Manager, Transformation Analytics - Thousand Oaks, United States - Amgen

Amgen

Verified Company

Thousand Oaks, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

HOW MIGHT YOU DEFY IMAGINATION?

You've worked hard to become the professional you are today and are now ready to take the next step in your career.

How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do.

It is key to our becoming one of the world's leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.

Manager, Transformation Analytics

Live:

What you will do

The role will support the design and development of analytical capabilities to measure and improve enterprise business performance and provide insights for top priority persistent business questions.

Ultimately, this role will support data-driven decision making, building a foundational capability to provide end-to-end insight into business process performance and improvements.

This role will interact with a wide range of cross-functional business partners at all levels to understand processes, analyze data, and articulate comprehensive value delivery (cost, speed, risk, quality, etc.)

Objectives of this Role:

Support design, build and maintenance of a leadingedge capability to analyze financial and nonfinancial information across the enterprise to derive critical business insights for enterprise transformation and opportunity identification
Support the buildout of a sustainable platform for workforce transformation, which connects several domains of data to enable better decision making around our capabilities, finances and workforce
Develop and maintain financial and nonfinancial baseline for programs and initiatives, identifying trends and opportunities for transformation by analyzing complex data sets
Create a robust management reporting capability based on data mining, analysis, and visualization
Analyze data to answer key questions from senior leaders with an eye for what drives business performance, investigating and communicating opportunities of comprehensive value delivery

Responsibilities:

Work closely with business and initiative leadership to define data sources and transformation needed to develop a platform for workforce transformation
Develop an "always live" long range plan for the enterprise to allow us to quickly respond to and contextualize external and internal signals, and assess impact to the organization
Manage the development and maintenance of data models and analytical toolsets (e.g., Tableau, Anaplan, Power suite) required to deliver insights at scale
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 summarizing and presenting key insights in support of decision making
Influence transformative thinking and decisions with analytical insights and an ability to build collaborative relationships
Partner with business areas to share data standard methodologies and support implementation (where applicable)
Assist in developing business cases and strategic recommendations, perform ad hoc analyses, and support special projects
Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans
Develop executive communications and present analysis and insights to Amgen's senior leadership

Win:

What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an individual with these qualifications.

Basic Qualifications:

Doctorate degree

Or:

Master's degree and 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience

Or:

Bachelor's degree and 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience

Or:

Associates degree and 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience

Or:

High school diploma / GED and 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience

Preferred Qualifications:

Master's degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field and 4 years of relevant experience in data analytics, consulting, and/or financial planning & analysis role (MBA Preferred)
Understanding of / experience in the Bio-Pharmaceutical industry
Critical thinking: Ability to tackle complex and ambiguous problems, provide clarity of thought, and deliver results
Teamwork: Bu