Supply Chain Data Analyst

Job Title: Supply Chain Data Analyst

Career Level - C2

Introduction to Role:
Are you passionate about data and its potential to drive decision-making in a global supply chainWe are seeking a Supply Chain Data Analyst to join our Operations team. This role offers the opportunity to work with complex data sets, use digital tools like SQL or Python for data manipulation, and create visualizations that positively impact business processes. You will also have the chance to utilize automation tools such as Power Automate and RPA to enhance efficiency.

Accountabilities:
As a Supply Chain Data Analyst, you will be expected to have a good understanding of various aspects of supply chain analytics. Your role will involve diving deep into specific areas to meet project needs, analyzing data, developing recommendations, and coordinating activities for the success of different initiatives. You will also be responsible for enhancing communication capabilities, managing collaborators, influencing stakeholders, and developing strong technical knowledge in supply chain management and logistics.

Essential Skills/Experience:
- 4-6 years of hands-on experience in Analytics and Business Intelligence, with a focus on Logistics and supply chain
- Proficiency in building dashboards, preferably utilizing Power BI or Qlikview
- Proficiency in process automation and app development using No/Low Code platforms, with a preference for Power Automate and Power App
- Proficiency in storytelling with data, utilizing digital tools /Key programming fundamentals in Python, Spark, SQL, or similar languages
- Experience working in an SAP environment
- Ability to consistently meet demanding deadlines
- Skilled in effectively collaborating with diverse stakeholders across teams, regions, and disciplines to harness their valuable insights
- Demonstrated adaptability and effectiveness in managing ambiguity and change within an Agile environment

- Professional certifications in widely utilized BI tools
- Familiarity with key metrics and KPIs of Supply chain processes such as Demand planning, Supply planning, etc.
- Academic or professional background in Supply chain management
- Certifications or exposure to process improvement methodologies like Lean/Six Sigma, etc.
- Proficiency in storytelling with data, utilizing digital tools like SQL or Python to manipulate and visualize data

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. Thats why we work, on average, a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we are committed to pushing the boundaries of whats possible. We are driven by the challenge of staying ahead in rapidly changing markets and continuously seek new and better ways to deliver medicines all the way to our patients. Our resilience helps us thrive as we innovate and evolve. We foster an encouraging, positive environment where ideas are welcomed and rewarded. If you are self-driven, thrive at pace, continuously learning and proactively taking on more, then this is the place for you.

Ready to make a big impactJoin us at AstraZeneca and play a role in evolving Supply Chain. Apply now!

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.