Associate Data Analytics

Job Title: Associate Data Analytics Company: Amgen Job Category: Data Science Roles & Responsibilities: India \- Hyderabad JOB ID: R\-261384 LOCATION: India \- Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Nov. 12, 2026 CATEGORY: Medical Affairs ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the forefront of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description: The Medical Data Analyst will partner with Global Medical Affairs to deliver data\-driven insights that inform scientific engagement, strategic planning, and patient\-focused initiatives. In this role, you will independently manage defined analytical assignments, bringing together information from a variety of datasets and translating it into clear, actionable insights. As a contributing member of the Medical Data and Analytics (MD\&A) team, you will work closely with cross\-functional partners, help ensure analytical quality, and support informed decisions that contribute to improving patient outcomes. Key Responsibilities * Build, enhance, and maintain dashboards, reports, and visualizations using tools such as Python, R, SQL, Tableau, Power BI, or similar platforms; ensure outputs are accurate, usable, and aligned with stakeholder needs. * Contribute to defining and monitoring KPIs by assessing performance trends, investigating meaningful changes, and communicating relevant implications to stakeholders. * Develop and maintain reusable code components, analytical templates, and documentation that improve efficiency, consistency, and scalability of analytics work. * Collaborate with data science, IT, engineering, and external partners to coordinate data access, resolve quality issues, and support appropriate governance across systems. * Manage assigned analytical work within Agile workflows by refining requirements, breaking work into deliverables, tracking timelines and dependencies, raising risks early, and delivering iteratively with appropriate stakeholder updates. * Apply experience in biotech or pharmaceutical analytics to HCP\- or patient\-level analyses and subnational market assessments, with attention to data context and business relevance. * Perform data extraction, cleaning, and analysis using SQL and Python, and apply familiarity with AI/ML techniques where they can address business needs. * Develop or enhance analytical models by preparing inputs, evaluating assumptions, and conducting scenario analyses aligned with strategic objectives; document methods and limitations. * Develop and refine dashboards and visualizations in tools such as Databricks, Tableau, or Power BI, and communicate trends and performance metrics in a way that supports stakeholder decisions. * Demonstrate strong problem\-solving skills, including the ability to structure ambiguous questions, determine an appropriate analytical approach, and work through assignments with limited day\-to\-day direction. * Translate business requirements into well\-defined analytical questions, work plans, data needs, and clear deliverables, confirming scope and success measures with stakeholders. * Create and present medical analytics communications by translating complex data into concise, balanced insights for cross\-functional partners and leadership audiences. * Identify and assess analytics opportunities related to service optimization, including automation, capacity assessment, and digital workflow improvements. * Coordinate assigned project work by setting milestones, managing dependencies, supporting Agile ceremonies, monitoring KPIs, and communicating progress or risks to relevant partners. * Manage multiple assignments and shifting priorities independently, maintaining quality and communicating trade\-offs or timing risks early. * Adapt to changing priorities in a fast\-paced environment while maintaining sound judgment, attention to detail, and a focus on patient and business needs. Work Location: Telangana, India Availability: Full time

Basic Qualifications: Bachelor’s degree in Computer Science, Engineering, Mathematics, Healthcare, or a related field and 2\-4 years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting, or related experience. Preferred Qualifications: Soft Skills: Key Skills: Data Science, Python, SQL, Power BI, Tableau Salary: Not disclosed