Lead Analytics Engineer

Own and execute the analytics roadmap for Lennar’s 3rd Party data strategy while leading enterprise analytics engineering.

Responsibilities

• Oversee the analytics function for Lennar’s 3rd Party Data, defining strategic direction and setting priorities
• Lead development and execution of the department’s data strategy
• Drive innovation in data engineering and analysis practices by monitoring industry trends and emerging technologies
• Partner across departments to ensure purchased data supports stakeholder needs and delivers business value
• Serve as the primary liaison between the data product team and senior leadership
• Lead initiatives that improve data infrastructure and organizational data processes
• Ensure compliance with data governance and security policies

Requirements

• Bachelor’s degree in a related field; Master’s degree preferred
• 8+ years of experience in analytics engineering, including a record of leading successful projects
• Strong leadership skills, including leading teams and setting strategic direction for data initiatives aligned with business objectives
• Expertise managing enterprise-level data across big data platforms and cloud data ecosystems, including AWS Redshift and Google BigQuery
• 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
• Experience leading enterprise-wide dashboards and reporting solutions with focus on user experience and actionable insights
• Proficiency using advanced visualization libraries and tools for bespoke analytics solutions
• Expertise in data architecture, including scalable infrastructure that integrates multiple sources such as APIs, data lakes, and warehouses
• Proficiency leading data integration projects to ensure seamless data flow across systems
• Deep understanding of data governance frameworks, data stewardship, and data management best practices
• 2+ years experience leading data projects, managing timelines, resources, and stakeholder expectations
• Proven ability to integrate new technologies and methodologies into existing frameworks
• Knowledge of common use cases such as dynamic pricing, prediction, and supply chain optimization
• Exceptional ability to influence and engage senior leaders with data-driven insights
• Proven skill in resolving complex, high-stakes problems with innovative solutions
• Demonstrated collaboration, mentoring, and fostering continuous learning and innovation
• Ability to keep abreast of emerging trends in data science, AI, and big data technologies
• Behavioral competencies: integrity and ethical behavior, resilience during adversity, accountability, and acting as a change agent
• Capability to coordinate efforts across multiple departments to ensure alignment with organizational goals
• Provides visionary leadership and develops future leaders within the organization
• Primarily a sedentary office position; must be able to operate computer equipment and perform physical tasks including speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs; finger dexterity required

Technologies

• SQL
• Python
• R
• Deep learning
• AI
• AWS Redshift
• Google BigQuery
• APIs
• Data lakes
• Warehouses

Benefits

• 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
• Up to $30,000 in Adoption Assistance
• Vacation (up to three weeks annually)
• Holiday
• Sick Leave
• Personal Day policies
• New Hire Referral Bonus Program
• Home Purchase Discounts