Lennar
Lennar
Lennar ir ASV dzīvojamo ēku būvniecības uzņēmums, kas darbojas būvniecības un nekustamā īpašuma nozarēs. Uzņēmums attīsta dzīvojamo ēku kopienas dažādos tirgos visā valstī, piedāvājot vienģimenes mājas, rindu mājas, dzīvokļus un mājokļus, kas paredzēti aktīviem pieaugušajiem un vairāku paaudžu mājsaimniecībām. Mājokļa iegādes pakalpojumi sniedzas ārpus būvniecības, ietverot Lennar Mortgage finansējumu un partnerību ar Opendoor, lai atbalstītu mājokļu īpašniekus esošo īpašumu pārdošanā. Uzņēmums Lennar, kas dibināts 1954. gadā, darbojas 26 štatos un apkalpo pircējus, kuri meklē mājokļu iespējas dažādiem dzīvesveidiem.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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