Job
Description
The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. Your primary responsibility in this role is to effectively manage and analyze large volumes of data, aiming to extract valuable insights. You should possess exceptional analytical skills and the ability to manipulate and interpret complex datasets using various technologies, including programming languages. Additionally, you should be able to build strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. Key Requirements: - **Data Analysis:** Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. - **Data Validation, Cleaning and Preprocessing:** Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity. - **Data Visualization:** Present findings clearly through charts, graphs, and visualizations. Enable users to understand and interpret data effectively through visual representations. - **Ad-hoc Data Analysis:** Conduct ad-hoc data analysis to provide actionable recommendations. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. - **Collaboration:** Work closely with cross-functional teams, including business analysts, data engineers, and data scientists. Understand their requirements and provide data-driven solutions, fostering effective teamwork and communication. - **Storytelling:** Generate insights from data and communicate them to key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on processes, products, or business. - **Documentation:** Develop and maintain documentation related to data analysis processes. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. - **Continuous Improvement:** Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, aligning with industry best practices. Essential Requirements: - Strong analytical skills with the ability to manipulate and interpret large datasets, knowledge of statistical techniques and data mining algorithms. - Proficiency in programming languages (e.g., Python) and strong SQL with an aptitude for learning other analytics tools. - Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. - Effective communication skills to present findings to both technical and non-technical stakeholders. Desirable Requirements: - 5+ years of extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage. - Bachelor's or Master's degree in a relevant field such as mathematics, statistics, economics, or computer science. - Strong written and verbal communication skills. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,
