Manager Data Analyst

Summary About the role 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 The primary responsibility of this role is to effectively manage and analyze large volumes of data with the aim of extracting valuable insights The ideal candidate should possess exceptional analytical skills as well as the ability to manipulate and interpret complex datasets using a variety of technologies including programming languages Additionally the candidate should be able to foster 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 in a clear and concise manner through the use of charts graphs and other visualizations Enable users to easily understand and interpret the data through effective visual representations Ad-hoc Data Analysis Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes Collaboration Collaborate closely with cross-functional teams including business analysts data engineers and data scientists to understand their requirements and provide data-driven solutions Foster effective teamwork and communication to deliver optimal outcomes Storytelling Generate insights from the data and communicate them to the key stakeholders both technical and non-technical Understand and explain the implications of the findings on the processes products or business Documentation Develop and maintain documentation related to data analysis processes and procedures 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 ensuring they align 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 example - Python language Strong SQL with 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 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 Skills Desired Ability To Influence Key Stakeholders AI Driven Compliance And Controls Critical Thinking Data Cleansing Normalization Data Visualization Employee Engagement Financial And Management Giving And Receiving Feedback Insight Generation Interpersonal Savvy Managing Ambiguity Market Understanding Planning Analysis Process Optimization Rapid Problem Solving Reporting Understanding Value Drivers