NeueHealth tibbiy yordamni bemorlar uchun yanada qulay, hamyonbop va ularning ehtiyojlariga mos qilishga intiluvchi sog‘liqni saqlash kompaniyasidir. Kompaniya o‘ziga qarashli va hamkor klinikalar orqali keng qamrovli xizmatlar ko‘rsatuvchi NeueCare hamda mustaqil tibbiy xizmat ko‘rsatuvchilarga natijaga asoslangan tibbiy yordam kelishuvlarida qatnashishga yordam beruvchi NeueSolutions yo‘nalishlarini birlashtiradi. NeueHealth tibbiy xizmatlardan foydalanuvchilar, xizmat ko‘rsatuvchilar va to‘lovchilarni bog‘lash orqali yordam olish tajribasi va salomatlik natijalarini yaxshilashga e’tibor qaratadi. Kompaniya faoliyati tibbiy yordam ko‘rsatish, xizmat ko‘rsatuvchilarni qo‘llab-quvvatlash va tibbiy sug‘urtaga oid xizmatlarni qamrab oladi. Bu yo‘nalishlar tibbiy yordamni muvofiqlashtirish va ko‘rsatish usullarini o‘zgartirishga qiziqadigan mutaxassislar uchun imkoniyatlar yaratadi.
Senior Healthcare Data Analyst (Remote, US)
Senior Healthcare Data Analyst responsible for improving raw data ingestion at NeueHealth, a value-driven healthcare company. Map, normalize, monitor, and document Bronze-layer data to support engineering, analytics, transparency, and compliance.
Tavsif
- Create data mappings for ingesting raw data from varied sources into the Bronze layer of the data lake
- Solve complex mapping problems through creative, practical approaches
- Record data lineage and ingestion logic to support transparency and compliance
- Design and monitor quality checks for anomalies, missing values, schema drift, and other data issues
- Investigate ingestion problems and deliver effective fixes
- Build dashboards that monitor Bronze-layer data health
- Advance operational excellence and continuous improvement across data operations
- Handle additional duties and responsibilities as assigned
Talablar
- Bachelor’s degree in information technology, analytics, or a related discipline, or equivalent professional experience
- At least four years of experience as a Data Analyst or in a comparable analytics position
- Advanced SQL proficiency and familiarity with manipulating raw-format data
- Hands-on experience working with large datasets in a data lake
- Working knowledge of ETL/ELT methods and industry practices
- Understanding of data modeling principles and techniques
- Experience using data quality management and testing frameworks
- Strong analytical judgment and problem-solving skills
- Ability to organize competing priorities in a fast-moving environment
- Exceptional attention to detail with a commitment to data accuracy and traceability
- Self-motivated and capable of working independently or collaboratively
- Clear communication skills for partnering with technical and non-technical stakeholders
- Experience with complex healthcare data is strongly preferred
- Preferred experience includes Scala, Databricks, modern data architecture patterns, big data technologies such as Spark and Delta Lake, data governance, and work in a data-driven organization
Imtiyozlar
- Access to professional development and career growth opportunities
- Chance to support transformative healthcare outcomes through data platform solutions
- Work alongside talented colleagues in a dynamic, startup-oriented setting
- Help make organizational data more useful and accessible