Summary

-Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials.

About the Role

Job Summary:

• Develop, maintain, and optimize dashboards and reports using Power BI to provide insights into key performance metrics and support business objectives.
• Connect, import, and transform data from various sources, including databases, Excel, and APIs, to create comprehensive data models.
• Proficiency in Power BI, including DAX and Power Query.
• Provide training and support to end-users to enhance their understanding and utilization of Power BI reports.
• Design, develop, and maintain robust and scalable Python applications and scripts to support data analysis, automation, and research activities.
• Implement and optimize algorithms for data processing, statistical analysis, and machine learning models.
• Develop and deploy predictive models and machine learning algorithms to extract insights and support business objectives.
• Integrate Python applications with databases, APIs, and other third-party services to ensure seamless data flow and accessibility.
• Conduct unit testing and debugging to ensure the quality and reliability of the models/product.
• Leverage Python for data cleaning, analysis, and automation of repetitive tasks.
• Stay informed about the latest trends and advancements in Python development and the life sciences industry.
• Utilize advanced Excel functions and features to manipulate data, create models, and generate reports.
• Write and execute complex SQL queries to extract, transform, and analyze data from multiple databases.
• Good to have- Work with Dataiku to design, deploy, and monitor data workflows, ensuring data quality and consistency.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Working closely with stakeholders to understand their goals and determine how data can be used to achieve those goals.
• Stay up to date with industry trends and advancements in data analytics technologies and tools.

• Bachelor's degree in data science, Computer Science, Life Sciences, or a related field. A master's degree is a plus.
• Minimum of 4 years of experience in data analysis within the life sciences or pharmaceutical industry.
• Proficiency in Power BI, Excel, Python, Dataiku, and SQL is required.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.
• Detail-oriented, with a focus on data accuracy and quality.
• Ability to work independently and collaboratively in a fast-paced environment.

• Experience with statistical analysis and modeling techniques.
• Familiarity with other data visualization tools such as Tableau, DataIKU or QlikView. good to have
• Knowledge of data governance and data privacy regulations in the pharmaceutical industry.
• Certification in Power BI or any relevant data analytics tools is a plus.