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 Senior Data Analyst plays a critical role in advancing cybersecurity metrics and analytics across the organization. As a member of the Security Automation, AI, and Analytics (SA3) team within Cybersecurity and Digital Trust (CDT), this role leads the design, development, and optimization of enterprise-wide security metrics and AI-enhanced analytic solutions. The Senior Data Analyst is responsible for enabling accurate, timely, and actionable reporting for both internal and external stakeholders. In partnership with cybersecurity leaders, the Senior Data Analyst identifies and implements automation opportunities, develops advanced dashboards to strengthen the organization's ability to detect threats, reduce risk, and improve operational efficiency.

Roles & Responsibilities:

Support Cybersecurity and Digital Trust (CDT) metric reporting processes, ensuring accuracy and stakeholder alignment
Architect and deliver advanced dashboards that integrate strategic, operational, and tactical cybersecurity metrics using tools such as Tableau, Power BI, Spotfire, and R
Drive the design and implementation of on-demand reporting solutions that support high-impact decision-making across business and technical teams
Guide data discovery initiatives to identify reporting enhancements and develop scalable, optimized data storage solutions
Serve as a liaison with Amgen's Security Metrics and Analytics team and stakeholders to evaluate and incorporate emerging technologies, including AI and machine learning
Align data and analytics initiatives with the program's strategic vision, ensuring adoption of interoperable, cost-effective, and authorized technologies such as cloud platform
Collaborate with cross-functional teams including data analysts, data engineers, and data scientists to define requirements, translate business needs, and enhance cyber defense capabilities
Establish and maintain comprehensive documentation of metrics, data workflows, and reporting processes, ensuring knowledge transfer and audit readiness
Develop and maintain robust operational scripts, reusable code libraries, and data structures that strengthen security across complex, global computing environments
Engineer and operate automation scripts, test environments, and infrastructure-as-code solutions in support of advanced security objectives
Operate with initiative, effectively managing priorities in a dynamic environment with minimal oversight
Demonstrate strong leadership in communication, organization, and stakeholder engagement with a customer-focused mindset

Functional Skills:

Basic Qualifications:

Master's degree OR Bachelor's degree and 5 to 9 years of experience with one or more analytic visualization tools or languages (e.g., Tableau, Power BI, etc.)

Preferred Qualifications:

Hands-on experience with data analytics platforms and tools such as Tableau, Power BI, etc.
Proven ability to influence decision-making by clearly communicating complex security risks and data insights to both technical and non-technical stakeholders.
Effective communicator with experience presenting to senior leadership and facilitating discussions with medium to large audiences.
Clear understanding of relational and dimensional database modeling with the ability to design and support scalable data structures.

Good-to-Have Skills:

Experience with Databricks.
Strong programming skills in both compiled (e.g., C, C++) and interpreted languages (e.g., Python, Ruby), with practical experience in high-level languages such as Java, C#, and Visual Basic.
Proficient in AI/ML concepts and tools, with a foundational understanding of algorithms and frameworks used for advanced analytics and anomaly detection.
Demonstrated success working within Agile and DevOps teams, with practical experience in SCRUM practices and collaborative, iterative delivery.
Skilled in DevOps and infrastructure automation using tools such as Ansible, Chef, Puppet, Docker, and Jenkins to build, test, and deploy cloud-based environments.
Familiar with BI technology stacks and data analytics domains, with the ability to adapt to evolving enterprise architectures.
Experienced in applying change management methodologies across complex, global environments involving multiple business units.
Demonstrated adaptability and continuous learning in adopting new technologies, particularly in the areas of cloud, analytics, and cybersecurity.

Professional Certifications:

CompTIA Security+ (preferred)
Tool or Platform specific certification i.e., Tableau, SAS, Qlik, AWS (preferred)
Any SAFe Agile certification (preferred)

Soft Skills:

Initiative to explore alternate technology and approaches to solving problems.
Skilled in breaking down problems, documenting problem statements, and estimating efforts.
Excellent analytical and troubleshooting 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

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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 an accommodation.

Sr Associate Data Analytics

Sr Associate Data Analytics