What you will be doing
We handle more than 50,000 ready-to-move units that fly around the world transporting medicine. These need to be managed efficiently.
You will be supporting Packaging Fleet Management (PFM) department in their daily operational work maintaining the PFM Inventory database up-to-date. You will help to manage our Inventory Management System (IMS) of our Multi-Use Packaging (MUP) Fleet ensuring data accuracy and efficiency.
You will be responsible for understanding both department needs for data analytics, reports and dashboards and available big data tables from historical activities and produce periodical and ad hoc analytical assessments, reports and dashboards to support the operations and improvement of department business. 
The Packaging Fleet Management Data Analyst works closely with the Operations,  Master Data Management (MDM) Team, BI Team, Analytic Effectiveness Team and the Packaging Fleet Management operators.

Key responsibilities for the role:

• To maintain the PFM Inventory table up-to-date and ensure that inventory data is complete and correct in other related inventory databases in other systems (MDM, TMS, X-Act, Controlant).

• Assist the network with daily inquiries doing research, investigations and providing timely responses.

• Create new as well as maintain and develop the current set of digitals solutions in close cooperation with other data teams.

• Support to create Internal Guidelines and Training Materials related to Packaging Fleet Management.

• Develop an understanding of the tables and data available at the Data Warehouse and relevant for Packaging Fleet Management functions.

• Develop ad hoc reports and analyses to support  the department and network in the ongoing projects.

• Summarize findings verbally, by email or in PowerPoint.

• Support other functions with data based insights in order to drive the needed changes and improvements of the processes.

• Produce and maintain reports and dashboards to track business and operations trends and support decision making.

# hybrid

What your background should look like :

• Bachelor's degree in fields such as business administration, Math, statistics, computer sciences, engineering or similar vocations.

• Likely to have a minimum of 2 years of directly related responsible experience in an analytical role.

• Ability to communicate effectively in English both orally and in writing

• Strong working knowledge of Microsoft Word, PowerPoint, Outlook, and Excel

• Experience of working with large datasets

• Experience with developing analytic solutions or utilizing complex data (e.g. reporting, visualization, modelling, coding) 

• Experience of relational databases (e.g. Microsoft SQL Server or Access) and data management is a must.

• Experience working with Alteryx Designer, Power BI, Smartsheet is of advantage (you will be working with these tools).

• Experience with other coding languages or BI tools is of benefit.

• Strong analytic mindset and intellectual curiosity

• Good communicator: able to explain analysis to a non-expert audience

• Strong attention to detail, with the ability to keep one eye on the wider business context.

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What Cencora offers

We offer a competitive annual bonus, life insurance from Day 1, a best-in-class health insurance package, and up to 6 fully paid benefit days a year. As a Cencora employee, you have the benefit of our referral bonus scheme, our boundless learning opportunities and our global Employee Assistance Program. We have a wonderful office location in Quadrum, equipped with everything you need for a small break at work and fresh snacks at all times. Become part of our purpose-driven, multicultural team now and help us create healthier futures

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