Business Analyst (R&D)
Amgen
Business Analyst (R&D)
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- 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 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
- Master’s degree with 8 - 12 years of experience in R&D Informatics
- Bachelor’s 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
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
- 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
- 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
- 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologiesintermediate
- Experience with Agile software development methodologies (Scrum)intermediate
- Superb communication skills and the ability to work with senior leadership with confidence and clarityintermediate
- Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRAintermediate
- Experience in managing product features for PI planning and developing product roadmaps and user journeysintermediate
- Demonstrated expertise in data and analytics and related technology conceptsintermediate
- Understanding of data and analytics software systems strategy, governance, and infrastructureintermediate
- Familiarity with low-code, no-code test automation softwareintermediate
- Technical thought leadershipintermediate
- Able to communicate technical or complex subject matters in business termsintermediate
- Jira Align experienceintermediate
- Experience of DevOps, Continuous Integration, and Continuous Delivery methodologyintermediate
- Able to work under minimal supervisionintermediate
- Excellent analytical and gap/fit assessment skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
- Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets)intermediate
- AWS (similar cloud-based platforms)intermediate
- Experience with design patterns, data structures, test-driven developmentintermediate
- Knowledge of NLP techniques for text analysis and sentiment analysisintermediate
Required Qualifications
- Master’s degree with 8 - 12 years of experience in R&D Informatics (experience)
- Bachelor’s degree with 10 - 14 years of experience in R&D Informatics (experience)
- Diploma with 14 - 18 years of experience in R&D Informatics (experience)
- Mandatory work experience in acting as a business analyst in DWH, Data product building, BI & Analytics Applications (experience)
- 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)
- Experience with writing user requirements and acceptance criteria (experience)
- Affinity to work in a DevOps environment and Agile mind set (experience)
- Ability to work in a team environment, effectively interacting with others (experience)
- Ability to meet deadlines and schedules and be accountable (experience)
Responsibilities
- 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 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
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Business Analyst (R&D)
Amgen
Business Analyst (R&D)
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- 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 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
- Master’s degree with 8 - 12 years of experience in R&D Informatics
- Bachelor’s 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
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
- 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
- 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
- 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologiesintermediate
- Experience with Agile software development methodologies (Scrum)intermediate
- Superb communication skills and the ability to work with senior leadership with confidence and clarityintermediate
- Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRAintermediate
- Experience in managing product features for PI planning and developing product roadmaps and user journeysintermediate
- Demonstrated expertise in data and analytics and related technology conceptsintermediate
- Understanding of data and analytics software systems strategy, governance, and infrastructureintermediate
- Familiarity with low-code, no-code test automation softwareintermediate
- Technical thought leadershipintermediate
- Able to communicate technical or complex subject matters in business termsintermediate
- Jira Align experienceintermediate
- Experience of DevOps, Continuous Integration, and Continuous Delivery methodologyintermediate
- Able to work under minimal supervisionintermediate
- Excellent analytical and gap/fit assessment skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
- Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets)intermediate
- AWS (similar cloud-based platforms)intermediate
- Experience with design patterns, data structures, test-driven developmentintermediate
- Knowledge of NLP techniques for text analysis and sentiment analysisintermediate
Required Qualifications
- Master’s degree with 8 - 12 years of experience in R&D Informatics (experience)
- Bachelor’s degree with 10 - 14 years of experience in R&D Informatics (experience)
- Diploma with 14 - 18 years of experience in R&D Informatics (experience)
- Mandatory work experience in acting as a business analyst in DWH, Data product building, BI & Analytics Applications (experience)
- 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)
- Experience with writing user requirements and acceptance criteria (experience)
- Affinity to work in a DevOps environment and Agile mind set (experience)
- Ability to work in a team environment, effectively interacting with others (experience)
- Ability to meet deadlines and schedules and be accountable (experience)
Responsibilities
- 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 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
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories