Global Supply Chain Business Analytics 100% (m/f/d)

Arcera is a global life sciences company headquartered in Abu Dhabi, United Arab Emirates. Our purpose is to enable longer and healthier lives while creating sustainable growth. We develop, manufacture, and commercialize a broad range of high-quality innovative and proven medicines in key international markets. With an operational footprint spanning over 90 countries across four continents, and manufacturing sites in eight countries, we offer more than 2,000 medicines across various therapeutic areas worldwide.

The Global Supply Chain Business Analytics role is responsible for delivering actionable insights, data-driven recommendations, and advanced analytics to support strategic and operational decision-making across the global supply chain organization. This role will partner with cross-functional teams across planning, procurement, manufacturing, logistics, and external operations to establish a best-in-class analytics capability that drives performance, efficiency, and transformation.

Key Responsibilities

1.Analytics & Insights Development

• Design and develop advanced analytics models and dashboards to support forecasting, capacity planning, inventory management, and cost optimization.
• Translate complex data sets into compelling narratives, visualizations, and insights for executive decision-making.
• Drive end-to-end supply chain visibility through data integration and harmonization across systems and regions.

2. Performance Management & KPI Reporting

• Define, maintain, and evolve supply chain KPIs in collaboration with functional leads.
• Enable real-time performance tracking through digital dashboards and scorecards.
• Conduct root cause analysis on performance deviations and support corrective action planning

3. Decision Support & Scenario Modeling

• Support strategic initiatives with quantitative models (e.g., network optimization, make-vs-buy, working capital optimization).
• Build simulation tools and what-if analysis to evaluate the impact of supply chain decisions under various scenarios.
• Provide data-based inputs for executive reviews, business planning, and transformation programs.

4. Data Governance & Tools Enablement

• Partner with IT and Digital teams to enhance data quality, architecture, and analytics tools.
• Support the deployment of advanced analytics platforms (e.g., Power BI, Tableau, SAP Analytics Cloud, Python-based models).
• Serve as a business owner for analytics capability building and digital transformation.

5. Stakeholder Engagement

• Act as a trusted advisor to global and regional supply chain leaders.
• Collaborate with Finance, Commercial, and Digital teams to align analytics with enterprise goals.
• Drive a data-driven culture across the supply chain organization through training, coaching, and best practice sharing.

Key Competencies

• End-to-End Global Network Transformation & Optimization: Proven expertise in designing and leading the transformation of fully integrated global networks, encompassing manufacturing, quality, supply chain, digital, and B2B operations. Adept at driving network optimization through data-driven decision-making, advanced digital technologies, and strategic partnerships. Skilled in fostering a transformation mindset, enhancing agility, and aligning regional and global operations to improve efficiency, resilience, and business performance.
• Excellent communication and storytelling skills to influence senior leadership.
• Strategic thinker with strong business acumen and attention to detail.

Qualifications & Experience

• Bachelor’s or Master’s degree in Supply Chain, Engineering, Business Analytics, Data Science, or a related field.
• 7+ years of experience in supply chain analytics, operations research, or business intelligence, preferably in a global or matrix organization.
• Strong technical skills in SQL, Python/R, Power BI/Tableau, and ERP/SAP systems.
• Proven experience in applying analytics to solve real-world supply chain problems.
• Experience in the pharmaceutical, life sciences, or FMCG industry.
• Exposure to S&OP, demand planning, procurement analytics, or external manufacturing operations.
• Lean Six Sigma certification or training in statistical modeling / machine learning is a plus.

In connection with your application, Arcera will collect, process and store personal data about you. Our Privacy Notice for Prospective Employees, also available in German, provides an overview of the personal data that Arcera processes during the application process.

Note: This Privacy Notice may be updated by Arcera, we therefore invite you to consult the latest versions via the above links. In the event of any conflict between the English and German versions of this Privacy Notice, the English version shall prevail.