Lead Analytics Engineer Driving Data Solutions in PropTech
Luxury Presence
About the role
Location
Arborfield
About the Role
Join as a Lead Analytics Engineer to revolutionize data analytics in real estate technology. Focus on building analytical frameworks that optimize product, marketing, and operational decisions across teams.
In this role, you will integrate advanced analytics into the company's operations. Transform raw data into trustworthy datasets that support executive dashboards and detailed analyses. Collaborate effectively with diverse teams to create a scalable and performance-driven analytics stack.
Key Responsibilities
- Own and enhance the dbt project for data modeling
- Design and oversee the Snowflake data warehouse processes
- Implement robust testing and observability for datasets
- Drive consistent data metrics across departments
- Facilitate effective data access and empower users
Requirements
- 5+ years of experience in analytics or related fields
- Expertise in SQL and modern data modeling required
- Experience with platform metrics and user data
- Familiarity with large data solutions like Redshift or Snowflake
- Strong CI/CD workflow knowledge and automated testing
What You’ll Contribute
Contribute to scalable analytics solutions, enhancing data-driven initiatives that propel growth and improve decision-making across the organization.
Reference
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Requirements
- Expertise in SQL and modern data modeling required
- Experience with platform metrics and user data
- Familiarity with large data solutions like Redshift or Snowflake
- Strong CI/CD workflow knowledge and automated testing
Responsibilities
- Own and enhance the dbt project for data modeling
- Design and oversee the Snowflake data warehouse processes
- Implement robust testing and observability for datasets
- Drive consistent data metrics across departments
- Facilitate effective data access and empower users
Skills
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