ROLE RESPONSIBILITIES
- Identify areas of opportunity and explore the potential using data
- Perform analysis in pre-defined subject areas or initiatives looking for new insights or improvement opportunities employing your data analysis, coding and business knowledge and experience
- Create working pieces of code that can be integrated in automated tools to deliver the insights directly to the users
- Collaborate in improvement initiatives that rely on data analysis, working with process owners, operations and other stakeholders when solving problems using engineering and data science approaches
- Keep up to date in software and analysis tools and
OUR CULTURE
Our Team culture of collaboration, learning, inclusion and mutual support is as important to us as one’s ability to do the actual job.
Our Culture is hugely important to us. We recognize that people are the cornerstone of Pfizer’s success. We embrace career development & colleague engagement.
As a team, together we run our business, so yourinput and expertise are essential to our success!
Our culture is founded on the pillars of Equity, Joy, Courage and Excellence
BASIC QUALIFICATIONS
- Master’s degree in a quantitative field such as : Industrial Engineering, Industrial Management Engineering, Data Science or Logistics
- Around 3-5 years cumulative experience, especially with hands-on experience in
- Supply chain / manufacturing performance improvement
- Data analysis focused on performance and Insights generation
- Coding experience (ability to perform analysis on datasets using SQL, and / or Python / R; develop prototype models)
- A passion for data science and its impact / presence in the industrial world
- Ability to communicate, convince, build relationships, and collaborate with a variety of colleagues
- Excellent spoken and written communication skills in English
Preferred qualifications
- Extensive knowledge or experience working with (up to production level software development) :
- SQL and no-SQL databases
- Programming languages, such as Python or R
- Data-Science platforms
- Deep experience in supply chain / manufacturing knowledge and problem solving
- Advanced analytics and statistical knowledge / experience
- Certification in project management
Personal qualities
- Independent thinker and self-motivated
- Constant desire to learn and upgrade skill sets
- Thinking of simplest ways to solve complex problems
- Organized through good documentation and working well in teams
At Pfizer, we are committed to your career development, and we offer you a full-time position and access to our brand-new Learning Academy.
If you are interested in joining our company, please send us your CV in English (consider that you would be part of a multi-cultural team and that English is the working language).
LI-PFE
Purpose
Breakthroughs that change patients' lives ... At Pfizer we are a patient centric company, guided by our four values : courage, joy, equity and excellence.
Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.
Let’s start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms allowing for us to be as diverse as the patients and communities we serve.
Together, we continue to build a culture that encourages, supports and empowers our employees.
Se valorarán las candidaturas que puedan aportar certificados oficiales de discapacidad.
Logistics & Supply Chain Mgmt