Information Management Analyst

23 hours ago


Stockholm, Stockholm, Sweden WSP Sverige Full time

About the Role

We are seeking a highly skilled Data Classification and Labeling Analyst to join our team at WSP Sverige. The successful candidate will be responsible for accurately classifying and labeling large datasets to support our machine learning and data analysis initiatives.

Key Accountabilities

  • Refine data discovery, classification, and labeling requirements
  • Develop internal data process/placement mapping
  • Define classification and labeling schema and lifecycle handling policies
  • Identify gaps in current solution and recommend additional tooling
  • Select, implement, and configure solution to scan, map, classify, and label WSP's data holdings
  • Configure solution to enable automated and manual sensitive data labeling for M365 apps and services
  • Prioritize and onboard data sources for scanning
  • Execute scans, build data maps, and tune classifications
  • Develop policies and procedures to sustain discovery, classification, and labeling capabilities

Collaboration and Leadership

  • Develop positive working relationships with team members and business partners
  • Provide feedback on the governance process for continued improvement

Requirements and Qualifications

  • 7+ years related experience in data management or similar position
  • Bachelor's degree or equivalent in Information Technology, Computer Science, Engineering, data sciences, or related field
  • Proficiency in data analysis tools and software (purview). Familiarity with machine learning concepts is a plus.
  • Strong analytical skills with a keen eye for detail and accuracy.
  • Experience with IT Governance frameworks such as COBIT, ITIL and ISO 2700x, NIST
  • Experience with governance, compliance, and audit within IT environments
  • Experience in risk management, including risk analysis, mitigation, and monitoring
  • Knowledge of information security regulations applicable to WSP

Preferred Qualifications

  • Master's degree in Information Technology, Computer Science, Engineering, data sciences, or related field
  • Microsoft data analyst associate certification, Data+ or equivalent


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