Data Classification and Labeling Analyst (Global)

Key Skills

Analytical and Problem solving, Data Classification, Data science techniques, Framework, Python Programming, PyTorch, UI design, UX design

Job Description

We are seeking a meticulous and detail-oriented Data Classification and Labeling Analyst to join our Security Engineering and Operations team. The successful candidate will be responsible for accurately classifying and labeling large datasets to support our machine learning and data analysis initiatives. 

A day in the life

Specific areas of responsibility may fall into any one of the following areas of Data Classification and Labeling:

• Refine data discovery, classification, and labelling requirements (e.g., data sources, data/file types, integrations)​

• Develop Internal Data Process / Placement Mapping​

• Define classification and labelling schema and lifecycle handling policies​

• Identify gaps in current solution (e.g., MS Purview) identify additional tooling required​

• Select, implement, and configure solution to scan, map, classify, and label WSP’s data holdings​

• Configure solution to enable automated and manual sensitive data labelling for M365 apps and services (incl. configuring mail flow rules)​

• Prioritize and onboard data sources for scanning (e.g., structured, unstructured data across applications, databases, file shares, cloud storage)​

• Execute scans, build data maps, and tune classifications​

• Develop policies and procedures to communicate, operationalize, and sustain discovery, classification, and labelling capabilities​

Leadership and People Responsibilities

• Develop positive working relationships with other team members and business partners and partners across teams to align with WSPs internal and external client demands.

• Provide feedback on the governance process for continued improvement.

Finance/Budgetary Responsibilities 

• Provide feedback on tooling and identify additional needs

• Plan for expanse of security tools to cover ongoing needs

• Evaluation of license usage and potential growth

• What you’ll bring to WSP:

• 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 of risk management, including risk analysis, mitigation, and monitoring

• Knowledge of information security regulations applicable to WSP