Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.

Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

Let’s do this. Let’s change the world. In this vital role you will act as a member of the Cybersecurity and Digital Trust (CDT) Security Automation, AI, and Analytics (SA3) team responsible for developing, administering, and enhancing Amgen’s cybersecurity metrics and analytics platform which collocates Cybersecurity and Digital Trust (CDT) data in a data warehouse on the Enterprise Data Lake (EDL) and structures it in a central repository in preparation for strategic, operational, and tactical reporting for CDT’s internal and external stakeholders. The Associate Data Analyst will assist in the on-going development and enhancement of reporting dashboards for CDT’s Security Metrics & Analytics program and will support the Security Automation, AI, and Analytics (SA3) manager in monthly reporting processes. Additionally, the Associate Data Analyst will apply their knowledge of data analytics and artificial intelligence (AI) to enhance cybersecurity operations and enhance CDT AI platform. The Associate Data Analyst will support the development, implementation, and ongoing optimization of AI-driven solutions to protect our organization from security threats.

This role will require collaboration with the development team, service owners, system owners, and cross-functional leadership in various time zones.

Responsibilities:

• Support on-going Cybersecurity and Digital Trust (CDT) metric reporting processes
• Develop unified dashboards displaying strategic, operational, and tactical level views of various metrics using analytics tools such as Tableau, Spotfire, R, etc.
• Contribute to the design and development for on-demand reporting solutions to support key stakeholders.
• Assist with data discovery for enhancing reports and designing efficient data stores.
• Maintain awareness of the changing analytics environment by partnering with Amgen’s Analytics team and industry (e.g., AI, machine learning, etc.)
• Assist in the creation of predictive models and algorithms using AI/ML technologies to detect anomalous behaviors and potential threats.
• Maintain the program’s vision and ensure interoperability cost effective and authorized technologies (e.g., cloud environments)
• Collaborate cross-functionally with analysts, engineers, data scientists to identify & prioritize requirements, brainstorm solutions, and clarify business objectives for data centric solutions in order to achieve continuous improvement in cyber defense/resilience.
• Work with metric owners to provide clear documentation for metrics and processes, integrating documentation with the appropriate stakeholders.
• Develop, implement, and sustain operational scripts, data structures, libraries and programming code that optimize security in emergent compute patterns with diverse applications throughout the global environment.
• Analyze, design, develop and operate programs, shell scripts, tests, and infrastructure automation capabilities in an advanced security context.
• Self-starter with a high degree of initiative
• Must have strong communication and organizational skills and customer service focus
• Must be highly motivated and able to work effectively under minimal supervision

What We Expect Of You

We are all different, yet we all use our unique contributions to serve patients. The analytics professional we seek will have these qualifications.

Basic Qualifications:

Bachelor’s degree

OR

Associate’s degree and 4 years of Data Science / Data Science Engineering / Product Engineering experience

Or

High school diploma / GED and 6 years of Data Science / Data Science Engineering / Product Engineering experience

Preferred Qualifications:

• Working experience with data analytic tools (e.g., Tableau, PowerBI, Splunk, Spotfire, Hadoop)
• Experience working in Agile and/or DevOps teams (SCRUM)
• Exceptional teaming skills encompassing cross-functional teams, peer relationships, informing, understanding and appreciating differences
• Familiarity with various application technology stacks (BI stacks) and technology domains (Data Analytics)
• Strong ability to convey and influence complex information security risks and issues in a manner that is easily understood and actionable
• Effective communication with senior leadership and medium to large audience discussions / presentations
• Familiarity with artificial intelligence (AI) and machine learning (ML) concepts, including experience with common AI tools and frameworks
• Clear understanding of Relational and Dimensional database modeling
• Experience with Big Data, Advanced Analytic techniques and Real Time data
• Proven experience as a member and leader of a high performing team
• Experience applying change management methodologies in large / global corporate environments involving multiple businesses
• Proven adherence to SOPs, methodologies, and policies to include security policies
• Demonstrated ability to adopt new cloud technologies and other paradigms such as emerging Big Data technologies (Hadoop, hive, etc.)
• Skilled programmer with sufficient experience in high level programming languages such as C++, C#, Java, Python, Visual Basic
• Experience programming in compiled (C, C++) and interpreted languages (Python, Ruby etc.).
• DevOps experience building and deploying infrastructure with cloud deployment, build and test automation technologies like ansible, chef, puppet, docker, Jenkins, etc.

One or more of the following certifications in data visualization tools, AI/ML or cybersecurity, including but not limited to:

• Certified Information Security Manager (CISM)
• CompTIA Security+
• Certified Information Systems Security Professional (CISSP)
• SANS Global Information Assurance Certifications (GIAC)