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 Responsibilities

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.

Qualifications

Bachelor’s or Master’s degree in Data Analytics, Computer Science, Statistics, Economics, or a related field.
7+ years of experience in data analytics or business analytics ideally within a large, Fortune 1000 organization.
Experience teaching data analytics and developing data analytics explainer content and/or curricula is a role requirement.
Experience using AI to develop content (videos, infographics, text and more).
Responsibility for hiring early-career data analytics talent is a strong plus.
Strong command of SQL, Python, Microsoft Excel, and visualization tools such as Tableau.
Strong understanding of statistics, financial analysis, reporting, visualization, and structured analytical problem-solving.
Hands-on familiarity with generative AI tools and their practical use in analytics workflows, including evaluation of AI-generated outputs for correctness and limitations.
Excellent written and verbal communication skills and the ability to explain technical concepts to non-technical or beginner audiences.

Pay: $55-60/hour

We are an equal opportunity employer and value diversity at our company. We welcome applications from all backgrounds, and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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