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Data Analyst/Engineer
Job description
We are wizards who turn data into knowledge. We execute E2E projects in team and work as consultants for various clients (and sectors) – partly on-site/partly from home – to assist them with Microsoft data solutions. Our credo is to empower every professional to make the best data-driven decision. Transforming data into usable knowledge is something you have right at your fingertips.
Our credo is to empower every professional to make the best data-driven decision.
Transforming data into usable knowledge is something you have right at your fingertips. You will work on the ETL or ELT process, data integration & modelling, data warehousing and reporting and visualisation in Power BI. Whether that currently involves MS data services on-premises or in Azure, or a combination of both.
But don’t worry.
The roles within assignments and their complexity will be tailored to you: sufficiently challenging for learning and not over your head. If you demonstrate a keenness to learn, independence and initiative, you will be absolutely fine. Don’t forget that you have a team of helpful Koherians standing behind you who will be happy to help you and facilitate your development.
Project-based or long-term assignments, all options are on the table. Depending on the assignment, you may be working on your own or in a team, taking care of the project management yourself or not. Participating in pre-sales is also a possibility. The trump cards of this job are variety and continuous learning through experience.
Profile
Power BI
Azure
ETL
Data Integration
Data Warehousing
Offer
Team
A strong team of technical and less technical colleagues are ready and waiting to help you wherever necessary.
Latest technologies
At Kohera we keep up with the latest technologies in data. So you can do that too!
Azure and Fabric!
Would you too like to get on board the Azure and Fabric train? You can do that at Kohera, with pleasure!
All the benefits
Kohera is a small company but it is part of the Cronos Group.
Flexibility
On payroll basis preferably.
Extras
A great remuneration package (mix of remote & on-site, flexible hours, reimbursement for meals and expenses, 31 days’ holiday, car, reimbursement for phone and internet, insurance).
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