Senior Analyst, Corporate Data Management
Zagreb, Croatia, 10000
Teva Pharmaceuticals
At Teva Pharmaceuticals, we are all in for better health. We push the boundaries of scientific innovation and deliver quality medicines to help improve health outcomes for millions of patients every day.Who we are
Together, we’re on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It’s a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world’s leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization’s Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we’re always looking for new ways to continue making a difference, and new people to make a difference with.The opportunity
Corporate Data Management (CDM) is a unit responsible to own and implement the corporate data management strategy. Its main objectives are to make Teva´s data ecosystem transparent, governed, defined and measured.
Senior Analyst, Corporate Data Management will be responsible for governing and managing selected centralized data objects owned by supply chain (SC) business unit.
How you’ll spend your day
- Establish and maintain governance model of respective data objects and provide maintenance instructions to relevant local data stewards
- Establish processes and procedures for relevant SC data objects
- Validate and approve SC master data requests following company´s global business guidelines and existing work instructions
- Track relevant KPIs and SLA creation and review established control functions within the area of responsibility
- Perform data analysis tasks and propose corrective actions; support users in case of issues around SC master data topics
- Give guidance to internal customers on global and local level
Your experience and qualifications
- Masters or higher degree education from STEM area
- 4+ years of relevant work experience
- Knowledge in areas of master data management, data management or IT systems
- Basic knowledge of supply chain related processes
- Advanced knowledge of MS Office (Excel, Access, PowerPoint, Word)
- Basic knowledge of database structures and principles
- Knowledge of SAP ECC and SAP MDG is considered a plus
- Experience in pharmaceutical sector is considered a plus
- Highly motivated and results-oriented
- Broad perspective and business acumen
- Willingness to travel approximately 10% of time
Already Working @TEVA?
If you are a current Teva employee, please apply using the internal career site available on "Employee Central". By doing so, your application will be treated with priority. You will also be able to see opportunities that are open exclusively to Teva employees. Use the following link to search and apply: Internal Career Site
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
Teva’s Equal Employment Opportunity Commitment
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data management Excel KPIs Pharma STEM
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