Data Analyst Ex

Workplace
Hybrid

About this role

Data Analyst Senior
 
Requirements
• Required – Technical Skills
·        8+ years of experience in solutions analysis, business systems analysis, delivery management, or consulting roles
·        Hands-on experience with AI and automation platforms: Glean, Anthropic Claude, OpenAI Enterprise, Gemini Enterprise
·        Strong knowledge of LLMs and agentic workflows
·        Experience building AI solutions, agents, prototypes, and production-ready applications
·        Portfolio and delivery management experience, including task tracking, timelines, and dependencies
·        Ability to develop business and technical documentation, presentations, and dependency plans
·        Strong understanding of complex business processes and technical solution design
·        Bachelor's degree in Information Technology, Computer Science, Engineering, Business, or related field, or equivalent practical experience

• Required – Soft Skills
·        Strong communication and presentation skills
·        Ability to engage and influence senior stakeholders
·        Strong analytical and problem-solving skills
·        Ability to work at both strategic and detailed levels
·        Strong organizational and prioritization skills
·        Collaborative team-oriented mindset
·        Ability to drive adoption and change management initiatives

• Responsibilities (Activities to perform)
·        Build AI solutions and agents using Glean, Anthropic Claude, OpenAI Enterprise, and Gemini Enterprise
·        Develop prototypes and production-ready AI solutions to demonstrate business value
·        Analyze business needs and identify appropriate AI-driven solutions
·        Understand business operations, processes, and technical requirements across functions
·        Manage project portfolios, timelines, deliverables, and dependencies across Enterprise AI initiatives
·        Create detailed dependency plans and high-level project tracking as required
·        Produce project deliverables, including prototypes, documents, and presentation materials
·        Drive adoption of AI solutions across business teams
·        Measure solution effectiveness and communicate results and recommendations
·        Contribute to enterprise AI standards, reusable frameworks, and cross-functional initiatives
·        Support and collaborate on broader Enterprise AI team projects and objectives

• Required Languages
·        English: Upper Intermediate

• Special Conditions
·        Hybrid.
·       

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