We’re looking for
Rudeboksvägen, Lund, Skåne län, Sweden, 226 55
Full time
Business Analyst, GPHE Digital Services ( Maternity Cover)
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 role
At GPHE Digital Service, our mission is to drive innovation and empower the Energy Division at Alfa Laval by enabling cutting-edge digital solutions that boost service sales and streamline service execution. We work hand-in-hand with Alfa Laval’s IT organization, serving as the crucial bridge between technology and business. If you’re passionate about shaping the digital future of service and making a real impact, we’d love to have you on our team!
As a Business Analyst in the GPHE Digital Service team, you will support the business in making informed, data-driven decisions. Your responsibilities include analyzing data, identifying trends, and presenting actionable insights to stakeholders. By translating complex information into clear recommendations, you will contribute to the development of effective digital solutions for the Business Unit GPHE at Alfa Laval.
Key responsibilities
Turning business needs into clear technical requirements for development.
Creating and maintaining a list of practical ways analytics can support business goals.
Analyzing data, building reports or ad hoc analyses (using Power BI), and tracking how analytics tools are used.
Combining information from different data sources on Alfa Laval’s global data platform to show how data can be used to build new capabilities, establish new ways of working and support business growth.
Working with business experts to identify and fix data quality issues and making improvements together with different teams.
Using data to find service sales leads and opportunities and improving how marketing automations are run at Alfa Laval.
Sharing knowledge and collaborating with analytics teams in other parts of the company.
Design and deliver training to colleagues across marketing & sales organizations.
What you know
You have been working on data analysis and visualization (preferably Power BI). You also need basic understanding of data infrastructure e.g. table structures and databases like SQL and can contribute to discussions around how to extract and connect data. You have basic project management skills and have experience of designing and delivering training courses in an engaging way. Some experience from a data-driven commercial role in marketing and sales is considered a plus. You have a graduate degree in business administration, information technology, engineering or equivalent. Fluent written and spoken English is a requirement.
Who you are
You genuinely care about your stakeholders and always strive to deliver insights that make a real difference. You’re organized, quality-driven, and approach every challenge with a can-do mindset. You’re passionate about the power of data to drive digital transformation, and you thrive on connecting the big picture with details to ensure priorities are met. Integrity is at the core of who you are, and you value building a positive, collaborative team spirit. This enables you to form strong, trusting relationships across the organization, helping you drive meaningful changes in a complex, matrix environment. You feel right at home working with large datasets and intricate system landscapes, and you enjoy leveraging your data expertise to create impactful solutions.
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.
For more information, please contact:
Linda Askvid, Senior Project Manager, Linda.Askvid@alfalaval.com
Tanja Sukaj, Talent Acquisition Partner, tanja.sukaj@alfalaval.com
For union information, please contact:
Monica Anderberg, Unionen, at Monica.Anderberg@alfalaval.com
Johan Ranhög, Akademikerna at Johan.Ranhög@alfalaval.com
Stefan Sandell, Ledarna at Stefan.Sandell@alfalaval.com
We review applications continually, so please send yours no later than 25th of March 2026. If the right candidate appears, the ad will be closed earlier. Applications sent directly via email will be disregarded without notice due to General Data Protection Regulation (GDPR)
© 2015-2026, Alfa Laval
Klikając „Akceptuję”, wyrażasz zgodę na przechowywanie plików cookie na swoim urządzeniu w celu usprawnienia nawigacji w witrynie, analizy korzystania z witryny oraz pomocy w naszych działaniach marketingowych. Zasady Alfa Laval dotyczące plików cookie
Te pliki cookie są niezbędne do działania witryny i nie można ich wyłączyć w naszych systemach. Zazwyczaj są one ustawiane wyłącznie w odpowiedzi na podejmowane przez Ciebie działania, które są równoznaczne z żądaniem usług, takich jak ustawienie preferencji dotyczących prywatności, logowanie lub wypełnianie formularzy. Możesz ustawić swoją przeglądarkę tak, aby blokowała lub ostrzegała o tych plikach cookie, ale niektóre części witryny nie będą wówczas działać. Te pliki cookie nie przechowują żadnych danych osobowych.
Te pliki cookie umożliwiają nam zliczanie odwiedzin i źródeł ruchu, dzięki czemu możemy mierzyć i poprawiać wydajność naszej witryny. Pomagają nam dowiedzieć się, które strony są najbardziej i najmniej popularne oraz zobaczyć, jak odwiedzający poruszają się po witrynie. Wszystkie informacje gromadzone przez te pliki cookie są agregowane, a zatem anonimowe. Jeśli nie zezwolisz na te pliki cookie, nie będziemy wiedzieć, kiedy odwiedziłeś naszą witrynę i nie będziemy mogli monitorować jej działania.