Springboard

Tuition-based online courses with mentorship

Data Analytics Subject Matter Expert

Data AnalysisConfirmed live in the last 24 hours

Part-timeRemote in USA$55 - $60 /hr

About the Job

Requirements

A bachelor's or master's degree in Data Analytics, Computer Science, Statistics, Economics, or a related field.
At least 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 or curricula.
Experience using artificial intelligence to develop content such as videos, infographics, and text.
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 artificial intelligence tools and their practical use in analytics workflows, including evaluating 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.

Responsibilities

Review content across Excel, statistics, financial analysis, visualization, reporting, SQL, Python, and advanced analytics modules for accuracy, relevance, and appropriate depth and breadth to prepare learners for entry-level data analytics roles.
Recommend curriculum and content updates based on current analyst responsibilities, modern business intelligence and data tools, and AI-assisted data analytics practices.
Distinguish foundational skills from advanced or specialized topics and align learning outcomes with entry-level and early-career analyst expectations.
Develop new learning content as needed, including original content and AI-developed learning aids or resources such as videos, PDFs, and infographics.
Develop and review content that teaches learners to use AI as a workflow accelerator while preserving analytical reasoning and human judgment.
Create explainers for using AI to troubleshoot formulas, support step-by-step analysis, draft summaries and chart explanations, and explore visualization approaches.
Teach responsible AI use, including validating outputs, identifying unsupported conclusions, protecting sensitive data, and maintaining human accountability.
Design AI-enabled exercises that reinforce, rather than bypass, core analytics skills.
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 key performance indicators and communicate insights clearly to operational and non-technical stakeholders.

Desired Qualifications

Responsibility for hiring early-career data analytics talent is a strong plus.

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.

California Privacy Rights Notice for Job Applicants

Under the California Consumer Privacy Act (“CCPA”), Springboard is required to inform California residents who are job applicants about the categories of personal information we collect about you and the purposes for which we will use this information. This notice contains disclosures required by the CCPA and applies only to personal information that is subject to the CCPA.

About the Company

Springboard

Tuition-based online courses with mentorship

Springboard provides online courses in data science, UX design, and other tech fields, aimed at helping individuals advance or pivot their tech careers. The platform blends self-paced learning with one-on-one mentorship from industry experts, who guide students, give feedback, and support project work to build practical skills. Courses are tuition-based and some programs offer a job guarantee, meaning a student can receive a tuition refund if they don’t land a job within six months of graduation. The company also partners with tech firms and educational institutions to broaden its reach and keep content aligned with real-world needs. Compared with competitors, Springboard emphasizes hands-on mentorship and real-world projects, along with a guaranteed path to employment, setting it apart in the online education market. Its overall goal is to help learners, including recent graduates and career changers, gain job-ready skills and secure tech roles.

Company size: 1,001-5,000
Company stage: Late Stage VC
Total funding: $65.7M
Headquarters: San Francisco, CA
Founded: 2013

Recently Posted Jobs

Explore more opportunities at Springboard

See more jobs