Junior AI Data Analytics Specialist

Overview

What You’ll Do

• 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
• **What Makes You a Great Fit**
• 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
• **Why This Role Stands Out**
• This is not a traditional L&D or data role—you’ll be building the systems that **modernize how learning operates** .
• From AI agents to automated reporting and personalized content, your work will directly shape how training scales, engages users, and drives performance.