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Summary: This role supports the digital transformation of Amgen Operations by leveraging advanced analytics to characterize business performance in Operations, evaluate potential opportunities, and enable step change in business performance. The role will be responsible for providing analytical support and enabling data-driven decision making that will build foundational capability to provide end -to-end visibility into business processes and build advanced analytics solutions to drive value. In addition to focusing on solving traditional and big data problems, this role will be supporting our Data Management and Governance programs, Data Architecture and Modeling, and the overall data footprint. This role will interact with a wide range of bus iness leaders to understand processes, analyze data, and present findings.
Functions:
Assist in cross functional analytics projects from beginning to end from building relationships with key business leaders to collecting and analyzing data, as well as summarize and present key insights in support of decision making to help evaluate strategic options that support data and analytics transformation.
Use analytics tools and scientific rigor to produce actionable insights.
Assist in the development of a wide range of innovative data and analytics solutions, from descriptive to machine learning based (including real-time visualization tools that leverage Big Data platforms with real-time data ingestion and processing).
Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize analytics solutions across Operations Partner with business to share data best practices and support business / IS led implementation.
Assist in developing business cases and strategic recommendations Interact with various finance groups including functional FP and A to understand impact to budget/long range plans.
Provide support in developing executive communications and present analysis and insights to company senior leadership.
Perform ad hoc analysis and support special projects.
Preferred Qualifications:
Masters degree in Science or Engineering OR Bachelors degree in Science and Engineering and 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
Masters degree in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field and 1 year of relevant experience in developing advanced analytics algorithms and analyzing data specifically in Operations (BioPharma Operations a plus).
Understanding of / experience in Operations, including Supply Chain, Manufacturing, Engineering, etc.
Statistical or mathematical modeling experience.
Ability to work with unstructured data sets and harmonize complex Operations data.
Familiarity with common Operations systems, such as SAP, Rapid Response, MES, LIMS, etc.
Familiarity with advanced analytics tool sets, such as R, Python, SQL, Alteryx, etc.
Experience processing, filtering, and presenting large quantities of data stored in data warehouse or data lake repositories and data extracted directly from the source systems.
Experience with data visualization tools or packages, such as Tableau or Spotfire.
Experience working on a cloud platform (e.g., AWS, Azure, etc.) is a plus.
Familiarity using Dev Ops technologies Ability to communicate and collaborate cross-functionally in an organization Energetic, detailed oriented Proven ability to work effectively in ambiguous situations.
Ability to manage multiple projects concurrently.
Be available to support non-standard shift when activities are required.
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.The pay rate for this position is $33.78/hr.