Associate, User Success Engineer
Greece-Thessaloniki Chortiatis
πριν από 6 μέρες

Pfizer’sChief Digital Office (CDO) leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes.

The Analytics Experienceteam, which is part of the Analytics & Data (A&D)org within Digital Health, Medicines, and Artificial Intelligence,is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platformacross the enterprise from scientific / clinical to commercial across all Pfizer geographies.

Part of the Analytics Experience team is a User Success teamthat will be responsible for platform adoption : onboarding, enabling, and supporting self-sufficient analytical users from across the Pfizer businessas part of the enterprise analytics platform, Pfizer Insights.

Pfizer Insights will be thedigital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation.

It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture.

This role providetechnical enablement and will partner with key groups from across the Analytics & Data org and external vendors to ensure that participating analysts and data scientists have everything they need to effectively and efficiently conduct analytics for their user cases.

Fast onboarding, ongoing support, training, and robust change-management is critical to their success. You will have the ability to diagnose issues and connect analystswith a comprehensive team of experts to provide the most appropriate support to meet their needs and see thatthey meet their goals.


Effectively partner with A&D groups and apply independent problem solving skills to afford users an effective and efficient pathway to meeting their analytical goals

Facilitate the onboarding / progression of users via an evolving, automated modular process

Work with senior managers and project leads to discuss needs / costs relating to licenses, components, and support

Actively support the enablement of users via :

Contributing and managing our knowledge base and community forums

Partnering to offer short term project / solutions support and guidance

Coordinate and promote training offerings

Technical Support Liaison

Up-skill to and maintain expert’ status in one of our core analytical platforms

Employ creative disruption’ techniques toensure continuous improvement and evolution within our methods and practices


BS in computer science, data science, / or an engineering / quantitative field

0-2+ years of work experience

Hands-on skills in data engineering, machine learning and / or data visualization skills

Experience withwriting SQL queries on relational databases

Experience with coding with Python for data analysis, data visualization, and machine learning modeling

Strong communication skills (written & verbal)

Experience with analytical problem solving


At least 1 year of experience in the field of data and analytics

Strong hands-on skills for data and machine learning pipeline orchestration via Dataiku (DSS 9 or 10), or similar, platform

Strong hands-on skills in Data Visualization platforms (e.g. Tableau, Spotfire)

Containerization and underlying infrastructure knowledge to support performance and resource optimization is a plus



Work Location Assignment : Flexible


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.


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.

Information & Business Tech

Αναφορά αυτής της εργασίας

Thank you for reporting this job!

Your feedback will help us improve the quality of our services.

Το e-mail μου
Πατώντας στο κουμπί «Συνέχεια », δίνω στο neuvoo τη συγκατάθεση μου να καταχωρήσει τα δεδομένα μου και να μου στέλνει ειδοποιήσεις μέσω email, όπως αναφέρεται λεπτομερώς στην πολιτική προστασίας προσωπικών δεδομένων του neuvoo. Μπορείτε ανά πάσα στιγμή να αποσύρετε τη συγκατάθεση σας ή να διαγραφθείτε οποιαδήποτε στιγμή.
Φόρμα αίτησης