Data Business Analyst

Stack

Responsibilities

• ▹Collaborate with business subject matter experts and product team members to manage data analysis activities and ensure alignment with product and engineering objectives across the Commercial Data & Analytics team
• ▹Support Voice of the Customer assessments to understand user needs, define business processes and identify product requirements
• ▹Gather, analyze and document functional and non-functional requirements, ensuring they are included and prioritized in Product and Release Backlogs
• ▹Break down Epics into Features and sprint-sized User Stories and participate in backlog refinement and review sessions with development teams
• ▹Write clear User Stories, requirements and supporting documentation
• ▹Define clear Acceptance Criteria and Definition of Done requirements and ensure their traceability to product objectives and key results
• ▹Work with UX professionals to align technical requirements, business scenarios and process maps with user experience designs
• ▹Support PI Planning activities, product roadmap development and the creation of user journeys
• ▹Prepare and deliver product demonstrations for internal and external stakeholders
• ▹Maintain accurate documentation of product configurations, processes, requirements and changes
• ▹Develop an understanding of end-to-end data pipeline designs and data flows across the Commercial Data Lake
• ▹Use knowledge of data structures and data analytics to investigate and diagnose data issues for resolution by the data engineering team
• ▹Produce data models and product documentation in formats that can be effectively accessed and interpreted by AI models
• ▹Execute and monitor Extract, Transform and Load (ETL) jobs and support the investigation of performance or data-quality issues
• ▹Participate actively in Agile ceremonies, including stand-ups, sprint planning, backlog refinement, reviews and retrospectives
• ▹Contribute to the continuous improvement of data products, delivery processes and analytics capabilities

Requirements

• ▹High School Diploma or GED and eight years of data analytics experience; or Associate's Degree and six years; or Bachelor's Degree and two years; or Master's Degree
• ▹Experience gathering, documenting and translating business or product needs into clear functional and non-functional requirements
• ▹Experience working with data and analytics concepts, systems or products
• ▹Proficiency in English

Nice to have

• ▹Strong problem-solving, analytical and critical-thinking skills for complex data challenges
• ▹Experience with Agile software development methodologies, particularly Scrum
• ▹Experience writing User Stories, requirements and Acceptance Criteria in Jira using the INVEST framework
• ▹Experience managing product features for PI Planning and contributing to product roadmaps and user journeys
• ▹Knowledge of data and analytics technologies and related technical concepts
• ▹Understanding of data and analytics software strategy, governance, infrastructure and data-quality principles
• ▹Understanding of end-to-end data pipelines, data flows, data structures and ETL processes
• ▹Experience with cloud-based data technologies such as Databricks, Amazon Redshift, Amazon S3, AWS or comparable platforms
• ▹Hands-on experience using Python and/or SQL for data analysis, investigation, validation or troubleshooting
• ▹Familiarity with Airflow or comparable data workflow orchestration technologies
• ▹Familiarity with low-code or no-code test automation tools
• ▹Knowledge of AI and machine learning frameworks, including Large Language Models, generative AI or agentic AI frameworks
• ▹Experience working with product owners, business stakeholders, UX professionals, data engineers and other technical teams

Soft skills

What we offer

• ▹Vast opportunities to learn, develop and move up and across the global organization
• ▹Diverse and inclusive community of belonging, where colleagues bring ideas, take risks and act
• ▹Generous AMGEN Total Rewards Plan comprising healthcare, finance, wealth and career benefits
• ▹Flexible work arrangements

About the company

AMGEN's Lisbon capability center employs over 500 people from more than 40 nationalities across data and analytics, digital, technology, cybersecurity and many other areas, supporting the company's mission to serve patients.