Lead Analytics Engineer

Lennar is hiring an Lead Analytics Engineer in Miami, FL (onsite) to shape the direction of the company’s 3rd Party data strategy
. In this role, you will drive analytics roadmap priorities, partner across departments to align purchased data with stakeholder needs, and help ensure governance and security requirements are met while delivering measurable business value.

• Oversee the end-to-end analytics function for Lennar’s 3rd Party Data
  , setting strategic direction and priorities.
• Lead the development and execution of the department data strategy
  , including initiatives to improve data infrastructure and processes across the organization.
• Drive innovation in data engineering and analysis practices
  , staying current with industry trends and technologies.
• Serve as the primary liaison between the data product team and senior leadership
  .
• Ensure compliance with data governance and security policies
  , supporting responsible data management.

• Bachelor’s degree in a related field;
  Master’s degree preferred
  .
• 8+ years of experience in analytics engineering, including a proven track record leading successful projects.
• Strong leadership skills, including experience leading teams and setting strategic direction for data initiatives.
• Expertise managing enterprise-level data
  , including big data platforms and cloud data ecosystems such as AWS Redshift and Google Big Query
  .
• Proficiency designing and implementing data strategies aligned with organizational goals.
• Mastery of SQL
  , including database management, optimization, and complex ETL processes.
• Expertise in Python or R for advanced analytics, including deep learning and AI
  , with experience deploying models in production environments
  .
• Expertise leading enterprise-wide dashboards and reporting solutions with an emphasis on user experience and actionable insights
  .
• Proficiency using advanced visualization libraries and tools for bespoke analytics solutions.
• Deep expertise in data architecture
  , designing scalable infrastructures integrating multiple sources such as APIs, data lakes, and warehouses
  .
• Experience leading data integration projects to ensure seamless data flow across systems.
• Deep understanding of data governance frameworks
  , data stewardship, and best practices.
• Knowledge of common use cases such as dynamic pricing
  , prediction
  , and supply chain optimization
  .
• 2+ years experience leading data projects, managing timelines, resources, and stakeholder expectations.
• Exceptional ability to influence senior leaders with data-driven insights
  , resolving complex, high-stakes problems.
• Collaborative, change-agent mindset with a focus on integrity, accountability, resilience, and developing future leaders.
• Ability to operate computer equipment and perform typical office physical requirements, including the ability to lift and move and carry up to 25 lbs
  .

• SQL
  , Python
  , R
• Deep learning
  , AI
• AWS Redshift
  , Google Big Query
• APIs
  , data lakes
  , warehouses

• Health insurance plans (Medical, Dental, Vision)
• 401(k) Retirement Plan with $1 for $1 Company Match up to 5%
• Paid Parental Leave
• Associate Assistance Plan
• Education Assistance Program
• Adoption Assistance up to $30,000
• Vacation (up to three weeks annually)
• Holiday
• Sick Leave
• Personal Day policies
• New Hire Referral Bonus Program
• Home Purchase Discounts