Lead Analytics Engineer

Role Overview

The Lead Analytics Engineer will own setting and driving the road map for Lennar’s 3rd Party data strategy, partnering across departments and domains to ensure that the 3rd Party data meets the needs of stakeholders and drives value for the business.

What You Will Do

Key responsibilities include overseeing the entire analytics function for Lennar’s 3rd Party Data, driving innovation in data engineering and analysis practices, serving as the primary liaison between the data product team and senior leadership, and leading initiatives to improve data infrastructure and processes across the organization.

Why It Might Be a Fit

The ideal candidate will have 8+ years of experience in analytics engineering, a proven track record of leading successful projects, strong leadership skills, and expertise in managing enterprise-level data, including big data platforms and cloud data ecosystems.

Requirements

• Bachelor’s degree in a related field; Master’s degree preferred
• 8+ Years of experience in analytics engineering, with a proven track record of leading successful projects
• Strong leadership skills
• Expertise in managing enterprise-level data, including big data platforms and cloud data ecosystems (e.g., AWS Redshift, Google BigQuery)
• Proficient in designing and implementing data strategies aligned with organizational goals
• Mastery of SQL, with experience in database management, optimization, and complex ETL processes
• Expertise in Python or R for advanced analytics, including deep learning and AI, with experience in deploying models in production environments
• Expert in leading the development of enterprise-wide dashboards and reporting solutions, with an emphasis on user experience and actionable insights
• Proficiency in using advanced visualization libraries and tools for bespoke analytics solutions
• Expert in data architecture, including designing scalable data infrastructures that integrate multiple data sources (e.g., APIs, data lakes, and warehouses)
• Proficient in leading data integration projects, ensuring seamless data flow across systems
• Deep understanding of data governance frameworks, data stewardship, and best practices for data management
• Strong experience in leading teams, setting strategic direction, and driving data initiatives that align with business objectives
• Expertise in mentoring and developing data teams, fostering a culture of continuous learning and innovation
• 2+ years experience leading data projects, managing timelines, resources, and stakeholder expectations

Benefits

• Robust health insurance plans, including Medical, Dental, and Vision coverage
• 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%
• Paid Parental Leave
• Associate Assistance Plan
• Education Assistance Program
• Up to $30,000 in Adoption Assistance
• Up to three weeks of vacation annually
• Generous Holiday, Sick Leave, and Personal Day policies
• New Hire Referral Bonus Program
• Significant Home Purchase Discounts
• Unique opportunities such as the Everyone’s Included Day

Tagged as: BigQuery, Python, SQL