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Analyze autonomous driving issues at Mobileye and turn validation findings into insights for engineering teams. Help improve the quality, performance, and safety of autonomous driving products.
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Lennar अमेरिका की एक गृह-निर्माण कंपनी है, जो निर्माण और रियल एस्टेट क्षेत्रों में कार्यरत है। कंपनी देशभर के विभिन्न बाज़ारों में आवासीय समुदाय विकसित करती है और एकल-परिवार वाले घर, टाउनहोम, कॉन्डोमिनियम तथा सक्रिय वयस्कों और बहु-पीढ़ी वाले परिवारों के लिए डिज़ाइन किए गए आवास उपलब्ध कराती है। इसकी घर खरीदने संबंधी सेवाएँ निर्माण से आगे तक फैली हैं और इनमें Lennar Mortgage के माध्यम से वित्तपोषण तथा मौजूदा संपत्तियाँ बेचने वाले गृहस्वामियों की सहायता के लिए Opendoor के साथ साझेदारी शामिल है। 1954 में स्थापित Lennar 26 राज्यों में कार्यरत है और विभिन्न जीवनशैलियों के अनुरूप आवास विकल्प तलाशने वाले खरीदारों की सेवा करती है।
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.
विवरण
- 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.
आवश्यकताएँ
- 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.
लाभ
- 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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