Springboard - Data Analytics Subject Matter Expert

• Curriculum Review & Alignment • Review content across Excel, statistics, financial analysis, visualization, reporting, SQL, Python, and advanced analytics modules for accuracy, relevance, and appropriate depth/breadth to prepare learners for entry-level data analytics roles. • Recommend curriculum and content updates based on current analyst responsibilities, modern BI/data tools, and AI-assisted data analytics practices. • Help distinguish foundational skills from advanced or more specialized topics and align outcomes with entry-level and early-career analyst expectations. • Develop content where needed – this may include writing original content, and using AI to develop new learning aids or resources (videos, PDFs, infographics, etc.) • AI in Data Analytics • Develop and review content that teaches how to use AI as a workflow accelerator while preserving analytical reasoning and human judgment. • Create explainers (videos, infographics, PDFs) for using AI to troubleshoot formulas, support step-by-step analysis, draft summaries and chart explanations, and explore visualization approaches. • Teach responsible AI use: validating outputs, identifying unsupported conclusions, protecting sensitive data, and maintaining human accountability. • Design AI-enabled exercises that reinforce, rather than bypass, core analytics skills. • Content Development & Quality Assurance • Write or revise lessons, exercises, projects, case studies, quizzes, and assessments using realistic business scenarios and datasets. • Review spreadsheet activities, SQL queries, Python scripts, visualizations, and AI-assisted workflows for technical accuracy and pedagogical effectiveness. • Develop practical reporting activities that help learners interpret KPIs and communicate insights clearly to operational and non-technical stakeholders.