Knowledge Analyst – Data Curation & Classification

Key Responsibilities

• Knowledge Administration & Content Management
• Curate, classify, and structure knowledge assets coming from:
• RFPs and proposals
• Project deliverables
• Methodologies and frameworks
• External publications and benchmarks
• Tag and organize content within structured knowledge repositories.
• Ensure proper metadata, taxonomy, and naming conventions are applied consistently.
• Maintain repository hygiene, traceability, and version control over time.
• Data Quality & Governance
• Ensure data quality, consistency, confidentiality, and compliance with internal governance standards.
• Identify gaps, duplicates, outdated content, or inconsistencies across repositories.
• Monitor adherence to knowledge management processes and escalate issues when necessary.
• Contribute to the maintenance and evolution of KM standards and documentation.
• AI-Enabled Knowledge Processing
• Use AI-enabled tools (NLP, semantic search, document classification, automated tagging) to optimize content processing and retrieval.
• Support the automation of repetitive knowledge management activities.
• Collaborate with IT and KM stakeholders to improve repository efficiency and searchability.
• Operational Support & Reporting
• Support consulting teams in retrieving relevant content and ensuring knowledge accessibility.
• Generate periodic reporting and dashboards related to repository usage, data quality, and content coverage.
• Contribute to continuous improvement initiatives within the Knowledge Management function.
• Bachelor’s degree in Business, Information Management, or a related field.
• 2+ years of experience in data curation, knowledge management, or consulting support.
• Familiarity with document processing platforms and knowledge bases.
• Strong analytical and organizational skills.
• Excellent written and verbal communication skills in English.
• Experience with tools like SharePoint.