We’re looking for
Hans Stahles väg 7, Stockholm, Stockholms län, Sweden, 147 80
Full time
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
This role is a temporary replacement during a 12-month parental leave period. As a Business Intelligence Analyst within the BU WWF (Business Unit Water, Wind & Fuel solutions) Business Analytics team, you will play a crucial role in driving our data-driven sales strategy. You will support our central BU organization and our sales companies in leveraging data to create valuable business insights and BI tools. This involves actively applying methods from various areas of business intelligence, such as data sourcing, data modelling, data mining and data visualization, combined with strong business acumen.
What we are looking for
We are seeking a communicative and notable problem-solving individual who can help us elevate our data-driven sales journey. You should be structured, efficient, independent, and analytical. You are results-driven and not afraid to take initiatives or challenge existing ways of working
Key responsibilities
Automate and improve internal processes using business intelligence.
Develop and maintain multiple Power BI tools/applications.
Manage the internal BI landscape and BI governance structure.
Perform ad hoc data analytics.
Monitor utilization and enhance the efficiency of our BI tools’ portfolio.
Review data quality.
Collaborate with VS/IT for debugging, database development, maintenance and ensuring high quality of our various data sources.
Requirements
To succeed in this role, we believe below experience and skills are critical:
Strong ability to translate business requirements into technical specifications and solutions.
Proven experience of 1-3 years in Power BI (incl. Power Query and DAX), ETL, data modelling, RLS, and data visualization.
Engineering degree (or equivalent) within relevant area such as computer science, industrial engineering, mechanical engineering or similar.
Strong communication skills in English, both written and verbally.
Beneficial:
Experience in SQL, Databricks and Azure Analytics
Knowledge in Capital Sales business, Aftermarket business, and/or Marine business
Strong communication skills in Swedish and/or another language, both written and verbally
We look forward to receiving your application and welcoming you to our extensive global network. Join our diverse organization, known for its highly appreciated, familiar, and collaborative working environment that supports work-life balance and empowers people.
For more information, please contact
Elina Lundberg, Business Analytics Manager, elina.lundberg@alfalaval.com
Regina García Moguel, Talent Acquisition Partner, regina.garciamoguel@alfalaval.com
Union information
Anders Jansson, Unionen, Anders.Jansson@alfalaval.com
Axel Scharing, Akademikerna, Axel.Scharing@alfalaval.com
We review applications on a rolling basis, so we encourage you to submit yours by August 31st, 2025, at the latest. Please be aware that the application process may close earlier if we identify suitable candidates, so don’t delay in applying.
Please note that, in compliance with GDPR, we cannot accept applications submitted via email.
#LI-DNI
即刻加入阿法拉伐人才社区!
感谢您加入我们的人才社区!
点击“我接受”,即表示您同意在您的设备上存储 cookie,以增强网站导航、分析网站使用情况并协助我们的营销工作。 阿法拉伐 Cookie 政策
这些 cookie 是网站运行所必需的,无法在我们的系统中关闭。它们通常仅在响应您所做的相当于服务请求的操作时设置,例如设置您的隐私偏好、登录或填写表格。您可以将浏览器设置为阻止或提醒您有关这些 cookie 的信息,但网站的某些部分将无法运行。这些 cookie 不存储任何个人身份信息。
这些 cookie 使我们能够计算访问量和流量来源,以便我们衡量和改进我们网站的性能。它们帮助我们了解哪些页面最受欢迎和最不受欢迎,并了解访问者如何在网站上移动。这些 cookie 收集的所有信息都是汇总的,因此是匿名的。如果您不允许这些 cookie,我们将不知道您何时访问了我们的网站,也无法监控其性能。