Manager, Transformation Analytics

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

💵 $111.833 - $151.304 / Jahr

⏰ Vollzeit

🟢 Junior

🟡 Mittelstufe

👔 Manager

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Amgen

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1980

🏥 Gesundheitswesen

🧬 Biotechnologie

💊 Pharmazie

💰 €28.500.000.000 Post-IPO Debt im 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen ist ein weltweit führendes Unternehmen in der Biotechnologie, das sich auf die Entwicklung und Vermarktung innovativer Arzneimittel aus lebenden Zellen konzentriert. Das Unternehmen hat zum Ziel, schwere Krankheiten zu behandeln, wobei oft Krankheiten im Fokus stehen, für die es nur begrenzte therapeutische Möglichkeiten gibt. Amgen legt großen Wert auf wissenschaftliche Innovation und ist der ethischen Forschung, der Patientensicherheit und der ökologischen Nachhaltigkeit verpflichtet. Es ist aktiv in klinischen Studien engagiert und bekannt für seine Beiträge in den Bereichen Krebsbehandlung und Adipositas-Management unter anderem.

Beschreibung

• Support design, build and maintenance of a groundbreaking capability to analyze financial and non-financial 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 non-financial 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 (cost, speed, risk, quality, etc.) • Work closely with business and initiative leadership to define data sources and transformation needed to develop a platform for workforce transformation • Own and lead 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.

🎯 Anforderungen

• 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 9 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 9 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience • Proficiency in coding (R, Python, SQL) • data libraries such as Numpy and Pandas • Experience with statistical / mathematical modeling • Ability to work with structured and unstructured data sets • Experience with automating data workflows to pull, filter, modify and transform data to then analyze and visualize • Understanding of / experience in the Bio-Pharmaceutical industry.

🏖️ Vorteile

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • group medical, dental and vision coverage • life and disability insurance • flexible spending accounts • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible.