Lisbon Data Product Analyst: Analytics & AI Focus

amgen; Lisboa; Presencial; EUR 36 000 - 48 000; Tempo integral

Resumo da oferta

AMGEN Capability Center Portugal in Lisbon seeks a Data Business Analyst to help develop data capabilities that enable deeper insights and informed business decisions. The role collaborates with SMEs, product teams, UX, and data engineers to translate needs into actionable requirements and deliver data products using AWS, Redshift, Databricks, and related tools.

You will write user stories, manage backlogs, and help define acceptance criteria while supporting data pipeline designs and end-to-end

Qualificações

• 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.

Responsabilidades

• Collaborate with business SMEs and product teams to manage data analysis activities and align with objectives.
• Support Voice of the Customer assessments to understand user needs and define requirements.
• Write clear User Stories, requirements, and Acceptance Criteria in Jira using the INVEST framework.
• Facilitate breakdown of Epics into Features and sprint-sized User Stories and participate in backlog refinement.
• Develop data models and product documentation for AI model access and interpretation.

Conhecimentos

Data analytics

English

Agile/Scrum

User story writing

Requirements gathering

Formação académica

Bachelor's degree

Master's degree

Ferramentas

Databricks

Amazon Redshift

Amazon S3

AWS

Python

SQL

Airflow

Descrição da oferta de emprego

AMGEN Capability Center Portugal in Lisbon seeks a Data Business Analyst to help develop data capabilities that enable deeper insights and informed business decisions. The role collaborates with SMEs, product teams, UX, and data engineers to translate needs into actionable requirements and deliver data products using AWS, Redshift, Databricks, and related tools.

You will write user stories, manage backlogs, and help define acceptance criteria while supporting data pipeline designs and end-to-end