Splunk Data Analyst

Making a difference and driving positive change is what we do every day at Rapid Circle. Our Cloud Pioneers help our clients in their digital transformation. Are you someone who goes for constant, positive change Then this vacancy is for you!

As a Cloud Pioneer at Rapid Circle, you will work with our customers on different projects. For example, making impact in the healthcare sector, by making research data safely available. But also, awesome projects in the manufacturing or energy market make this job very challenging.

At Rapid Circle, we are curious and are constantly improving our expertise to help customers find their way in a rapidly changing world. We share our knowledge and discover new ways to learn.

Rapid Circle is growing rapidly and are therefore looking for the right person for the role. You will be given lots of freedom to develop personally. We also have a lot of in-house knowledge (MVPs) within the Netherlands, Australia, and India. By working closely with your (international) colleagues, you can continue to challenge yourself and create your own growth path. Freedom, entrepreneurship, and development are key at Rapid Circle, so also in the role of a Data Analyst.

If you recognize yourself in this, then you might just become our Splunk Data Analyst.

Experience - 3-5yrs

Job Description :

Bachelor's or master's degree in computer science, Information Technology, or a related field (or equivalent experience)

At least 3-5 years of experience as an Analytics Engineer or similar role

Proficiency in writing Splunk code for data retrieval and manipulation

Familiarity with Microsoft Power Platforms, CoPilot, and Microsoft Azure Open AI is a plus.

Ability to work effectively within a cross-functional international team and collaborate with technical and non-technical stakeholders.

Demonstrated interest in staying up to date with the latest trends, tools, and best practices in the data & analytics field.

Adaptability to a fast-paced, iterative development environment

The following requirements are also desired:

- Experience with Even Driven Architectures.

- Experience creating and deploying SQL and NoSQL databases.

- You have experience building and optimizing data pipelines, architectures, and data sets.

- Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

- Familiarity with deep learning techniques and frameworks.