Luxury Presence is hiring a
Senior Analytics Engineer, Remote - Canada

Summary

The job is for a Senior Analytics Engineer at Luxury Presence, a rapidly growing real estate marketing platform. The role involves managing the analytics tech stack, designing data pipelines, building data models, implementing data orchestration tools, supporting analysts in developing dashboards and reports, working with key stakeholders to define KPIs, and supporting development of predictive models. The position is remote and offers stock options, flexible PTO, health/vision/dental insurance, retreats, among other benefits.

Requirements

• Advanced knowledge of SQL
• Proficiency in any statistical programming language (i.e, Python or R)
• Strong understanding of data engineering principles, including data modeling, ETL/ELT processes, and data warehousing
• 3+ years in doing analytics with a robust understanding of statistical concepts
• Experience working with BI tools (Tableau, SiSense, Sigma, or Looker etc)
• Ability to communicate technical concepts to both technical and non-technical audiences through visualizations and presentations
• Experience with cloud data warehouse and transformation tools (e.g.,, snowflake, DBT etc)
• Ability to partner with leadership and stakeholders across the company to understand business needs and how these can be addressed through analytics

Responsibilities

• Manage our modern analytics tech stack to support the democratization of data and analytics through dashboards, reports, and predictive models
• Design, develop, and maintain scalable data pipelines and ETL processes
• Build production-ready data models and schemas using DBT to support downstream analytics
• Implement data orchestration tools to automate and streamline data workflows
• Develop and maintain comprehensive documentation for data processes and systems
• Support analysts in developing dashboards, data products, and ad hoc report studies to analyze and present data associated with GTM analytics, product performance, business operations, and strategic decision making
• Work with key stakeholders and the leadership team to define and monitor KPIs across the company
• Support development of predictive models to support strategic and operational initiatives

Preferred Qualifications

• M.S. or phD in Math, Statistics, or closely related quantitative field
• Experience working closely with data engineering building and managing ETL and rETL workflows
• Experience building supervised and unsupervised learning models
• Experience working in a B2B or SaaS environment supporting sales, marketing, product and/or customer success

Benefits

• Stock Options
• Flex PTO
• Health/Vision/Dental Insurance
• Retreats