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Customer / Transportation Master Data Analyst - Job Opportunity at Amgen

Hyderabad, India
Full-time
Mid-level
Posted: May 30, 2025
On-site
Based on the mid-level requirements, Hyderabad location, and Amgen's market position as a leading biotech company, the salary range is likely INR 800,000 to INR 1,500,000 annually (approximately USD 9,600 to USD 18,000), which is competitive for the Indian pharmaceutical market and reflects the specialized nature of master data management in regulated industries.

Benefits

Competitive and comprehensive Total Rewards Plans aligned with local industry standards, providing above-market compensation packages that reflect Amgen's position as a leading biotechnology company
Professional and personal growth opportunities within a global pharmaceutical leader, offering structured career development paths in the high-growth biotech sector
Collaborative and innovative work culture that fosters scientific excellence and cross-functional learning in a mission-driven environment focused on patient care
Comprehensive healthcare benefits package typical of multinational pharmaceutical companies, including medical, dental, and wellness programs
Global exposure and networking opportunities through work with virtual international teams across Amgen's worldwide operations

Key Responsibilities

Drive organizational data excellence by ensuring accuracy and consistency of critical customer and transportation master data across enterprise systems, directly impacting supply chain efficiency and customer satisfaction metrics
Lead data validation, cleansing, and enrichment initiatives that form the foundation for strategic business decisions and regulatory compliance in pharmaceutical operations
Orchestrate cross-functional collaboration with business, IT, and operations teams to resolve complex data-related issues, ensuring alignment with organizational goals and regulatory requirements
Spearhead process optimization initiatives that enhance data management workflows, contributing to operational efficiency improvements and cost reduction across the supply chain
Conduct strategic data analysis to identify trends, discrepancies, and improvement opportunities that drive business intelligence and support executive decision-making
Champion data governance and compliance efforts by maintaining quality reports and performance metrics that ensure adherence to pharmaceutical industry standards and regulatory requirements
Provide expertise and training to internal partners, customers, and end-users on master data processes, establishing best practices that scale across the organization
Support critical data migration and integration projects that enable business transformation and system modernization initiatives

Requirements

Education

Master's degree and 1 to 3 years of experience OR Bachelor's degree and 3 to 5 years of experience OR Diploma and 7 to 9 years of experience

Experience

1 to 9 years depending on education level in SAP ECC, master data management, data governance, or data operations, preferably in healthcare or biotech supply chains

Required Skills

Experience in SAP/Oracle enterprise applications Microsoft Office proficiency (Excel, PowerPoint) Data management tools experience (e.g., Informatica, Oracle MDM) Strong ability to analyze large datasets and deliver actionable insights Root cause analysis and problem-solving capabilities High accuracy and attention to detail with focus on data quality Excellent written and verbal communication skills Ability to present findings to both technical and non-technical stakeholders Understanding of master data management processes, frameworks, and governance Basic understanding of data governance frameworks Good analytical and troubleshooting skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Team-oriented approach focused on achieving team goals
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Sauge AI Market Intelligence

Industry Trends

The pharmaceutical and biotechnology industry is experiencing unprecedented digital transformation, with master data management becoming critical for regulatory compliance, supply chain optimization, and patient safety. Companies are investing heavily in data governance frameworks to support personalized medicine initiatives and real-time supply chain visibility. Healthcare organizations are increasingly adopting cloud-based master data management solutions and AI-driven data quality tools to handle the complexity of global operations, regulatory requirements across multiple jurisdictions, and the need for real-time data accuracy in drug manufacturing and distribution. The shift toward value-based healthcare and precision medicine is driving demand for data analysts who can ensure data integrity across customer and transportation networks, as pharmaceutical companies need accurate master data to support patient access programs, specialty pharmacy networks, and cold chain logistics for biologics.

Role Significance

Typically works within a data management team of 5-8 professionals, reporting to a Senior Data Manager or Supply Chain Analytics Manager, with regular interaction across IT, supply chain, and business operations teams spanning multiple global regions.
This is a mid-level individual contributor role with significant operational impact, requiring independent decision-making on data quality issues and serving as a subject matter expert for master data processes. The role involves cross-functional collaboration and process improvement responsibilities that influence organizational efficiency.

Key Projects

Implementation of SAP S/4HANA migration projects requiring master data cleansing and validation Customer master data harmonization initiatives supporting global supply chain optimization Transportation master data standardization projects enabling real-time logistics tracking and compliance reporting Data governance framework implementation supporting regulatory audit readiness and quality system requirements

Success Factors

Deep understanding of pharmaceutical supply chain complexities and regulatory requirements that impact master data accuracy and compliance in global biotech operations Proficiency in enterprise systems architecture, particularly SAP ECC and emerging S/4HANA platforms, combined with advanced Excel modeling capabilities for complex data analysis and validation processes Strong stakeholder management skills to navigate cross-functional teams across different time zones, cultures, and business priorities while maintaining focus on data quality objectives Analytical mindset with attention to detail that enables identification of data patterns, anomalies, and improvement opportunities that drive operational efficiency and regulatory compliance Adaptability to evolving technology platforms and data governance frameworks as the pharmaceutical industry continues digital transformation initiatives

Market Demand

High demand driven by the critical importance of data integrity in pharmaceutical supply chains, regulatory compliance requirements, and the growing complexity of global biotech operations requiring specialized master data management expertise.

Important Skills

Critical Skills

SAP ECC expertise is absolutely essential as it forms the backbone of Amgen's global operations, and proficiency in this system directly impacts the ability to manage customer and transportation master data effectively across all business units and geographic regions Master data management knowledge is fundamental to success in this role, as understanding data governance frameworks, validation processes, and quality standards is crucial for maintaining the integrity of information that supports regulatory compliance and patient safety Analytical skills with Excel proficiency are critical for conducting complex data analysis, identifying trends and discrepancies, and creating reports that drive business decisions and support continuous improvement initiatives across the supply chain

Beneficial Skills

SAP S/4HANA experience would provide significant advantage as Amgen and other pharmaceutical companies transition to next-generation ERP platforms, positioning the analyst for future system implementations and advanced analytics capabilities Healthcare or pharmaceutical industry experience offers valuable context for understanding regulatory requirements, patient safety considerations, and the unique challenges of biotechnology supply chains including cold chain logistics and specialty distribution networks Data visualization tools such as Tableau or Power BI would enhance the ability to present insights to stakeholders and support data-driven decision making across cross-functional teams and senior leadership

Unique Aspects

Opportunity to work with cutting-edge biotechnology products and complex supply chains that require specialized handling, cold chain logistics, and patient access programs unique to the biotech industry
Exposure to global pharmaceutical regulations and compliance requirements across multiple markets, providing valuable experience in data governance frameworks specific to highly regulated industries
Direct contribution to patient care through ensuring data accuracy that supports drug manufacturing, distribution, and patient access programs for life-saving biotechnology medicines
Access to advanced enterprise systems and data management technologies as Amgen continues to invest in digital transformation and Industry 4.0 initiatives for pharmaceutical manufacturing and supply chain optimization

Career Growth

Advancement to senior analyst roles typically occurs within 2-3 years with demonstrated expertise in SAP systems and data governance, while transition to management roles generally requires 4-6 years of experience with proven track record in process improvement and cross-functional leadership.

Potential Next Roles

Senior Master Data Analyst with expanded scope covering additional data domains such as product master data or vendor master data Master Data Management Lead responsible for team management and strategic data governance initiatives across multiple therapeutic areas Supply Chain Data Manager overseeing end-to-end data analytics and reporting for global pharmaceutical operations Business Intelligence Analyst focusing on advanced analytics and predictive modeling for supply chain optimization

Company Overview

Amgen

Amgen stands as one of the world's leading independent biotechnology companies, pioneering innovative medicines since 1980 with a focus on serious illnesses across oncology, inflammation, general medicine, and rare diseases. The company operates globally with significant research and development investments, manufacturing facilities across multiple continents, and a robust pipeline of breakthrough therapies.

Amgen maintains a top-tier position in the global biotechnology sector with annual revenues exceeding $25 billion, ranking among the largest biotech companies worldwide and consistently recognized for scientific innovation, workplace culture, and patient impact across its four core therapeutic areas.
The Hyderabad location represents Amgen's strategic expansion in India, serving as a key hub for global operations support, data management, and supply chain analytics, leveraging India's strong technical talent pool and cost-effective operations model for supporting worldwide pharmaceutical operations.
Amgen fosters a science-based, collaborative environment that emphasizes patient impact, innovation, and professional development, with strong emphasis on cross-functional teamwork, continuous learning, and mission-driven work that directly contributes to improving patient outcomes globally.
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