Data Analytics Subject Matter Expert

The Company

At Springboard, we’re on a mission to bridge the world’s skills gap, offering transformative online education in data science, UI/UX design, machine learning, and coding. Our courses may be tech-enabled, but we're ultimately human-centric: each student taps into a vast community throughout their time with us, engaging with fellow students, industry-expert mentors, student advisors, and career coaches, the goal of which is to successfully transition students into their dream job. Through this hybrid approach, we’ve helped thousands of learners revamp their careers and, by extension, their lives, with hundreds of top-notch job offers received every year and a near-perfect placement rate for our program graduates.

Role Overview

We are seeking an experienced Data Analytics professional with content and curriculum design experience to serve as a Subject Matter Expert (SME) for our Data Analytics Bootcamp. This SME will partner with Springboard’s learning team to review and update our curriculum and develop net-new learning content to ensure our program reflects current industry expectations for entry-level data analytics roles.

Key ResponsibilitiesCurriculum 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.