We are seeking a highly motivated and detail-oriented Analytics Trainee to join our data team and gain hands-on experience working with Microsoft FabricMicrosofts end-to-end data analytics platform. This is an excellent opportunity for aspiring data professionals to learn modern data engineering data science and business intelligence techniques in a real-world enterprise environment.
Your key tasks
- Assist in setting up and maintaining data pipelines using Microsoft Fabric (including Data Factory and Dataflows).
- Support data modeling transformation and analysis using tools such as Power BI Data Lake and Synapse Data Warehouse within Fabric.
- Work with large datasets from multiple sources to ensure data quality consistency and reliability.
- Collaborate with cross-functional teams to gather data requirements and deliver actionable insights.
- Help build interactive dashboards and reports to support decision-making.
- Participate in the design and execution of data validation and testing protocols.
- Stay updated on new features and best practices within Microsoft Fabric and the broader Microsoft data ecosystem.
Qualifications :
- Recent graduate or final-year student pursuing a degree in Data Science Computer Science Statistics Information Systems or a related field.
- Strong interest in data analytics business intelligence and cloud technologies.
- Basic knowledge of SQL and data querying.
- Familiarity with Microsoft Excel and Power BI.
- Understanding of data concepts such as ETL data warehousing and data visualization.
- Excellent problem-solving and communication skills.
- Eagerness to learn and work in a fast-paced collaborative environment.
It would be a real bonus if you have
- Exposure to Microsoft Fabric components (e.g. Synapse OneLake Power BI).
- Experience with Azure services or cloud computing.
- Python or DAX scripting knowledge.
- Git or version control basics.
What We Offer
- Hands-on training with the latest tools in the Microsoft data stack.
- Mentorship from experienced data professionals.
- Opportunity to work on real-world analytics projects.
- Potential for full-time employment based on performance.
- Flexible working hours and a supportive learning environment.
Additional Information :
In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.
We hire compensate and promote regardless of origin age gender identity sexual orientation or any other fantastic traits that make us all unique we have done our best to write this advert in an inclusive and neutral way.
Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies and any unsolicited candidate submissions will be exempt from any payment expectations.
#LI-Hybrid
Remote Work :
No
Employment Type :
Part-time