Knowledge Analyst – Data Curation & Classification

As a Knowledge Analyst, you will be responsible for collecting, curating, and classifying strategic data from internal and external sources. You will leverage smart tools and AI-powered platforms to accelerate data processing and ensure high-quality knowledge assets are available for consulting teams. 

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• Identify gaps, duplicates, outdated content, or inconsistencies across repositories.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.   

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.