Junior AI Data Analytics Specialist

• Manage and optimize learning platforms (LMS and Microlearning), including user accounts, course setup, campaigns, and troubleshooting.
• Design and build AI-enabled solutions such as learning assistants, Q&A bots, reporting summaries, and training insights tools.
• Develop automation workflows and scripts (Python, Power Automate, APIs) to streamline manual processes like provisioning, reporting, and campaign scheduling.
• Create engaging microlearning content, including quizzes, challenges, and scenario-based learning aligned to business goals.
• Build and maintain RAG workflows, LLM integrations, and AI agents (LangChain, LangGraph) connected to training knowledge sources.
• Maintain and enhance reporting tools, including Power BI dashboards and automated reporting applications (Streamlit / HTML).
• Extract, clean, and analyze training data from LMS, microlearning platforms, and databases to identify trends and performance gaps.
• Automate and streamline recurring data processes such as reporting, reconciliation, and survey analysis.
• Support training measurement, including survey analysis, KPI tracking, and performance insights.
• Lead stakeholder communications, including dealer follow-ups, reporting support, and training guidance.
• Present insights, dashboards, and AI initiatives to leadership in a clear, business-focused way.
• Identify new opportunities to improve engagement, automation, and platform effectiveness.

Requirements

• Experience working across learning platforms, data, or digital training environments.
• Strong skills in Python, Power BI, and Excel for data processing, reporting, and automation.
• Hands‑on experience with Generative AI, LLMs, or AI tools applied to real business use cases.
• Familiarity with RAG, prompt engineering, or AI workflows (LangChain, vector databases, etc.).
• Experience building automation solutions (scripts, APIs, Power Automate, or similar tools).
• Strong analytical mindset—able to turn raw data into clear business insights.
• Comfortable working with both technical systems and non‑technical stakeholders.
• Ability to manage multiple priorities and work independently in a fast‑paced environment.
• Strong communication skills, including the ability to present technical concepts clearly.
• Background in training, learning operations, or digital content development is a plus.