Sr Advanced Data Analyst

As a Sr Advanced Data Analyst, you will play a crucial role in providing expertise in delivering data-driven insights and analytics to optimize operational efficiency and improve decision-making within the organization. You will work with cross-functional teams and guide them to address business demand and develop thoughtful solutions. Your ability to translate complex data into actionable insights will be key in ensuring data integrity and accuracy at Advanced Materials.

You will report directly to our Director GenAI, Data, Analytics and you'll work out of our Bangalore location on a hybrid work schedule.

In this role, you will impact the organization by leveraging your advanced data analysis skills to provide valuable insights and recommendations that drive business growth and improve operational efficiency.

KEY RESPONSIBILITIES

• Develop and implement data analytics strategies to drive continuous improvement

• Generate a data driven culture, providing users with easy ways to access and consume data enabling business users to understand our team's capabilities to enhance collaboration

• Collaborate with stakeholders to assess current capabilities and needs to identify areas of opportunity, proposing analytics solutions that align with core strategy and operation.

• Ensure data integrity and accuracy through data analysis and validation.
• Translate complex data into actionable insights to facilitate decision-making

• Utilize analytical and technical skills to translate and analyze business needs into requirements, leading the design and implementation of complex analytics and governance solutions.

• Design, develop, and deploy information products, supporting visualization and data accessibility in a user-friendly, customer centric manner.

• Design and support data models optimized to support analytical tools such as Tableau, and PowerBI and create BI reports.

• Perform complex data analysis and generate insights from various data sources to support decision-making.

• Train users in extracting, interpreting, and applying insights from information products.

• Contribute to the development and execution of the organization's data strategy.