Data Analyst/Engineer

What does working as a Microsoft Data Analyst/Engineer involve at Kohera?

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.

Your role as a Data Analyt/Engineer

Within this role, you will also contribute to data modelling activities in Power BI environments or data warehouses, translating business requirements into structured data models and validating them with stakeholders.

Managing and customising the ETL or ELT process (Extract, transform, load)

Setting up and customising data integrations and data modelling (SSIS , SSAS, SSRS)

You will be using Microsoft data services on-premise or in Azure, or a combination of both.

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.

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.

Experience and Technical skills

3-6y experience in a data analyst or engineer role

Power BI is essential

Azure Datalake Services

Thorough knowledge of T-SQL and of developing ETL flows with Azure components or on-premise tools (ADF / SSIS/…)

Good basic understanding of general data warehousing and modelling principles (Kimball)

Azure data factory (nice to have)

Fabric (nice to have)

Azure Synapse Analytics (nice to have)

Python (nice to have)

Databricks (nice to have)

Languages

Fluency in Dutch and English is a must, and fluency in French would be a bonus.

Are you our next Data Wizard? Don't hesitate and apply!