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Salary
≈ $8k – $18k per year (Estimated)
Location
In office (Mumbai)
Seniority
Principal · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 27, 2026. Sia scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Sia

Sia is a French management consultancy founded in 1999, known until 2024 as Sia Partners, that combines traditional strategy and operations advice with a large in-house data and artificial intelligence capability. Its consultants work for banks, insurers, energy and utility companies, telecommunications operators and public sector clients on transformation, regulation, risk and technology programmes, supported by its own AI products rather than only slide-based recommendations. Headquartered in Paris, the firm employs several thousand consultants across Europe, North America, the Middle East and Asia.

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity.

With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

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.

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