Job Description

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 position is based in Bengaluru and will require some on-site work.

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:

Data Strategy Contribution: Contribute to the organization's data strategy by identifying opportunities for data-driven insights and improvements. Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond. Design, develop and implement robust and scalable data analytics using modern technologies. Collaborate with cross functional teams and practices across the organization including Commercial, Manufacturing, Medical, DataX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions. Provide Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible. Champion continuous improvement initiatives identifying opportunities to optimize performance security and maintainability of existing data and platform architecture and other technology investments. Participate in the continuous delivery pipeline. Adhering to DevOps best practises for version control automation and deployment. Ensuring effective management of the FoundationX backlog. Leverage your knowledge of data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilization. Stay-up-to-date on the latest trends and technologies in data engineering and cloud platforms.

Qualifications:

Required

Bachelor's degree in computer science, information technology, or related field (or equivalent experience.) 5 years+ experience in using Qlik, PowerBI or equivalent technologies Familiarity with Business Intelligence and Data Warehousing concepts. Web integration skills (Qlik Sense). Advanced SQL knowledge. Understanding of stored procedures, triggers, and tuning. Business Intelligence Tools: QLIK: Proficiency in designing, developing, and maintaining QLIK applications. Experience with QLIK Sense and QLIKView is highly desirable. Experience working with N-Printing, Qlik Alerting Expert at creating and consuming complex Qlik/PowerBI data models Power BI: Strong expertise in creating interactive reports, dashboards, and visualizations using Power BI. Knowledge of DAX (Data Analysis Expressions) is essential and Power Automate (MS Flow) or PowerBI alerts Data Modeling and Integration: Best practice knowledge of modelling data that is to be consumed by QlikSense or PowerBI Ability to design and implement logical and physical data models. Familiarity with data warehousing concepts, including star schema, snowflake schema, and data marts. Understanding of ETL (Extract, Transform, Load) processes and data integration techniques. SQL and Database Management: + Proficiency in SQL for querying and manipulating data. + Knowledge of database management systems (e.g., SQL Server, Oracle, MySQL).
Data Governance and Quality: Understanding of data governance principles, data lineage, and metadata management Experience ensuring data quality, consistency, and accuracy Experience performance tuning BI data models and reports to ensure apps are responsive to users' needs Proven skill at creating dashboards of pixel perfect quality The ability to work with end users to uncover business requirements and turn these into powerful action orientated applications. Create and maintain technical documentation Ability to communicate and work effectively with other technical team members to agree best solution A self-starter able to work on own but know when to collaborate with wider team to ensure best overall solution. Experience working with data warehousing and data modelling Understanding of Qlik, Tableau and or PowerBI architecture or any equivalent technology Ability to install, configure and upgrade Qlik/ PowerBI or equivalent systems Conducting Unit Testing and troubleshooting BI systems Data Analysis and Automation Skills: Proficient in identifying, standardizing, and automating critical reporting metrics Ensuring Data Security and Compliance with relevant internal, global and or regional regulation Assist users with ad-hoc queries and data troubleshooting. Use analytics to understand root causes and drive decision-making for customer acquisition and retention. Analytical Thinking: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement. Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery.

Preferred

Experience with other BI tools (Tableau, D3.js) is a plus. Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within Life Sciences/ Pharma industry across Commercial, Manufacturing and Medical domains. Other complex and highly regulated industry experience will be considered across diverse areas like Commercial, Manufacturing and Medical. Data Analysis and Automation Skills: Proficient in identifying, standardizing, and automating critical reporting metrics and modelling tools Analytical Thinking: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement. Technical Proficiency: Strong coding skills in SQL, R, and/or Python, coupled with expertise in machine learning techniques, statistical analysis, and data visualization. Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery. Experience working in the Pharma/ Lifesciences industry. Experience in storytelling with data Visualisation best practices * Knowledge/experience using Qlik, or PowerBI SaaS solutions.