
Teaching Assistant, Somali Speaking – Data Analytics
Posted 12 hours ago

Posted 12 hours ago
This is a fully remote position, open to applicants anywhere in the world.
• Participate actively in required pre-program TA onboarding sessions.
• Monitor Pumble or Slack channels and respond promptly to learner inquiries.
• Communicate with learners in both English and Somali as necessary.
• Facilitate breakout rooms during lectures when appropriate.
• Check in with learners following each live session.
• Provide support during live sessions if the Lead Instructor faces technical issues or is unable to deliver the lecture.
• Attend designated live lectures and address questions from learners.
• Respond to learner questions within 24 hours on days without live sessions.
• Encourage discussions and share valuable resources in Pumble or Slack channels.
• Review upcoming labs, projects, and extended cases.
• Conduct individual weekly office hours.
• Evaluate exercises and projects within a seven-day timeframe, offering clear feedback.
• Create short video walkthroughs for asynchronous assignments.
• Reach out to learners who miss sessions or fall behind and report concerns to the Correlation One team.
• Submit weekly reports detailing progress and challenges along with learner insights and recommended improvements.
• Attend weekly staff meetings with Correlation One and other teaching assistants.
• Proficient in both Somali and English, both spoken and written, with the ability to explain technical concepts in both languages.
• At least 3 years of experience in data analytics, business intelligence, or a related field.
• Proficient in Excel, including formulas, lookups, pivot tables, data cleaning, and charting.
• Experience with SQL for querying, filtering, joins, and aggregations.
• Familiarity with Python for data analysis using pandas.
• Experience in data visualization and dashboard creation using Tableau or Power BI.
• Strong leadership, communication, collaboration, and organizational abilities.
• Empathy, adaptability, patience, and a passion for assisting learners new to data analytics.
• Experience in a fully virtual working environment.
• Comfortable using Zoom, Pumble or Slack, and online learning platforms.
• Option for remote work.
• Comprehensive fully virtual training program.
• Weekly office hours and a structured support system for learners.
• Required pre-program TA onboarding and access to training materials.
• Commitment to an equal opportunity work environment.
• Support for reasonable accommodations during the application or interview process.
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