Sr Advanced Data Analyst

Job Description

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.
  
  

Qualifications

YOU MUST HAVE

• 6+ years of relevant experience in Data Visualization (PowerBI as main BI tool, Tableau, Looker, Qlik, are nice to have), Data analysis or related technical activities.
• Basic data normalization and data modeling techniques
• Prototyping abilities in Excel, PPT, or any other tool to gather and align requirements.
• User experience mindset, driving the design of visualizations and infographics to distill complex information.
• Intermediate to Advanced Power BI DAX experience
• Expert in scripting and querying languages such as Python, SQL, and others for data consumption, manipulation and advanced analytics
• Proficiency in creating visualizations using Python or similar languages.
• Understanding of Descriptive Statistics and proficiency in hypothesis testing.
• Understanding of master and transactional data in SAP, SFDC (SalesForce) and associated IT technologies.
• Experience in data warehouse tools such as Snowflake, Databricks or equivalent.
• Knowledge of Agile development methodology
• Excellent communication skills (verbal, written, and presentation).
• Passion for data and its potential to drive business impact.
• Work independently and free from direct oversight.
  
  

WE VALUE

• Bachelor's degree in a relevant field (e.g., Data Science, Analytics, Engineering, etc.)
• Strong leadership skills and the ability to effectively influence and coach others
• Proven track record of driving data-driven decision-making and delivering measurable business results
• Experience in advanced data analysis techniques (e.g., machine learning, predictive modeling, etc.)
• Experience with data governance and data quality initiatives
• Excellent communication, presentation, problem solving, and interpersonal communication skills.
• PL/SQL, T/SQL, NoSQL programming, and database objects.
• Understanding of different analytics trends like predictive models and AI/ML.
• Highly proficient in Microsoft Excel. As an extra, Microsoft Word and PowerPoint
• Strong business acumen with a data-mining mindset.
• Experience with large-scale data analytics and governance initiatives.
• Ability to collaborate and influence across different levels.
• Excellent communication skills combined with the ability to navigate a highly matrixed organization.
• Critical thinking and understanding of business processes, technology, systems, and tools.
• Demonstrated initiative and resourcefulness; a self-starter able to work independently. Demonstrated record of on-time and on-budget project and/or program management execution.
• Proactive, detail-oriented, with high regard for quality and consistency of communication, and able to present concise plans and ideas to executive level in a diverse work environment.