External Data Analyst

Career Category Engineering Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world s toughest diseases and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today.

ABOUT THE ROLE

Role Description:

The External Data Analyst will be responsible for optimizing spend and reuse of external data. This role is responsible for maintaining a data catalog with harmonized metadata across functions to increase visibility, promote reuse, and lower the annual spend. The External Data Analyst will assess investments in external data and will provide recommendations to the Enterprise Data Council to inform investment approval. This role will work with Global Strategic Sourcing and the Cyber Security Team to standardize contracting of data purchases. The External Data Analyst will also work closely with the data engineering team and external data providers to manage the lifecycle of the data assets.

This role will be responsible for co-defining and operationalizing the business process to capture metadata related to the forecast of data purchases. The person in this role will coordinate activities at the tactical level, interpreting Enterprise Data Council direction and defining operational level impact deliverables and actions to maximize data investments.

Roles & Responsibilities:

• Responsible for cataloging all external data assets, including the harmonization of metadata to increase reuse and inform future data acquisitions.
• Co-develop and maintain the process to consistently capture external data purchase forecast, focusing on generating the required metadata to support KPIs and reporting.
• Responsible for working with Global Strategic Sourcing and Cyber Security teams to standardize data contracts to enable the reuse of data assets across functions.
• In partnership with functional data SMEs, develop internal expertise on the content of external data to increase reuse across teams. This includes, but is not limited to, participating in data seminars to bring together data SMEs from all functions to increase data literacy.
• In partnership with the Data Engineering team, design data standardization rules to make external data FAIR from the start.
• Maintain the quality of data.
• In partnership with the Data Privacy and Policy team develop and operationalize data access controls to adhere to the terms of the data contracts to ensure data access controls, compliance, and security requirements are enforced.
• Maintain policies and ensure compliance with data privacy, security, and contractual policies
• Publish metrics to measure effectiveness of data reuse, data literacy and reduction in data spend.

Functional Skills:

Must-Have Skills:

• Experience managing external data assets used in the life-science industry (e. g. , Claims, EHR, etc. )
• Experience working with data providers, supporting negotiations and vendor management activities.
• Technical data management skills with in-depth knowledge of Pharma data standards and regulations.
• Aware of industry trends and priorities and can apply to governance and policies.

• Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy.

Good-to-Have Skills:

• Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively.
• Ability to manage projects or departmental budgets.
• Experience with modelling tools (e. g. , Visio).
• Basic programming skills, experience in data visualization and data modeling tools.
• Experience working with agile development methodologies such as Scaled Agile.

Soft Skills:

• Ability to build business relationships and understand end-to-end data use and needs.
• Excellent interpersonal skills (team player). People management skills either in matrix or direct line function.
• 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
• Good presentation and public speaking skills.
• Strong attention to detail, quality, time management and customer focus.

Basic Qualifications:

• Master s degree with 8 - 10 years of experience in Business, Engineering, IT or related field OR
• Bachelor s degree with 8 - 12 years of experience in Business, Engineering, IT or related field OR
• Diploma with 14 - 16 years of experience in Business, Engineering, IT or related field

EQUAL OPPORTUNITY STATEMENT

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation.

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GCF Level

GCF Level 05A

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