Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians.  If you want to be part of this exciting work, you belong at Astellas!

 

Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com.

 

This is a remote position and is based in India. We would like to invite applicants who live in Bangalore region to apply. Remote work from certain states may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines. Candidates interested in remote work are encouraged to apply.

 

 

 Purpose and Scope:

 

As a Data and Analytics Tester, you will play a critical role in validating the accuracy, functionality, and performance of our BI, Data Warehousing and ETL systems. You’ll work closely with FoundationX Data Engineers, analysts, and developers to ensure that our QLIK, Power BI, and Tableau reports meet high standards. Additionally, your expertise in ETL tools (such as Talend, DataBricks) will be essential for testing data pipelines.

 

Essential Job Responsibilities:

 

Development Ownership:

Support testing for Data Warehouse and MI projects. Collaborate with senior team members. Administer multi-server environments.

Test Strategy and Planning:

Understand project requirements and data pipelines. Create comprehensive test strategies and plans. Participate in data validation and user acceptance testing (UAT).

Data Validation and Quality Assurance:

Execute manual and automated tests on data pipelines, ETL processes, and models. Verify data accuracy, completeness, and consistency. Ensure compliance with industry standards.

Regression Testing:

Validate changes to data pipelines and analytics tools. Monitor performance metrics.

Test Case Design and Execution:

Create detailed test cases based on requirements. Collaborate with development teams to resolve issues. Maintain documentation.

Data Security and Privacy:

Validate access controls and encryption mechanisms. Ensure compliance with privacy regulations.

Collaboration and Communication:

Work with cross-functional teams. Communicate test progress and results.

Continuous Improvement and Technical Support:

Optimize data platform architecture. Provide technical support to internal users. Stay updated on trends in full-stack development and cloud platforms.