We’re looking for
Rudeboksvägen, Lund, Skåne län, Sweden, 226 55
Full time
Alfa Laval is looking for a Master Data Specialist ( Temporary Vacancy )
Every day, we get opportunities to make a positive impact – on our colleagues, partners, customers and society. Together, we’re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world-leading technologies that inspire progress in vital areas, including energy, food, water and shipping. As we push forward, the innovative, open spirit that fuels our 140-year-old start-up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too.
About the job
We are a team of Master Data Specialist and Production Planners. Plan is one of main support functions in the GCC Supply Chain. We work closely with other teams such as the Source, Deliver, Make and Warehouse departments. Briefly, Deliver gets orders from customers, Source purchases the raw materials, Plan makes the magic to deliver customer orders in the best possible date, meanwhile Make executes the plan and Warehouse helps with internal and external logistics. All functions in the supply chain focuses on customer needs and Plan is the key to make it more efficient, productive, cost conscious and environmentally friendly. MDM (Master Data Management) is a vital role in the organization to maintain data lean, structured and well defined.
Key Responsibilities
The main task for this role is to ensure the data quality as the master data responsible in our ERP system
Upload and create new articles both NPD (New Product Development) and existing range as well as maintaining of existing and LECC (Local Engineering Change Coordinator) responsibilities handling factory scope and DN
Maintaining good quality of our system parameters and the overall basic data. An important part of the work is to be responsible for standardizing our two GCC databases. Standardized data, basic data and system parameters are the backbone that sets the conditions for well-functioning physical and administrative processes as well as value flows that are fully or partly
Extracting data from the ERP system and assisting with the analysis (using Jeeves and moving to Microsoft Dynamics 365)
Based on given existing basic data KPIs, the GCC's data quality is maintained, but it is also expected that these are revised to set relevant indicators that secure our existing and future processes
GCC MDM is the factory's ERP support and the link to System Support. The role also includes an informative responsibility, for example, updates and system changes. When needed the role also includes support and training of colleagues
Ultimately become a super user of our ERP and train and support teams in the business system
Who You Are
You have an analytical mind and enjoy solving problems, coming up with new solutions regarding process improvement, flows and data. You are quality minded, engaged and enjoy team collaboration, are service minded, with an eye for detail. You empower yourself to learn and grow.
What you know
University degree within preferably Supply Chain or Data Science or equal experience within data management
Ability to read technical drawings
ERP systems experience, ideally Microsoft Dynamics 365
Production experience a plus
Supply Chain and data management experience preferred
Intermediate level Excel skills, advanced is an advantage
Strong interpersonal and networking skills and the ability to drive and support internally and cross-functionally
Understanding of change/improvement initiatives and projects with a focus on processes, flows and data
What’s in it for you
You will be working in an international environment with products that have major impact on tomorrow’s energy landscape, and you will be welcomed into a team of experienced colleagues. We offer a position where you can truly impact performance and continue to grow yourself.
Assessment practicalities
We care about diversity, inclusion, and equity in our recruitment processes. We also believe behavioral traits can provide important insights into a candidate's fit to a role. To help us achieve this we apply Pymetrics assessments, and upon application you will be invited to play the assessment games. Playing the games is mandatory.
For more information, please contact:
Liliana Li, Unit Manager GCC, liliana.li@alfalaval.com
Tanja Sukaj, Talent Acquisition Partner, tanja.sukaj@alfalaval.com
For union contact please contact
Johan Ranhög, Akademikerna, +46 46 2891664
Stefan Sandell, Ledarna, +46 46 367364
Monica Anderberg, Unionen, +46709623811
Claes Kronsell, IF Metal, +46709 787349
We are looking forward to hearing from you soon so send your application without delay, and no later than 30th of July 2025. If the right candidate appears, the ad will be closed earlier. Please note, applications sent directly via email will be disregarded without notice
Tilmeld dig Alfa Laval Talent Community nu!
Ta, fordi du tilmeldte dig vores talentfællesskab!
© 2015-2025, Alfa Laval
Ved at klikke på “Jeg accepterer” accepterer du lagring af cookies på din enhed for at forbedre webstedsnavigation, analysere webstedsbrug og hjælpe med vores markedsføringsindsats. Alfa Lavals cookiepolitik
Disse cookies er nødvendige for at hjemmesiden kan fungere og kan ikke slås fra i vores systemer. De er normalt kun indstillet som svar på handlinger foretaget af dig, som svarer til en anmodning om tjenester, såsom at angive dine privatlivspræferencer, logge på eller udfylde formularer. Du kan indstille din browser til at blokere eller advare dig om disse cookies, men nogle dele af siden vil ikke fungere. Disse cookies gemmer ingen personligt identificerbar information.
Disse cookies giver os mulighed for at tælle besøg og trafikkilder, så vi kan måle og forbedre ydeevnen af vores websted. De hjælper os med at vide, hvilke sider der er mest og mindst populære og se, hvordan besøgende bevæger sig rundt på siden. Alle oplysninger, som disse cookies indsamler, er aggregerede og derfor anonyme. Hvis du ikke tillader disse cookies, ved vi ikke, hvornår du har besøgt vores websted, og vi vil ikke være i stand til at overvåge dets ydeevne.