Novartis

Data Insights & Business Planning Manager (f/m/d)

Vienna Full time

Job Description Summary

#LI-hybrid
Location: Vienna, Austria

Data Insights & Business Planning Manager is one of the key roles driving strategic decision-making and business growth. Leverage cutting-edge analytics and automation to deliver powerful insights, collaborating with experts to optimize sales, marketing, and performance. Be at the forefront of innovation and foster a data-driven culture in a dynamic environment


 

Job Description

Major accountabilities:

  • Collaborate with Therapeutic Area Heads to enhance brand strategy and tactics

  • Develop and support insights generation through scalable and automated solutions

  • Support the identification and evaluation of growth potential and risk scenarios, e.g. BD&L (Business Development and Licensing), Marketing and Sales activities

  • Execute Sales analyses and perform incentive calculations

  • Define and implement business cases and support and participate in business planning reviews with TA Heads

  • Foster a data-driven decision-making culture, analyze data and generate figures to create compelling data narratives

  • Apply novel analytics approaches such as AI-enabled analytics, generate insights and develop actionable recommendations

  • Co-create and maintain Power BI views, leverage Snowflake’s capabilities and facilitate data automation & AI innovation projects with the Analytics Team

Essential requirements:

  • University degree in Economics or Finance

  • 1-5 years’ experience in business & data analytics, finance, data automation, controlling or financial accounting, e.g. in pharmaceutical industry or others, preferable in a multi-national company

  • MS office with Advanced Excel Modelling and PowerPoint, Power BI / Qlik / Tableau

  • Competencies in usage of Snowflake and source systems, e.g. CRM, SAP

  • Ability to manage multiple initiatives, ad-hoc reporting and consistently meet deadlines

  • Strong cross-functional teammate who is dynamic and result oriented, initiative-taking, flexible and adaptable, self-accountable and works independently

  • Strong analytical skills and ability to communicate outcomes, managing different stakeholders in an international matrix environment

  • Professional proficiency in English, German desirable

You’ll receive:

In addition to a market-competitive base salary, we offer an attractive incentive program, a modern company pension scheme, learning and development options as well as worldwide

career opportunities within the Novartis group. In accordance with Austrian law, we are obliged to disclose the minimum salary. For this position the minimum salary is € 56.000/year (on a full-time basis). The actual salary will be higher, as we strive to maintain a competitive position in the market and consider your previous experience, qualifications, and individual competencies.

Commitment to Diversity and Inclusion / EEO paragraph

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Accessibility and Accommodation:

Accessibility and accommodation If because of a medical condition, physical disability or a neurodiverse condition you require an adjustment during the recruitment process, please reach out to disabilities.austria@novartis.com and let us know the nature of your request as well as your contact information. The support which we can provide will include advice on suitable positions as well as guidance at all stages of the application process. Austrian law provides candidates the opportunity to involve the local disability representative, Behindertenvertrauensperson (BVP), in the application process. If you would like to request this, please let us know in advance as a note on your CV.


 

Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis