Business Strategy Analyst

54573 - Business Strategy Analyst

The opportunity:

The Business Strategy analyst will play a pivotal role in the day-to-day operations of the Global Network & Product Strategy (GNPS) team by providing data-driven, insightful and accurate analyses to support all strategic decisions making of the Teva's Global Operations (TGO) Network.

This unique opportunity extends beyond a job—it's a chance to become a key player in our strategic "Pivot to Growth" initiative, gaining high visibility and a cross-organizational perspective on Teva's operations.

How you’ll spend your day

With a combination of both financial & strategic analyses, you will:

Data analyses:

• Perform accurate, measurable, and insightful analyses to the GNPS team based on one of the biggest Databases in the organization, combining data from almost every other system in Teva.
• In addition, lead exciting deep strategic analyses, requiring deep understanding of the TGO's business and collaboration with other team members, to drive decisions making by Teva's top management.
• Take charge of charting new processes and ways of working to support said decisions.

Financial analyses:

• Develop deep understanding in TGO's financials in order to perform figures-driven Business Cases together with finance counterparts in support of all decisions making.
• Manage a set of KPIs (CPU, Utilization) together with key stakeholders in Teva (Sites, Finance, Portfolio, etc.) and report progress to management.
• Take a leading part when examining strategic opportunities for the company by working closely with group leaders to provide them with financial insights.

BI Integration & Administration

• Lead the team's BI system, organizing data from vast number of sources to provide most accurate analyses, tied to the future of the company.
• Expand and improve on the group's DB and BI to drive constant success and traceability of all decisions making.
• Work closely with IT to ensure system and data integrity.

Your experience and qualifications:

• Bachelor's degree in industrial engineering, Data and Decisions Science or related field
• Either proven experience in performing both data and financial analyses or top grades in related courses
• Very quick learner, able to adapt to changing situations and requirements and work on multiple subjects simultaneously.
• Effective communication and collaboration skills to work with diverse teams across different business units. Very good spoken and written English is a must.
• Data driven, with excellent analytical and problems solving skills.
• Demonstrates a strong ownership attitude and is highly self-motivated; willing to take ownership of completing tasks in difficult situations.
• Very high presentation skills and storytelling