Senior Associate IS Bus Sys Analyst-Automation and Analytics

ic and day-to-day decisions for global digital workplace services.

This role is ideal for candidates with hands-on experience building predictive models and working with large operational datasets to uncover insights and deliver automation solutions. You will work alongside product owners, engineers, and service leads to deliver measurable business value using data-driven tools and techniques.

Roles and Responsibilities

• Design, develop, and maintain predictive models, decision support tools, and dashboards using Python, R, SQL, Power BI, or similar platforms.

• Partner with delivery teams to embed data science outputs into business operations, focusing on improving efficiency, reliability, and end-user experience in Digital Workplace services.

• Build and automate data pipelines for data ingestion, cleansing, transformation, and model training using structured and unstructured datasets.

• Monitor, maintain, and tune models to ensure accuracy, interpretability, and sustained business impact.

• Support efforts to operationalize ML models by working with data engineers and platform teams on integration and automation.

• Conduct data exploration, hypothesis testing, and statistical analysis to identify optimization opportunities across services like endpoint health, service desk operations, mobile technology, and collaboration platforms.

• Provide ad hoc and recurring data-driven recommendations to improve automation performance, service delivery, and capacity forecasting.

• Develop reusable components, templates, and frameworks that support analytics and automation scalability across DWX.

• Collaborate with other data scientists, analysts, and developers to implement best practices in model development and lifecycle management.

What we expect of you

We are all different, yet we all use our outstanding contributions to serve patients. The vital attribute professional we seek is with these qualifications.

Basic Qualifications:

• Master's degree / Bachelor's degree and 5 to 9 years in Data Science, Computer Science, IT, or related field

Must Have Skills

• Experience working with large-scale datasets in enterprise environments and with data visualization tools such as Power BI, Tableau, or equivalent

• Strong experience developing models in Python or R for regression, classification, clustering, forecasting, or anomaly detection

• Proficiency in SQL and working with relational and non-relational data sources

Nice-to-Have Skills

• Familiarity with ML pipelines, version control (e.g., Git), and model lifecycle tools (MLflow, SageMaker, etc.)

• Understanding of statistics, data quality, and evaluation metrics for applied machine learning

• Ability to translate operational questions into structured analysis and model design

• Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, Snowflake, or BigQuery

• Familiarity with automation tools or scripting (e.g., PowerShell, Bash, Airflow)

• Working knowledge of Agile/SAFe environments

• Exposure to ITIL practices or ITSM platforms such as ServiceNow

Soft Skills

• Analytical mindset with attention to detail and data integrity

• Strong problem-solving and critical thinking skills

• Ability to work independently and drive tasks to completion

• Strong collaboration and teamwork skills

• Adaptability in a fast-paced, evolving environment

• Clear and concise documentation habits

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 accommodation.

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