Business Analyst (R&D)

In this vital role you will play a key role in successfully leading the engagement model between Amgen's Technology organization and Global Commercial Operations.

• Collaborate with R&D Business SMEs, Data Engineers, Data Scientists and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Data & AI Product Teams

• Become a R&D domain authority in Data & AI technology capabilities by researching, deploying, and sustaining features built according to Amgens Quality System

• Lead the voice of the customer assessment to define business processes and product needs

• Work with Product Managers and customers to define scope and value for new developments

• Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog

• Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs

• Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team

• Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog

• Ensure Acceptance Criteria and Definition of Done are well-defined

• Work closely with Business SMEs, Data Scientists, ML Engineers to understand the requirements around Data product requirements, KPIs etc. Analyzing the source systems and createthe STTM documents.

• Develop and implement effective product demonstrations for internal and external partners

• Maintain accurate documentation of configurations, processes, and changes

• Understand end-to-end data pipeline design and dataflow

• Apply knowledge of data structures to diagnose data issues for resolution by data engineering team

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. We are seeking a highly skilled and experienced Principal IS Business Analyst with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders with these qualifications.

Basic Qualifications:

• Masters degree with 8 - 12 years of experience in R&D Informatics

• Bachelors degree with 10 - 14 years of experience in R&D Informatics

• Diploma with 14 - 18 years of experience in R&D Informatics

• Mandatory work experience in acting as a business analyst in DWH, Data product building, BI & Analytics Applications.

• Experience in Analyzing the requirements of BI, AI & Analytics applications and working with Data Source SME, Data Owners to identify the data sources and data flows

• Experience with writing user requirements and acceptance criteria

• Affinity to work in a DevOps environment and Agile mind set

• Ability to work in a team environment, effectively interacting with others

• Ability to meet deadlines and schedules and be accountable

Preferred Qualifications:

Must-Have Skills

• Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologies

• Experience with Agile software development methodologies (Scrum)

• Superb communication skills and the ability to work with senior leadership with confidence and clarity

• Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA

• Experience in managing product features for PI planning and developing product roadmaps and user journeys

Good-to-Have Skills:

• Demonstrated expertise in data and analytics and related technology concepts

• Understanding of data and analytics software systems strategy, governance, and infrastructure

• Familiarity with low-code, no-code test automation software

• Technical thought leadership

• Able to communicate technical or complex subject matters in business terms

• Jira Align experience

• Experience of DevOps, Continuous Integration, and Continuous Delivery methodology

Soft Skills:

• Able to work under minimal supervision

• Excellent analytical and gap/fit assessment skills

• Strong verbal and written communication skills

• Ability to work effectively with global, virtual teams

• High degree of initiative and self-motivation

• Ability to manage multiple priorities successfully

• Team-oriented, with a focus on achieving team goals

• Strong presentation and public speaking skills

Technical Skills:

• Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets)

• AWS (similar cloud-based platforms)

• Experience with design patterns, data structures, test-driven development

• Knowledge of NLP techniques for text analysis and sentiment analysis.