Associate Business Analyst

Career Category

Information Systems

Job Description

Let’s do this. Let’s change the world. We are looking for a Business Analyst with a proven versatile skillset, including technical acumen and excellent learning agility with the ability to lead joint discussions requiring creative solutions to complex healthcare industry challenges. The Analyst will leverage the combination of prior experience, problem solving skills and client engagement skills to drive commercial business strategies to successful outcomes.

In this vital role you will work between Amgen's Technology organization and our Global business partners in Commercial Data & Analytics. We seek a techno-functional professional with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders. Are you interested in working with a team that consistently delivers business value in an agile model using technologies such as AWS, Databricks, Airflow, and Tableau? Come join our team! 

Roles & Responsibilities:  

• Collaborate with senior leaders on the Field Analytics product team within the Commercial Data & Analytics organization, focused on operations within the United States 

• Interact with business clients and technology management to create technology roadmaps, build cases, and drive DevOps to achieve the roadmaps 

• Help to mature Agile operating principles through deployment of creative and consistent practices for user story development, robust testing and quality oversight, and focus on user experience 

• Ability to connect and understand our vast array Commercial and other functional data sources including Sales, Activity, and Digital data, etc. into consumable and user-friendly modes (e.g., dashboards, reports, mobile, etc.) for key decision makers such as executives, brand leads, account managers, and field representatives. 

• Become the lead subject matter expert in Reporting and Incentive Compensation capabilities by researching and implementing new tools and features, internal and external methodologies 

Basic Qualifications and Experience (TBD for AIN ): 

• Master’s OR bachelor's degree with 2 to 5 years of experience in Information Systems experience

Must-Have Skills 

• Excellent problem-solving skills and a passion for tackling complex challenges in data and analytics with technology 

• Experience working in a Scaled Agile Framework (SAFe) 

• Excellent interpersonal skills, strong attention to detail, and ability to influence based on data and business value 

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

• Ability to explain sophisticated technical concepts to non-technical clients 

Good-to-Have Skills: 

• Understanding of software systems strategy, governance, and infrastructure 

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

• Strong understanding of sales and incentive compensation value streams 

• Familiarity with low-code, no-code test automation software  and basic SQL & Python programming

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

Soft Skills: 

• Able to work effectively across multiple geographies (primarily India, Portugal, and the United States) under minimal supervision 

• Demonstrated proficiency in written and verbal communication in English language 

• Intellectual curiosity and the ability to question partners across functions 

• Ability to prioritize successfully based on business value 

• High degree of initiative and self-motivation 

• Ability to manage multiple priorities successfully across virtual teams 

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

• Strong presentation and public speaking skills 

Technical Skills: 

• ETL tools: Experience in ETL tools such as Databricks 

• SQL scripting and Basic Python Programming

• Redshift or equivalent cloud-based dB 

• Big Data, Analytics, Reporting, Data Lake, and Data Integration technologies 

• S3 or equivalent storage system 

• AWS (similar cloud-based platforms) 

• BI Tools (Tableau and Power BI preferred)

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