4 days ago

Associate Director, Data Insights Procurement

AstraZeneca

On Site
Full Time
£120,000
Lisboa, Lisbon, Portugal

Job Overview

Job TitleAssociate Director, Data Insights Procurement
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary£120,000
LocationLisboa, Lisbon, Portugal

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Job Description

About the Role

Are you ready to turn complex data into decisions that elevate performance and ultimately help patients? Do you enjoy translating business problems into analytics solutions across a global network?

In this role, you will shape how data informs strategy and execution across our procurement landscape. You will join a forward-looking team accelerating the shift from operational work to a dynamic mix of strategy, insights, and delivery—optimising partnerships across the value chain so our science reaches patients reliably and efficiently.

Working at the intersection of analytics and business impact, you will build the models, dashboards, and external data intelligence that illuminate performance, unlock savings, and drive resilience. Your work will help colleagues act faster, negotiate smarter, and continuously improve outcomes where it matters most.

Accountabilities

  • Business Partner with Procurement Category Leadership teams: Collaborate closely with procurement leadership to integrate data insights into strategic decision-making.
  • Insight Collaboration: Partner across the insights team to pinpoint competitive, actionable insights spanning regions and categories, ensuring decisions are grounded in robust evidence.
  • Procurement Analytics Enablement: Partner with category teams to deliver analytics for complex RFPs, provide data-driven negotiation preparation, and design scalable, sustainable cost models that accelerate value.
  • Diagnostic and Predictive Modeling: Design, develop, and implement diagnostic and predictive data models, including validation checks, transformation and harmonization, and creation of views that expose the right signals to the right stakeholders.
  • Performance Enablement: Co-create and test analytics models with functional partners to increase visibility, benchmark performance, and enable continuous improvement across sourcing, supplier management, and risk.
  • External Data and Scouting: Leverage external datasets to surface new insights for the organization and proactively scout novel sources that deliver measurable business impact.
  • Visualization and Real-Time Performance: Build dashboards that allow interrogation and manipulation of data, enabling real-time monitoring and course correction.
  • Information Stewardship: Ensure the utilization and value realization of information resources and services, promoting standards, adoption, and trusted data across the enterprise.

Essential Skills/Experience

  • Proven experience in analysing complex data sets to identify trends, performance, and efficiency improvements.
  • Hands-on experience in manipulating large datasets & extrapolating insights.
  • Advanced ability to draw conclusions from data and present them in a succinct fashion to stakeholders.
  • Demonstrated ability to influence senior stakeholders and drive adoption of insights across functions.
  • Experience with BI platform (preferably — Power BI).
  • Proficiency in databases and data integration techniques - SQL, ETL tools.
  • Proven experience in working with colleagues in a global environment and engaging with them to understand their analytical needs and build a pipeline of analytical requirements.
  • Strong communication, collaboration and influencing skills.
  • Meticulous attention to detail.
  • Good command of English both written and spoken.

Desirable Skills/Experience

  • Proven experience in procurement analytics or commercial analytics within a complex, global environment.
  • Strong hands-on skills in SQL and at least one programming language (e.g., Python or R), plus familiarity with cloud data platforms.
  • Experience integrating external market intelligence, benchmarks, and risk signals into models and dashboards.
  • Background in predictive modeling, forecasting, and experiment design to quantify impact and guide decisions.
  • Exposure to regulated industries or life sciences, with understanding of supply risk, compliance, and sustainability metrics.

Why AstraZeneca

Here, your analytics will translate directly into better patient outcomes and stronger business decisions. You will work with diverse thinkers in a fast-moving, enterprise-wide environment that rewards curiosity, initiative, and kindness alongside ambition—using modern data tools, real-world market intelligence, and cross-functional collaboration to transform how we source, partner, and deliver. Backed by investment and a bold vision for the future, you will gain influence across the organization, see your work in action, and grow your craft while helping life-changing medicines reach those who need them.

Key skills/competency

  • Data Analysis
  • Procurement Analytics
  • Predictive Modeling
  • Business Intelligence (Power BI)
  • SQL
  • ETL Tools
  • Stakeholder Influence
  • Global Collaboration
  • Data Visualization
  • Strategic Insights

Tags:

Associate Director, Data Insights Procurement
data analysis
insights
procurement
analytics
modeling
business partnering
visualization
strategy
performance optimization
stakeholder management
Power BI
SQL
ETL
Python
R
cloud data platforms
external data integration

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How to Get Hired at AstraZeneca

  • Research AstraZeneca's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align with company ethos.
  • Tailor your resume strategically: Highlight specific experience in complex data analysis, procurement analytics, BI platforms like Power BI, SQL, and ETL tools, directly addressing the Associate Director, Data Insights Procurement role requirements.
  • Showcase global collaboration skills: Provide examples of successful partnerships with diverse, global teams and your ability to influence senior stakeholders in a multinational environment.
  • Prepare for technical discussions: Be ready to articulate your experience in designing and implementing diagnostic and predictive data models, integrating external data, and using programming languages like Python or R.
  • Demonstrate business impact: Focus on quantifiable achievements where your data insights led to measurable improvements in procurement efficiency, cost savings, or enhanced operational resilience.

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