Lennar
Lennar
„Lennar“ yra Jungtinių Amerikos Valstijų būsto statybos įmonė, veikianti statybos ir nekilnojamojo turto sektoriuose. Įmonė plėtoja gyvenamųjų namų bendrijas įvairiose šalies rinkose ir siūlo individualius namus, sublokuotus namus, butus bei būstus, pritaikytus aktyviems suaugusiesiems ir kelių kartų namų ūkiams. Būsto pirkimo paslaugos apima ne tik statybą – jas papildo „Lennar Mortgage“ finansavimas ir partnerystė su „Opendoor“, padedanti būsto savininkams parduoti turimą nekilnojamąjį turtą. 1954 m. įkurta „Lennar“ veikia 26 valstijose ir aptarnauja pirkėjus, ieškančius įvairiam gyvenimo būdui tinkamų būsto sprendimų.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • 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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