This site uses essential cookies for functionality. With your consent, we also use optional cookies to improve your experience and show personalized ads. See our privacy policy for details. Click 'Accept' to allow all cookies or reject non-essential ones to continue browsing.
Job Description
In this role, you will:
- Collect, clean, and analyze healthcare-related data to identify trends, patterns, and insights.
- Build interactive dashboards and reports to support clinical, operational, and business decisions.
- Collaborate with cross-functional teams including product, clinical operations, and marketing.
- Track KPIs related to patient outcomes, engagement, service usage, and provider performance.
- Use data storytelling to communicate findings and recommendations clearly to stakeholders.
- Support A/B testing, pilot launches, and quality improvement initiatives with data.
Requirements
In this role, you will:
- Possess strong analytical thinking and attention to detail.
- Be able to translate complex datasets into actionable business insights.
- Be familiar with healthcare KPIs, metrics, and digital product tracking.
- Work cross-functionally in a fast-paced, data-driven environment.
- Demonstrate ability to prioritize and manage multiple projects simultaneously.
Qualifications & Skills
- Bachelor’s degree in Statistics, Data Science, Public Health, Computer Science, or related field.
- 1–3 years of experience in data analysis, preferably in healthcare or digital health.
- Proficiency in SQL, Excel, and BI tools (e.g., Tableau, Power BI, Looker).
- Experience with Python/R for statistical analysis and visualization (preferred).
- Knowledge of healthcare data formats like EHR, HL7, ICD codes (plus point).
About the Team
Join a growing analytics team focused on transforming raw data into impactful healthcare outcomes. At mediSuggest, we use data not just for insights, but to actively shape patient journeys, service quality, and platform innovation.
We offer:
- Flexible work options and hybrid opportunities.
- Professional development budget for data certifications and courses.
- Access to anonymized, high-impact healthcare datasets.
- Supportive team culture that values collaboration, curiosity, and data ethics.
- Performance-based bonuses and learning stipends.

CONTACT
For any press related inquiries, please write us at pr@medisuggest.com
Or call us 922 222 1356
For non-press-related inquiries,
please use our general contact page.