For an global company specializing in IT infrastructure management services, we are seeking a candidate for the position of Data Analyst.

Requirements:

• can you write Regex – write code
• forward slash vs back slash
• azure promoter & pipelines
• SIEM knowledge and experience
• • Data savviness. You know your way with data and getting all the insights out. Keen on finding the ‘real’ problem that needs to be solved. Relentless but friendly, following processes
• Communication and Data Visualization: Knowing Your Audience
• Data engineering. Implementing data analytics from source to consumption
• Knowledge of Azure related pipelines is preferred
• Understanding of security logging in diverse formats and schema’s
• Data Wrangling. KQL, Regex, Grok
• Experience with SIEM solutions and detection engineering (3 years or more)
• And it would be great if you have some typical domain knowledge too like
• Internet technology: networks, web applications, http, json, xml
• Information security: identity and access, cybercrime, cyber security
• Banking or financial sector
• Agile-scrum way of working
• Scale out logging usage by normalizing raw logs to a standardized schema
• Utilize Microsoft tooling within the Azure landscape through a manual process
• Place normalization configuration within the Azure Monitor data pipeline
• Identify necessary fields and values for normalization
• Perform transformations using KQL and Regex concepts
• Generate configurations based on a small sample of logs
• Apply configurations directly within the data pipeline

Smart results:

• at least 60% of the security log schema’s identified for 150 application are normalized by EOY
• testing the security log normalization
• applying of the configuration in the pipeline
• validation of the security log normalization with the relevant stakeholders
• ensuring data quality over-time including preventing dropping of security logs

Stable employment conditions – the offer assumes long-term cooperation based on B2B or UoP.

The cooperation is in a remote form.

Dimensions of hours: Full-time.

Recruitment is one-stage, final feedback within 1 week after the interview.