Jobbet "Student worker in Business Intelligence Department" er udløbet.
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We seek a technical minded person that has a good understanding of data structures, especially including knowledge of (SQL) databases, data modeling, reporting and visualizing data in PowerBI.

Key Responsibilities:

  • Building and maintaining Power BI data models and datasets/data pipelines in our SQL Server Data warehouse.
  • Doing analysis based on Microsoft SQL Server databases and Microsoft Analysis Services cubes and tabular. Technologies include: DW, SSIS, SSRS, OLAP.
  • Collecting data from multiple sources and creating actionable results from them for end users, management and up to top management.
  • Creating ad-hoc or standardized reports using Microsoft Excel, Report Builder or Power BI and communicating the results effectively with the appropriate visualizations.
  • Assisting with Data Warehouse Migration to Azure.
  • Helping users to make sense of the data by discovering business insights from the relevant results.
  • Supporting business users from around the world or other fellow business intelligence analysts with issues, access requests and/or questions.

Who are you?
We imagine that:

  • You have good knowledge and experience working with SQL language and databases in general.
  • You have experience with Power BI or other BI tools and want to bring your knowledge to the next level with being a PowerBI administrator.
  • You are comfortable analyzing data with Microsoft Excel (filters, pivot tables, lookup formulas).
  • You are an independent, motivated learner and a collaborative team player.
  • You can make up from any gap in your knowledge rapidly by investigating, learning and asking more experienced colleagues (often other students).
  • You keep an eye on the latest releases and are excited about implementing new features.
  • As we are interested in a longer commitment, we encourage especially students in their bachelor or latest in their first Master semester to apply for the job
  • You are expected to work at least 15 hours per week.

You should also have a passion for visualization, usability and user interface as they all play an important role in delivering high quality, meaningful and usable reports used by hundreds of users worldwide.

How is your new team/area of business?
Our Data Analytics department in After Sales, located in the Copenhagen headquarter represents an innovative center of business intelligence. It supplies the global organization with crucial information, applications and analytical data, all to which help steer, run and develop the unique “machine” that is the MAN Energy Solutions business.

Who are MAN Energy Solutions?
With headquarter in Germany, MAN Energy Solutions employs around 15,000 people worldwide. Of these, we are approx. 2,200 passionate employees in Denmark in three locations: Copenhagen, Frederikshavn and Holeby. With more than 250 years of experience in advanced engineering, we deliver a unique portfolio of technologies and opportunities in the development of engines for use on ships and in power plants across the globe. MAN Energy Solutions works on the motto "Future in The Making", because we make a virtue out of creating sustainable solutions and contribute to a carbon neutral economy.

What can MAN Energy Solutions offer you?
MAN Energy Solutions offers a competitive salary package and pension scheme. In addition, we have a number of other employee benefits, which among other things includes:

  • Health insurance, access to physiotherapy etc.
  • Wealth of employee clubs and associations covering everything from sports to art.
  • Great flexibility.
  • Free parking.

How do you apply?
If you think the job sounds interesting, we would love to hear from you! Apply for the job through our homepage by clicking on “Apply for position” and attach CV, application letter and other relevant documents. The application deadline is Sunday 31th of July 2022.. We will conduct interviews during the application period. If you have any questions, you are welcome to contact Henrik Bruun, Manager, Customer Intelligence & Digitalization by phone on +45 20 14 72 09.

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