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NOVARTIS
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Senior Manager Data Analyst

Senior Manager Data Analyst

NOVARTIS

6 - 9 years

15 - 20 Lacs

Mumbai

Posted:5 days ago| Platform:

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Skills Required

Data analysis Data validation Business analytics Data quality data visualization Data mining Continuous improvement SQL Python

Work Mode

Work from Office

Job Type

Full Time

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. 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.

About the Role

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:

7+ years eextensive 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

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Senior Manager Data Analyst