Data Analyst (Remote/Hybrid)

• Lead health analytics initiatives across areas such as claims, clinical operations, member analytics, provider performance, population health, care management, medical cost, utilization, quality, or outcomes analytics.

• Translate ambiguous healthcare and business problems into structured analytical approaches with clear metrics, hypotheses, and decision frameworks.

• Design, architect, and implement scalable, big data-driven analytics systems, reusable data assets, dashboards, insight engines, and decision-support tools.

• Work with large-scale healthcare datasets, including claims, clinical, member, provider, operational, utilization, cost, and outcomes data.

• Apply deep analytical thinking to identify patterns, root causes, risks, opportunities, and actionable insights.

• Use AI-assisted tools effectively to multiply productivity across analysis, coding, documentation, insight generation, and stakeholder communication.

• Collaborate with Data Scientists and ML teams on advanced analytics use cases, including feature design, model evaluation, business validation, and interpretation of model outputs.

• Partner with business, clinical, product, operations, finance, engineering, and technology stakeholders to ensure solutions are practical, trusted, and adopted.

• Where required, guide junior analysts by reviewing work, shaping analytical approaches, and raising delivery quality.

Role Focus: Build scalable healthcare analytics capabilities that turn complex data into trusted, actionable business and clinical insights.

- Working Arrangement: Full-time Remote or Hybrid

• 5+ years of experience in health analytics, healthcare data analytics, or related analytical roles within

payer, provider, health-tech, insurance, life sciences, or healthcare consulting environments.

• Deep understanding of healthcare data, business processes, and analytical use cases.

• Strong analytical thinking with the ability to break down complex problems and produce actionable

insights.

• Proven ability to architect and implement impactful, long-running, big data-driven analytics systems or

data products.

• Strong individual contributor mindset with the ability to independently own complex analytical

problems from definition to delivery.

• Demonstrated ability to operate as an analytics builder, creating reusable, scalable analytical assets

rather than one-off reports.

• AI-native working style, with proven ability to use AI-assisted tooling to improve productivity and

delivery quality.

• Strong hands-on experience working with large, complex, and messy datasets.

• Advanced proficiency in Python and PySpark.

• Working knowledge of machine learning concepts, including feature engineering, model outputs,

evaluation metrics, and practical business application of ML models.

• Excellent communication and stakeholder management skills, with the ability to influence decisions

using data.

OPPORTUNITIES AND CHALLENGES:

• Opportunity to work in a professional, modern and energizing setting.
• Challenging projects, possibilities, cutting-edge technology, and problems.
• An open and dynamic working atmosphere that promotes the interchange of ideas, while also empowering you to work and create in your own style. Each employee's talent and accomplishments are valued, and outstanding employees are recognized and rewarded on a yearly basis.
• Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million - 5 million).
• Some advanced certifications will cover the full cost of studying and taking the exam.

ATTRACTIVE REWARDING POLICY AND WORK-LIFE BALANCE:

• Review salary 1-2 times/year, with the possibility of an unexpected salary rise
  based on capacity an infinite number of times per year
• Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.
• Holiday travel mode (package 5-7 million/person), team building,…
•  Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.