Lennar
Lennar
Lennar — құрылыс және жылжымайтын мүлік секторларында жұмыс істейтін АҚШ-тағы тұрғын үй салушы компания. Компания ел бойынша түрлі нарықтарда тұрғын үй кешендерін дамытып, жеке үйлерді, таунхаустарды, кондоминиумдарды, сондай-ақ белсенді ересектер мен бірнеше буын бірге тұратын отбасыларға арналған тұрғын үйлерді ұсынады. Тұрғын үй сатып алуға қатысты қызметтері құрылыс жұмыстарымен шектелмейді: олар Lennar Mortgage арқылы қаржыландыруды және үй иелеріне қолданыстағы мүліктерін сатуға қолдау көрсету үшін Opendoor компаниясымен серіктестікті қамтиды. 1954 жылы құрылған Lennar 26 штатта жұмыс істейді және әртүрлі өмір салтына сай тұрғын үй іздейтін сатып алушыларға қызмет көрсетеді.

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.

Сипаттама

  • 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.

Талаптар

  • 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.

Артықшылықтар

  • 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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