Description

Job Description:

  • Best vs. Average: The ideal resume would contain:
  • Security engineer with hands on experience performing Data Loss Prevention policy requirement gathering, policy analysis, support for deployment of policy, false positive study, troubleshooting, and developing remediation guidance.
  • Written and verbal communication skills
  • Data loss prevention rule configuration support
  • Perform data analysis, create reports, and derive insights.
  • Advanced skills for building custom queries and dashboards using PBI, Azure SQL, on prem SQL, and KQL (via LogicApps), including:
  • PBI M-Code, DAX – measures & calculated columns
  • PBI Service experience for publishing dashboards, scheduling models, and subscribing reports.
  • SQL Server Development / Query writing – Experience in data analysis using SQL queries
  • Azure Log Analytics workspace services using Kusto Query Language and parsing of JSON data to columns using KQL.
  • Azure Dev Ops for logging bugs with product teams
  • Very Very Very Heavy on Data Analytics***
  • PowerBI and being able to build a dashboard in PowerBI and analyze that.
  • Kusto Query Language
  • SQL/Azure Dev Ops
  • Performance Indicators: Performance will be assessed based on Quality of work and data loss prevention. Meeting Deadlines

Top 3 Hard Skills Required + Years of Experience

  • 3-5 Years of Experience in prior work history in Data Analytics
  • Any experience with Data Loss Prevention in the past
  • Any prior experience with ADO Bug Writing.

 

Skills: "Project Manager" AND "Data Analytics" AND "Data Loss Prevention" AND Azure AND PBI

Key Skills
Education

Any Gradute

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