Intern (m/f/x) - Marketing Analytics & Forecasting HUB, International I&A
About this opportunity
Intern (m/f/x) - Marketing Analytics & Forecasting HUB, International I&A
Internship Details:
Duration: 6-month internship , with the possibility of extension based on business needs and performance
Working Hours: Full-time preferred , with the possibility to work part-time (minimum 60-70%)
Location: Warsaw
Start Date: immediately
The Opportunity:
Are you passionate about analytics, forecasting, and business performance? Join CSL's Marketing Analytics & Forecasting HUB and gain hands-on experience supporting international brands and markets.
As an Intern, you will work closely with analytics and forecasting professionals, helping transform data into actionable business insights while learning how commercial decisions are supported in a global pharmaceutical environment.
Your Responsibilities:
You will support the team in:
Preparing business performance reports and presentations for management
Collecting, cleaning, and analyzing data using Excel, Power BI, and other tools
Supporting dashboard development and insight generation
Assisting with forecasting activities, quarterly updates, and planning cycles
Contributing to cross-functional analytics and forecasting projects
Helping communicate insights through effective data storytelling
What You'll Gain
This internship will provide exposure to:
Commercial analytics in a global pharmaceutical company
Business performance reporting and insight generation
Forecasting and strategic planning processes
Data visualization and dashboarding in Power BI
Cross-functional stakeholder collaboration
Your Profile
Currently pursuing or recently completed a Master's degree in Business, Finance, Management, Economics, Data Analytics, or a STEM-related field
Strong analytical and problem-solving skills
Proficiency in Excel and PowerPoint
Excellent communication and presentation skills
Fluent in English (C1 level or above)
Curious, proactive, and eager to learn
Nice to Have
Experience in Pharma or Life Sciences
Knowledge of SQL, Python, or Power BI
Exposure to AI-driven analytics tools
Basic project management experience
About CSL Behring
CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients’ needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.
CSL Behring operates one of the world’s largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.
To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/ .
Our Benefits
For more information on CSL benefits visit How CSL Supports Your Well-being | CSL .
You Belong at CSL
At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.
To learn more about inclusion and belonging visit https://www.csl.com/careers/inclusion-and-belonging
Equal Opportunity Employer
CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit https://www.csl.com/accessibility-statement .
Job details
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