Career Category
Information Systems
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:
This position is a key member of Amgen’s Global Supply Chain Analytics team, developing advanced data and AI products in
logistics
. Responsibilities include designing, building,
maintaining
, and analyzing large datasets to generate actionable business insights, as well as creating reports, supporting data governance, and ensuring data accessibility and reliability. The ideal candidate has strong technical skills, experience with big data, and
expertise
in data architecture and ETL processes.
Roles & Responsibilities:
Design, develop, and
maintain
data solutions for data generation, collection, and processing
Be a key team member that
assists
in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Contribute to the creation of metric dashboards, self-serve analytics, and business insights using Tableau or Power BI
Develop and
maintain
data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Adhere to best practices for coding, testing, and designing reusable code/component
Exploratory data analysis, understand business knowledge, do feature engineering
Support generation of annual product review documents, regulatory inspections, and process documentation
Work with data engineers on data quality assessment, data
cleansing
and data analytics
Basic Qualifications and Experience:
Master’s degree and 3 to 5 years of Computer Science,
IT
or related field
experience OR
Bachelor’s degree and 5 to 9 years of Computer Science,
IT
or related field experience OR
Diploma and 9 to 11 years of Computer Science,
IT
or related field experience
Functional Skills:
Must-Have Skills
Hands on experience with big data technologies and platforms, such as Databricks (
PySpark
,
SparkSQL
), workflow orchestration, performance tuning on big data processing
Hands on experience with various Python/R packages for EDA, feature
engineering
and machine learning model training
Proficiency
in data analysis tools (
eg.
SQL) and experience with data visualization tools
Proficiency
with data visualization platforms like Tableau, Power BI, or matplotlib/seaborn for Python
Excellent problem-solving skills and the ability to work with large, complex datasets
Good-to-Have Skills:
Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
Strong understanding of data modeling, data warehousing, and data integration concepts
Interest in GenAI/LLM technology and building data products that support natural language interfaces
Professional Certifications
:
Certified Data & Analytics professional
Soft Skills:
Excellent critical-thinking and problem-solving skills
Strong communication
and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated presentation skills
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
.
.
