storytelling
Develop compelling dashboards, metrics, and analytical narratives that communicate insights effectively to both technical and non technical audiences.
Build for Scale & Reusability
Design standardized, reusable business metrics and data models that support automated reporting and enable deep dive self service analysis.
Apply Engineering Best Practices
Improve analytics infrastructure using software engineering principles such as version control, modular design, testing, documentation, and performance optimization.

Experience
4+ years of industry experience in analytics engineering, data engineering, or advanced analytics roles.
SQL & Data Modeling
Expert level SQL skills with demonstrated experience building production grade data models in cloud data lakehouse environments such as Snowflake or Databricks.
Analytics Platform Expertise
Strong experience designing scalable analytics layers that support BI, operational reporting, and advanced analysis.
Visualization & Self Service Analytics
Hands on experience developing dashboards and self service analytics using tools such as Tableau, Power BI, or Looker.
Business Acumen
Proven ability to partner with business users and translate ambiguous requirements into impactful analytics solutions.
Ownership Mentality
Self starter with strong accountability, a growth mindset, and the ability to deliver high quality outcomes independently and collaboratively.
Collaboration
Team oriented mindset with excellent communication skills and appreciation for diverse perspectives.
Nice to Have Skills
Experience with customer acquisition, sales funnel, or revenue analytics.
Prior exposure to the real estate industry or other fast moving, market driven domains.
Familiarity with metrics governance, data quality frameworks, or analytics enablement practices.
Experience working closely with data science or experimentation teams.

Senior Analytics Engineer

Key skills