LearningMate · 5 hours ago

SME - Usage of Data in Business

United States

Part-time

Remote

Mid Level

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Responsibilities

Design and review lesson plans covering the data lifecycle, including collection, management, analysis, and presentation.

Develop content on applying basic statistical concepts, creating impactful reports, and translating data insights into business decisions.

Ensure lessons include foundational data terminology and concepts, emphasizing practical applications in business contexts.

Validate the accuracy and relevance of all data-related concepts and practices.

Ensure the program integrates legal and ethical standards in data handling and reporting.

Align content with the program’s emphasis on enhancing data literacy, analytical skills, and strategic thinking.

Maintain a logical flow of topics, enabling progressive skill development from foundational to actionable insights.

Provide guidance on real-world applications of data handling and analysis techniques in various industries.

Offer strategies for building confidence and self-advocacy in data-driven decision-making.

Create and review assessments to measure understanding of the data lifecycle, statistical applications, and reporting techniques.

Develop scenario-based assessments to evaluate learners' ability to derive actionable business decisions from data insights.

Finalize lesson plans and course content covering the data lifecycle, statistical applications, and business insights.

Validate assessments that reflect real-world data challenges and actionable decision-making.

Provide expert feedback on content accessibility and practical relevance for professionals.

Participate in program evaluation sessions to ensure alignment with data literacy and career growth objectives.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data lifecycle managementBusiness analyticsData visualization techniquesBasic statistical conceptsLegalEthical data handlingHands-on learning designData-driven decision-making