דרושים Business & Data Analyst Student (Part-Time) בתל אביב

**Join Us at TailorMed – Transforming Healthcare Affordability

**At TailorMed, we’re on a mission to eliminate barriers across the entire medication journey—from affordability to access and adherence. As a pioneering force in healthcare, we’re building a new category that transforms how patients, providers, pharmacies, life sciences, and payers collaborate to ensure every patient receives the treatment they need without delay.

Our enterprise solution streamlines the full lifecycle of patient support programs, reducing the cost of care and driving better outcomes. With the nation's largest Affordability Network—deployed across 800+ hospitals, 1,300 clinics, and 650 pharmacies—we’re reshaping healthcare with innovative automation and industry-leading partnerships.

We are looking for a Business & Data Analyst Student (3rd–4th year) to join our Analytics team. This is an exciting opportunity to gain hands-on experience working with real-world healthcare and product data, supporting strategic decisions, and contributing to high-impact initiatives across the company.

Responsibilities:

• Analyze and interpret business and operational data to generate actionable insights that support decision-making.
• Build and maintain dashboards and reports for internal teams and customer-facing functions.
• Work extensively with SQL for data extraction, validation, and analysis.
• Identify trends, performance drivers, and opportunities for improvement across business and product domains.
• Collaborate with product, marketing, and operations teams to understand requirements and translate them into analytical deliverables.
• Support ad-hoc analytical tasks and data quality investigations.

Requirements:

• 3rd or 4th year student in Industrial Engineering, Computer Science, Economics, Information Systems, Data Science, or a related field.
• Strong SQL skills and hands-on experience writing queries — a must.
• High analytical abilities with a passion for working with data.
• Strong problem-solving skills and an ability to communicate insights clearly.
• Fast learner, detail-oriented, and comfortable working both independently and as part of a team.
• Availability for a part-time position with flexibility around academic commitments.
• High level of English.
• Advantage: prior experience in analytical projects (academic or professional).