Top Data & Analytics Jobs in Bengaluru, KA
Lead the establishment of a pricing platform and data steward team in ICC Bangalore, focusing on strategic direction, internal data governance, and price analytics. Drive innovation, collaboration, and talent development while fostering understanding of decision-making impact on access and business goals.
Lead the strategy, development, and optimization of commercial data products at Takeda, focusing on RWD data products that drive business insights, sales effectiveness, and market strategies. Collaborate with various teams to ensure commercial data products provide actionable insights to maximize business value. Report to the Head of Data Products.
The Senior Data Engineer at Takeda will lead the development and execution of complex data structures and pipelines to organize and standardize data for generating insights. This role involves interpreting advanced techniques to ingest structured and unstructured data, as well as building technical solutions for data ingestion, transformation, and loading from various sources.
Featured Jobs
Lead the development and execution of platform strategy aligned with business objectives. Manage resources for maintaining, enhancing, configuring, and testing platform functionality. Collaborate with teams to prioritize features, develop applications, and ensure platform meets stakeholder needs and is secure. Stay updated on industry trends and provide operational and project support for Finance systems.
Develop, configure, and manage Finance platforms and solutions according to business requirements. Lead data analysis and modelling for predictive purposes. Manage technical platforms and data-driven solutions impacting IT structure and architecture. Interpret and develop advanced techniques in big data across different partner organizations.
As a Data Modeler at Takeda, you will support the company's Vision and Data strategy by developing and evolving data models for analytics and operational systems. Responsibilities include creating data models, integrating data from various sources, optimizing performance, collaborating with stakeholders, and ensuring data accuracy and compliance.
All Filters
No Results
No Results
