The Specialist Business Systems Analyst for the R&D Data Catalyst Team is responsible for defining and specifying features for several technology products supporting R&D Precision medicine. These products are principally Data Management and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen's wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These are not transactional solutions but rather visibility solutions that are based on enterprise data mastering, standardization, harmonization, and linking, and federated visibility into multiple data repositories. These solutions are pivotal tools in Amgen's goal to accelerate speed to discovery, and speed to market of advanced precision medications.

This role involves close collaboration with Architecture and Engineering leaders supporting this product team, and related product teams, along with User representative stakeholders to define and prioritize features, and provide a roadmap for feature development. The successfully candidate will be an exceptional data analyst, with an ability to quickly learn terminology and business process from across the entire Amgen business.

Roles & Responsibilities:

Perform data analysis and data profiling to surface range of values in various data sources and propose unification logic
Create and maintain the feature backlog in Jira, documenting the detailed specifications based on data analysis and
Collaborate with stakeholders to gather and document product requirements, user stories, and acceptance criteria
Work closely with the business teams, Scrum Master and development team to plan and execute sprints, reviewing feature iterations and providing feedback
Develop User Guides and Release Notes
Create robust written materials, including product documentation, product backlog and user stories, and creating other need artifacts to assure efficient and effective coordination across timezones.
Define, monitor, and manage service level agreements (SLAs) to ensure the service meets performance and availability requirements
Oversee the resolution of service-related incidents and problems, ensuring minimal impact on business operations
Analyze product performance data, customer behavior, and market trends to inform product decisions
Create and maintain reports and dashboards that provide insights into product performance, user engagement, and other key metrics
Conduct market research and competitive analysis to identify opportunities and inform product strategy
Analyze customer feedback and support data to identify pain points and opportunities for product improvement

Basic Qualifications and Experience:

Master's or Bachelor's degree with 8 - 12 years of experience in Product Owner / Platform Owner / Service Owner OR

Functional Skills:

Must-Have Skills:

Exceptional data analysis and data profiling skills
Advanced SQL query development
Experience using excel workbooks to drive data stewarding and curation tasks
Experience reviewing data profiling findings with non-technical users
Hands on skills using PowerBi including building basic models and reports
Strong knowledge of Agile methodologies and product management principles, and backlog and feature management tools including Jira and Confluence
Strong knowledge of IT service management (ITSM) principles and methodologies
Strong experience with development of data-management and visibility products such as data warehouses, master data management and data visualization and knowledge management solutions
Success in mentoring and developing strong product analysts, business analysts, and data profilers.

Good-to-Have Skills:

Experience in developing differentiated and deliverable solutions
Experience with human data, ideally human healthcare data
Experience using LLM and AI capabilities to gather information and aid in data curation and creating metadata
Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

SAFe Agile Practitioner (6.0)

Soft Skills:

Excellent analytical and troubleshooting skills
Deep intellectual curiosity, particularly about data patterns, and learning about business processes and life of the user
Highest degree of initiative and self-motivation
Strong verbal and written communication skills, including presentation of varied audiences through complex technical/business topics
Ability to work effectively with global, virtual teams, specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones
Ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals
Strong problem solving, analytical skills;
Ability to learn quickly and retain and synthesize complex information from diverse sources

Specialist IS Business Systems Analyst, R&D Data Catalyst Team