Business Analyst (Global Commercial Operations)

12 - 17 years

16 - 20 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Let s do this. Let s change the world. In this vital role you will play a key role in successfully leading the engagement model between Amgens Technology organization and Global Commercial Operations.
  • Collaborate with global commercial operations 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 global commercial operations domain authority in Data & AI technology capabilities by researching, deploying, and sustaining features built according to Amgen s 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 SME s, Data Scientists, ML Engineers to understand the requirements around Data product requirements, KPI s etc. Analyzing the source systems and create the 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.
Basic Qualifications:
  • Doctorate degree / Masters degree / Bachelors degree and 12 to 17 years of experience in global commercial operations Information Systems
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

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