Global Commercial Data Analyst – Based Anywhere in Europe
Dublin-Office
Viatris
Viatris is a global pharmaceutical company that believes in healthcare not as it is, but as it should be. Learn about our story, explore our products and browse career opportunities.At VIATRIS, we see healthcare not as it is but as it should be. We act courageously and are uniquely positioned to be a source of stability in a world of evolving healthcare needs.
Viatris empowers people worldwide to live healthier at every stage of life.
We do so via:
Access – Providing high quality trusted medicines regardless of geography or circumstance;
Leadership – Advancing sustainable operations and innovative solutions to improve patient health; and
Partnership – Leveraging our collective expertise to connect people to products and services.
Every day, we rise to the challenge to make a difference and here’s how the Global Commercial Data Analyst - Data Projects role will make an impact:
As the Global Commercial Data Analyst - Data Projects, you will be analyzing commercial datasets to identify patterns, trends, and insights, and managing commercial analytics projects to enable data and insights that can drive strategic initiatives; This role requires a deep understanding of data management, data integration, and data analysis techniques, as well as strong analytical, statistical, and programming skills. You will work collaboratively with cross-functional teams, including IT and business stakeholders, to ensure the accuracy and integrity of linked datasets.
Key Responsibilities for This Role Include
- Design and manage data management workstreams to process, integrate and curate datasets from across commercial data sources,
- Leverage relevant tools and platforms to design models and processes to support deriving actionable insights,
- Validate and curate data to ensure data quality, accuracy, and integrity,
- Collaborate with cross-functional teams to understand business requirements and develop data management and governance strategies,
- Develop and maintain documentation of data provenance, management and consumption pipeline, including data mapping, data transformation, and data validation steps, to ensure repeatability and reproducibility of processes,
- Stay up to date with industry trends, best practices, and emerging technologies related to data linkage, data management, and data analysis, and provide recommendations for continuous improvement.
The Qualifications for This Role Are
- Bachelor's or master’s degree in computer science, Statistics, Mathematics, Data Science, or a related field,
- At least 5 - 7 years of experience in commercial data management, data analytics and data science,
- Minimum of 3 - 4 years of experience in pharma industry and / or with pharma commercial data sets,
- Prior experience in data integration, and data analysis, preferably in a pharmaceutical setting,
- Strong technical skills, including prior experience in SQL (ideal), Python (preferred), and other data processing tools and languages,
- Excellent analytical and problem-solving skills, with the ability to work with large and complex datasets,
- Strong attention to detail and accuracy
- Ability to work independently and collaboratively in a fast-paced, deadline-driven environment,
- Excellent communication and interpersonal skills, with the ability to communicate complex ideas to both technical and non-technical audiences with high proficiency in English.
At Viatris, we offer competitive salaries, benefits and an inclusive environment where you can use your experiences, perspectives and skills to help make an impact on the lives of others.
Viatris is an Equal Opportunity Employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Analytics Data management Data quality Mathematics Pharma Python SQL Statistics
Perks/benefits: Health care
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Research Scientist jobs
- Open Data Science Manager jobs
- Open Junior Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Principal Data Scientist jobs
- Open Sr Data Engineer jobs
- Open BI Analyst jobs
- Open Business Intelligence Engineer jobs
- Open Sr. Data Scientist jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Software Engineer, Machine Learning jobs
- Open Lead Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Junior Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open MLOps Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Engineering Manager jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst II jobs
- Open Tableau-related jobs
- Open Privacy-related jobs
- Open Power BI-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open Data visualization-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open Consulting-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Docker-related jobs
- Open Hadoop-related jobs