Tech Operations and Support, Analyst

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicentre of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement Role Summary We are seeking a detail-oriented and process-focused Data Operations Analyst to support the reliable execution and monitoring of ETL pipelines for Keep the Lights On (KTLO) data operations. Key responsibilities include the following established Standard Operating Procedures (SOPs) to ensure the timely and accurate delivery of data feeds refreshed at a daily basis, while also contributing to minor operational enhancements and investigating data-related issues. The ideal candidate should have strong proficiency in SQL and Python, a foundational understanding of AWS S3, and experience with scheduling tools such as Azkaban. Key Responsibilities ·       Manage the execution of routine data pipeline workflows, ensuring all ETL process stages are completed successfully. ·       Conduct thorough data quality validations to ensure accuracy and compliance with defined business logic. ·       Follow established Standard Operating Procedures (SOPs) to execute daily, weekly, and monthly tasks, leveraging checklist-based validations. ·       Support minor updates and configuration changes to datasets and pipeline structures. ·       Investigate and resolve data-related issues in a timely manner. ·       Maintain comprehensive operational documentation, including execution logs, issue tracking, and version control records. ·       Monitor service-level agreements (SLAs) for data feed delivery, ensuring compliance with defined timelines. ·       Track and troubleshoot issues related to model performance and system functionality. Required Skills & Qualifications 1+ years of experience in data operations roles. Advanced SQL skills for data querying and validation. Basic proficiency in Python for data handling, automation, or script-based validations. Ability to follow structured processes and perform routine quality checks with discipline. Strong attention to detail and comfort working in checklist or SOP-driven environments.