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Lead Analytics Engineer

Lennar

Miami, FLSeniorH-1B sponsor company
Sign in to applyVerified
Location
Miami, FL
Work model
On-Site
Level
Senior
H-1B history
6 approvals (FY2023)
Posted

Skills

AWSBigQueryDeep LearningPythonRedshiftSQL

About this role

We are Lennar   Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future The Lead Analytics Engineer will own setting and driving the road map for Lennar’s 3rd Party data strategy. They will partner across departments and domains to ensure that the 3rd Party data that we purchase both meets the needs of our stakeholders and drives value for our business.

Key Responsibilities

Oversee the entire analytics function for Lennar's 3rd Party Data, setting strategic direction and priorities. Drive innovation in data engineering and analysis practices, staying ahead of industry trends and technologies. Serve as the primary liaison between the data product team and senior leadership. Lead the development and execution of the department’s data strategy. Lead initiatives to improve data infrastructure and processes across the organization. Ensure compliance with data governance and security policies. Your Toolbox 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. Keeps abreast of emerging trends in data science, AI, and big data technologies. Proven ability to integrate new technologies and methodologies into existing frameworks to enhance data capabilities. Knowledge of common use cases (e.g., dynamic pricing, prediction, supply chain optimization) 2+ years experience leading data projects, managing timelines, resources, and stakeholder expectations. Additional Qualities Exceptional ability to influence and engage senior leaders with data-driven insights. Expert in resolving complex, high-stakes problems with innovative solutions. Leads with a collaborative spirit, driving team success through shared goals. Sets the standard for integrity within the organization, fostering a culture of trust and ethical behavior. Demonstrates unwavering resilience in the face of adversity, guiding the team through challenges. Acts as a change agent, leading transformative initiatives that drive business success. Leads and coordinates efforts across multiple departments, ensuring alignment

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