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 cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
The Engineering Data Analysis & Reporting Analyst is an individual contributor role responsible for delivering trusted, standardized analytics, reporting, and insights across Environmental Health & Safety (EHS) and Engineering Operations Services (EOS) domains.
This role enables data-driven decision-making by designing, developing, and maintaining dashboards, KPI frameworks, and analytics solutions that provide actionable insights into operational performance, compliance, risk management, and continuous improvement initiatives.
Reporting to the Engineering Data analysis and Reporting Lead, this role partners closely with Engineering, EHS, EOS, Master Data Management, Data Engineering, and Technology teams to ensure reporting solutions are scalable, secure, compliant, and aligned with enterprise data and analytics strategies. The role will leverage Microsoft Fabric, Databricks, Enterprise Data Lake (EDL), Power BI, and Tableau platforms to integrate data, build reporting solutions, and maintain KPI governance standards.
ROLES & RESPONSIBILITIES
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Develop, maintain, and enhance standardized dashboards, scorecards, and reports supporting EHS and EOS governance, operational performance, compliance monitoring, and business decision-making.
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Design and implement interactive reporting solutions using Power BI, Tableau, and Microsoft Fabric to provide actionable business insights.
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Integrate and transform data from Enterprise Data Lake (EDL), Databricks, enterprise applications, and other data sources to create scalable reporting and analytics solutions.
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Build and maintain datasets, semantic models, and reporting layers that ensure consistent KPI calculations and reporting standards across EHS and EOS.
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Establish, maintain, and continuously improve the EHS and EOS KPI Registry, including KPI definitions, business rules, calculations, ownership, targets, thresholds, source systems, and reporting governance.
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Define, document, and maintain leading and lagging indicators that support proactive risk management, operational performance monitoring, and compliance reporting.
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Support the Data Analysis and Reporting Lead in managing and maintaining SharePoint sites, reporting content, document libraries, permissions, and data resources; requires proficiency in SharePoint administration, information architecture, data organization, access management, and stakeholder support.
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Ensure analytics and reporting solutions are accurate, traceable, validated, and audit ready.
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Perform data validation, reconciliation, and quality checks to ensure data integrity and reporting reliability.
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Translate business, operational, compliance, and stakeholder requirements into reporting and analytics solutions.
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Analyze data to identify trends, performance gaps, risks, opportunities, and emerging signals that support continuous improvement initiatives.
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Develop executive-level reporting, management scorecards, and ad-hoc analytics to support strategic and operational decision-making.
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Collaborate with Systems, Master Data Management, Data Engineering, and Technology teams to improve data quality, governance, and reporting capabilities.
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Support reporting governance processes, KPI standardization, metric alignment, and reporting best practices.
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Identify opportunities to automate reporting processes, streamline workflows, and improve reporting efficiency through analytics and technology solutions.
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Create and maintain reporting documentation, data dictionaries, KPI definitions, and process documentation to support sustainable operations and knowledge management.
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Engage stakeholders across Engineering, EHS, EOS, Operations, Quality, Compliance, and Technology organizations to ensure reporting solutions meet business needs and drive adoption.
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Interpret data using sound analytical methods and business context to provide meaningful recommendations and actionable insights.
BASIC QUALIFICATIONS & EXPERIENCE
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, Statistics, Business Analytics, or related fields.
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7–9 years of experience in business intelligence, analytics, reporting, data visualization, or data management roles.
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Hands-on experience developing dashboards and reporting solutions using Power BI and Tableau.
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Experience developing KPI frameworks, metric definitions, reporting standards, and governance processes.
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Experience integrating and analyzing data from multiple enterprise systems and data sources.
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Demonstrated experience translating business requirements into reporting and analytics solutions.
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Experience performing data validation, quality assurance, and reporting controls within a regulated environment.
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Ability to work on site in Hyderabad and collaborate with stakeholders across global time zones when required.
PREFERRED QUALIFICATIONS & SKILLS
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Advanced expertise with Power BI, Tableau, Microsoft Fabric, and Databricks analytics environments.
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Experience building and maintaining KPI registries, metric catalogs, data dictionaries, and reporting governance frameworks.
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Strong understanding of leading and lagging indicators, operational performance metrics, and risk-based reporting methodologies.
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Experience supporting EHS, Engineering, Facilities, Manufacturing, Operations, or Quality business functions.
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Experience working with EHS platforms such as Cority, Sphera, Enablon, or similar systems.
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Knowledge of enterprise data governance, master data management, and data quality best practices.
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Strong stakeholder management and collaboration skills with the ability to influence without direct authority.
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Excellent verbal, written, and presentation communication skills.
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Demonstrated ability to manage multiple priorities and deliver results in a fast-paced global environment.
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Experience supporting continuous improvement, automation, and digital transformation initiatives.
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Familiarity with AI-enabled analytics, predictive reporting, and advanced visualization techniques.
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Experience working across regions and time zones with global stakeholder teams.
PROFESSIONAL CERTIFICATIONS:
- Certifications in Microsoft Power BI, Tableau (Certified Professional), or Databricks (Data Analyst/Data Engineer) are advantageous and considered a plus.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Work Hours
Work hours and shift requirements may vary based on business needs. Flexibility to work across different shifts may be required.
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