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Lennar
Lennar
5,001 – 10,000 Employees
H1B Visa SponsorConstructionReal Estate
Lennar is a U.S. homebuilder operating across the construction and real estate sectors. The company develops communities in markets throughout the country, offering single-family homes, townhomes, condominiums, and residences designed for active-adult and multigenerational households. Its homebuying services extend beyond construction through Lennar Mortgage financing and a partnership with Opendoor to support homeowners selling existing properties. Founded in 1954, Lennar operates in 26 states and serves buyers seeking housing options for a range of lifestyles.
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Lead Analytics Engineer

Lead Lennar’s third-party data strategy and enterprise analytics function. Guide data infrastructure, governance, cloud platforms, and strategic initiatives at a major U.S. homebuilder.

USUnited StatesFLFloridaTXTexasOn-siteFull-timeSeniorEnglish RequiredAnalytics Engineer
Amazon RedshiftAWSBigQueryCloudETLPythonSQL

Description

  • Set the roadmap for Lennar’s third-party data strategy.
  • Work across teams to ensure purchased third-party data meets stakeholder needs and delivers business value.
  • Oversee Lennar’s third-party data analytics function.
  • Define strategic direction and priorities.
  • Advance data engineering and analytics practices.
  • Connect the data product team with senior leadership.
  • Develop and execute the department’s data strategy.
  • Lead organization-wide improvements to data infrastructure and processes.
  • Maintain compliance with data governance and security policies.
  • Coordinate initiatives across departments.
  • Coach and develop data teams while encouraging ongoing learning and innovation.
  • Bring emerging technologies and methods into existing systems.
  • Solve complex, high-impact problems with creative approaches.
  • Set clear accountability and uphold delivery quality.

Requirements

  • Bachelor’s degree in a related field; a master’s degree is preferred.
  • At least 8 years of analytics engineering experience.
  • At least 2 years leading data projects, including timelines, resources, and stakeholder expectations.
  • A record of successfully leading projects.
  • Strong leadership abilities.
  • Expertise with enterprise data, big data platforms, and cloud data environments such as AWS Redshift and Google BigQuery.
  • Ability to design and implement data strategies that support organizational goals.
  • Advanced SQL, database management, optimization, and complex ETL skills.
  • Expertise in Python or R for advanced analytics, deep learning, AI, and production model deployment.
  • Experience leading enterprise dashboards and reporting solutions.
  • Proficiency with advanced data visualization tools and libraries.
  • Expertise in data architecture and scalable infrastructure connecting APIs, data lakes, and warehouses.
  • Experience leading data integration projects.
  • Strong knowledge of data governance frameworks, stewardship, and data management practices.
  • Experience leading teams and business-aligned data initiatives.
  • Expertise in mentoring and developing data teams.
  • Knowledge of emerging data science, AI, and big data technologies.
  • Ability to incorporate new technologies and methods into existing systems.
  • Knowledge of dynamic pricing, prediction, and supply chain optimization applications.
  • Able to use computer equipment and perform sedentary office duties, including lifting and carrying up to 25 pounds.

Benefits

  • Medical, dental, and vision coverage.
  • 401(k) plan with a dollar-for-dollar company match on contributions up to 5%.
  • Paid parental leave.
  • Associate Assistance Plan.
  • Education assistance program.
  • Adoption assistance of up to $30,000.
  • Up to three weeks of vacation per year, starting at hire.
  • Holiday leave.
  • Sick leave.
  • Personal day policies.
  • New hire referral bonus program.
  • Home purchase discounts.
  • Everyone’s Included Day.

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