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Pitney BowesInstall and repair Pitney Bowes shipping and mailing technology across a Michigan territory. The role involves extensive travel, equipment troubleshooting, and client training.
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qode.world भर्ती टीमों के लिए कृत्रिम बुद्धिमत्ता पर आधारित टूल और सेवाएँ विकसित करती है। इसका प्लेटफ़ॉर्म बड़े पैमाने पर डेटा स्रोतों के माध्यम से उम्मीदवारों को खोजने, डेटा-आधारित अंतर्दृष्टियाँ तैयार करने, संभावित उम्मीदवारों से सीधे जुड़ने, अनुकूलित AI-संचालित साक्षात्कार लेने और उम्मीदवारों का आकलन तैयार करने में मदद करता है। LinkedIn का एकीकरण उम्मीदवार खोजने और संचार से जुड़ी प्रक्रियाओं को बेहतर बनाता है, जबकि विशेष और वरिष्ठ पदों पर नियुक्ति के लिए अतिरिक्त भर्ती सहायता भी उपलब्ध है। कंपनी कृत्रिम बुद्धिमत्ता और परामर्श के क्षेत्रों में कार्य करती है और इसमें 11–50 कर्मचारी हैं।
Healthcare Data Analyst in Hanoi (Hybrid)
Turn complex healthcare data into scalable analytics systems, dashboards, and actionable insights. Collaborate with clinical, business, technology, and Data Science teams in Hanoi.
विवरण
- Lead healthcare analytics initiatives spanning claims, clinical operations, members, providers, population health, care management, costs, utilization, and outcomes.
- Convert complex healthcare and business challenges into analytical methods, metrics, and practical recommendations.
- Build scalable big-data analytics systems, data products, dashboards, and decision-support tools.
- Analyze extensive and complex claims, clinical, member, provider, operational, utilization, cost, and outcomes data.
- Use analytical and AI-assisted tools to improve productivity and delivery quality.
- Work with Data Science and Machine Learning teams on feature engineering, model assessment, and interpreting model results.
- Collaborate with business, clinical, product, operations, finance, and technology stakeholders.
- Support and mentor junior analysts when needed.
आवश्यकताएँ
- At least five years of professional experience in health analytics, healthcare data analytics, or a related analytical field.
- Background in healthcare, insurance, payer, provider, health technology, life sciences, or healthcare consulting.
- Strong knowledge of healthcare data, business processes, and analytical applications.
- Well-developed analytical reasoning and problem-solving abilities.
- Demonstrated success building scalable, long-running analytics systems or data products.
- Extensive hands-on experience working with large, complex, and messy datasets.
- Advanced Python and PySpark proficiency.
- Working knowledge of machine learning, including feature engineering, model evaluation, and applying model outputs in practice.
- Strong communication and stakeholder management capabilities.
- Good English communication skills.
- Internships, research, and part-time roles do not count toward the required five years of professional experience.
लाभ
- Work in a professional, modern, and energetic environment.
- Take on challenging projects involving advanced technology and complex problems.
- Enjoy an open, dynamic workplace with autonomy to work and create in your preferred style.
- Receive recognition and annual rewards for strong performance and achievements.
- Access opportunities for professional development.
- Receive support for professional certification costs ranging from 1 million to 5 million.
- Some advanced certification study and examination fees are covered in full.
- Salary reviews are conducted once or twice annually.
- Potential for additional salary increases based on demonstrated capability.
- Receive a 13th-month salary bonus.
- Receive holiday bonuses in line with company policy.
- Receive a holiday travel package worth 5–7 million per person.
- Participate in team-building activities.
- Receive full social insurance coverage.
- Receive an annual health check at a reputable hospital.
- Access comprehensive support for employees and relatives during birthdays, marriage, childbirth, illness, and similar events.
- Take part in sports and cultural activities such as football, cycling, and badminton.
- Receive allowances for classes and training awards.
- Compete for the Learning Star of the Month award.
- Receive royalties or recognition for study achievements.
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