Afterskills
1 - 10 employees
Founded 2017
📚 Education
🤝 B2B
🏢 Enterprise
Education • B2B • Enterprise
Afterskills is a provider of customized data literacy programs aimed at helping corporations and universities cultivate a data-driven culture. Their courses are designed to enhance core skills in analytics, business intelligence, and communication, ensuring that participants can effectively translate technical insights into actionable business strategies. Developed by experts from leading tech and finance companies, Afterskills focuses on delivering relevant training that directly aligns with the specific objectives and terminology of each organization, leading to measurable skill improvement and cultural transformation.
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Afterskills
1 - 10 employees
Founded 2017
📚 Education
🤝 B2B
🏢 Enterprise
Education • B2B • Enterprise
Afterskills is a provider of customized data literacy programs aimed at helping corporations and universities cultivate a data-driven culture. Their courses are designed to enhance core skills in analytics, business intelligence, and communication, ensuring that participants can effectively translate technical insights into actionable business strategies. Developed by experts from leading tech and finance companies, Afterskills focuses on delivering relevant training that directly aligns with the specific objectives and terminology of each organization, leading to measurable skill improvement and cultural transformation.
📋 Description
• Start by shadowing one of our Lead Instructors to gain an understanding of our unique teaching style. • Lecture alongside one of our Lead Instructors gaining hands-on experience lecturing at some of the world’s premiere companies and business schools. • Gain in-depth knowledge on how to translate business problems into necessary technical requirements to surface data-driven business recommendations. • Improve public speaking skills and confidence around data and analytics. • Commit a minimum of 2-3 days per week for course delivery, primarily virtual for now.
🎯 Requirements
• Bachelor's degree and strong academic record; advanced graduate degree (e.g., Quantitative Masters, MBA, PhD, etc.) preferred. • Familiarity with data analytics methodologies and tools including but not limited to: basic statistics and probability (t-tests, confidence intervals, etc.), Machine Learning (Supervised and Unsupervised Learning), SQL, Excel, Power BI, Tableau, Python, Alteryx, ChatGPT, etc. • Previous experience with client-facing interactions in a consulting and/or investment banking role • Previous experience as a teaching assistant and general comfort with public speaking engagements a plus • Previous experience in Education Management or EdTech is a plus.
🏖️ Benefits
• Flexible work arrangements • Professional development opportunities
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