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

Summary

The Sr. Analytics Engineer will manage the analytics tech stack, design data pipelines, develop data models, implement data orchestration tools, support analysts in developing dashboards, work with key stakeholders to define and monitor KPIs, and support development of predictive models at Luxury Presence, a fast-growing real estate marketing platform.

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