Data Analyst / Data Visualization intern

Ipsen•Paris, TX

25d

About The Position

Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation. Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company's success. Join us on our journey towards sustainable growth, creating real impact on patients and society! At Ipsen, the Global Medical Strategy, Governance & Operations (SGO) team operates within the Chief Medical Office (Medical Department). Our mission is to empower the medical community by delivering: Strategic frameworks that define global medical priorities. Governance structures to ensure compliance and alignment. Operational support for the efficient execution of initiatives. One of our major transformational projects focuses on harmonizing dashboards across the Medical Department. Currently, dashboards are fragmented, inconsistently designed, and lack proper connectivity. The selected candidate will play a key role in defining and implementing a unified approach to identify and leverage dashboards and data sources that enable effective monitoring of all relevant medical activities. By joining the SGO team, you will lead a critical transformation, shaping the overall strategy using the latest internal resources and technologies, in close collaboration with other teams and departments.

Requirements

Currently undertaking a master's degree (final year) in Data Science for Business, Data Analytics, or Digital Design.
Comfortable working both in French and in English.
French is a requirement / English should be at Professional level.
Experience with data visualization tool Power BI, web design (HTML, CSS, JavaScript or equivalent).
Proficient in SQL/noSQL database creation and management (API building & web-scraping is a plus).
Experience in Excel pivoting, data modeling is also ideal.
Comfortable working within Microsoft environment globally & its integrated solutions (e.g. Power App, Power Automate).
Comfortable with Python and/or R programming and with Databricks under Azure environment.
Strong interpersonal skills.
You know how to prioritize your tasks, respect deadlines, alert in case of problems or questions.
Open and data-driven mindset.
Ability to synthesize complex medical data.
Agile, collaborative, and impact-driven mindset.
Solutions-oriented.
Curious to work in an international environment with interactions with different teams & departments.
Ideal candidates can communicate effectively, learn quickly, takes ownership of their work to deliver results, and is a true team-player.

Nice To Haves

Knowledge of healthcare, pharmaceutical industry and Medical affairs department is a plus.

Responsibilities

Inventory of current dashboards and their usage.
Identify the list of key questions that medical teams need dashboards to answer.
Proposal for unified dashboard structure and associated KPIs.
Draft implementation roadmap in close collaboration with IT/BI teams.
Maintain, improve, develop the appropriate dashboards and/or web apps based on the needs identified by the team and the roadmap develop.
Ensure delivery of the optimized dashboards and/or web apps as planned.
Enhance use and adoption within the Medical organization with dedicated trainings and open hours post release.
Collaborate with matrix teams within and outside Medical organization to ensure effective and efficient deployment of capabilities.
Actively seek out, develop, and share best practices.
Stay abreast of the evolving technical landscape, and remain current on the major data visualization libraries / stack / technologies.
Incentivize and pursue continuous improvement of existing capabilities and skills.