Junior BI Engineer
Amgen
full-time
Posted on:
Location Type: Hybrid
Location: Lisbon • Portugal
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Job Level
About the role
- Contribute to maintaining and evolving the internal data backbone that powers performance dashboards and reporting tools used across commercial teams
- Support and collaborate with offshore teams ensuring operational stability while driving innovation across the analytics ecosystem
- Implement data table optimizations to improve scalability and efficiency for downstream users
- Partner with BI analysts, visualization developers, and back-end engineers across regions (US, Portugal, India) to align requirements and deliver on assigned work; manage your own tasks and timelines
- Assist with integrating and maintaining the data ecosystem (brand, web traffic, media performance)
- Collaborate with cross-functional teams working with ad servers, tag managers, and web analytics platforms (e.g., Google Analytics) to align on data capture and reporting needs
- Perform data QA and help standardize metrics, contributing to documentation and the evolution of reporting frameworks for consistency
- Evaluate and pilot AI-enabled analytics features on focused use cases to enhance automation and insight generation; share learnings with the team
- Use embedded AI capabilities in BI platforms (e.g., natural-language insights, alerting) to streamline recurring reporting and support decision making.
- Proactively flag gaps and propose incremental improvements to the MIO analytics stack; manage a clear backlog, meet deadlines, and escalate risks early.
Requirements
- Minimum 3+ years of relevant experience in BI development, data analytics, or a similar technical role
- OR Master’s degree and 3 years of experience in a quantitative field
- OR Bachelor’s degree and 5 years of experience in a quantitative field
- University Degree in computer science, engineering, mathematics, healthcare or related field
- Fluency in English, both in written and oral communication
- Strong SQL skills and experience with cloud data platforms
- Proficiency in Python and experience with data preparation and transformation
- Familiarity with media data, digital marketing tools, and marketing analytics infrastructure
- Experience working with APIs, building data pipelines, and handling structured/unstructured data
- Exposure to AI/ML concepts or tools (e.g., AutoML platforms, Python-based AI libraries, or embedded AI in BI tools)
- Proven track record of working collaboratively across technical and non-technical teams.
- Comfort navigating ambiguous requirements and working toward clarity and alignment.
Benefits
- Generous Amgen Total Rewards Plan comprising healthcare, finance, wealth and career benefits
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata analyticsBI developmentdata preparationdata transformationAPIsdata pipelinesstructured dataunstructured data
Soft Skills
collaborationcommunicationproblem-solvingtime managementadaptabilityinnovationattention to detailproactive approachstakeholder managementclarity in requirements