Data Analytics Subject Matter Expert

SpringboardOnline education

Remote (U.S.)ContractSenior

Salary55 - 60 USD per hour

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Job Details

Experience: 7+ years of experience in data analytics or business analytics ideally within a large, Fortune 1000 organization.
Required Skills: PythonSQLTableauMicrosoft ExcelData visualizationFinancial analysisGenerative AIData analytics

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

Review Excel, statistics, financial analysis, visualization, reporting, SQL, Python, and advanced analytics curriculum for accuracy, relevance, and appropriate depth.
Recommend curriculum updates based on current analyst responsibilities, modern BI and data tools, and AI-assisted analytics practices.
Align learning outcomes with entry-level and early-career analyst expectations.
Write original learning content and use AI to develop learning aids and resources.
Develop and review content on using AI to support analytics workflows while preserving analytical reasoning and human judgment.
Create explainers for using AI to troubleshoot formulas, support analysis, draft summaries and chart explanations, and explore visualization approaches.
Design AI-enabled exercises that reinforce core analytics skills and teach responsible AI use.
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 reporting activities that help learners interpret KPIs and communicate insights to operational and non-technical stakeholders.

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