Teaching Assistant: Data Analytics (Somali Speaking)
New
C
Correlation OneData analytics education
This role is remote and open to candidates anywhere, provided you can reliably support learners during EAT program hours., Live sessions will be scheduled during East Africa Time (EAT) hours.ContractMiddle
Salary not disclosed
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Job Details
- Languages
- Professional working proficiency in both Somali and English, spoken and written; Arabic proficiency is preferred.
- Experience
- 3+ years of experience in data analytics, business intelligence, or a related role.
- Required Skills
- PythonSQLBusiness IntelligenceMicrosoft Power BITableauPandasMicrosoft ExcelSlackData analytics
Requirements
- Have professional working proficiency in spoken and written Somali and English, with the ability to explain technical content in both.
- Have 3+ years of experience in data analytics, business intelligence, or a related role.
- Have working experience with Excel formulas, lookups, pivot tables, data cleaning, and charts.
- Have working experience with SQL querying, filtering, joins, and aggregations.
- Have working experience analyzing data with Python and pandas.
- Have experience with data visualization and dashboards using Tableau or Power BI.
- Have experience working in a fully virtual environment.
- Be comfortable using Zoom, Pumble or Slack, and online learning platforms.
- Bring leadership, communication, collaboration, and organizational skills, along with empathy, flexibility, and patience.
Responsibilities
- Attend and participate in mandatory pre-program TA onboarding.
- Monitor Pumble or Slack channels and answer learner questions promptly, including within 24 hours on days without live sessions.
- Communicate with learners in English and Somali, facilitate breakout rooms, and check in with learners after live sessions.
- Help keep live sessions running when the Lead Instructor is unable to deliver the lecture, and cover lectures when assigned.
- Review upcoming labs, projects, and extended cases to prepare to answer learner questions.
- Hold individual office hours each week and grade exercises and projects within seven days, providing clear feedback.
- Record short video walkthroughs for asynchronous assignments, extended cases, and portfolio tasks.
- Reach out to learners who miss sessions or fall behind and flag concerns to the Correlation One team.
- Submit a weekly progress and challenges write-up with learner insights and suggested improvements.
- Attend the weekly staff meeting with the Correlation One team and other TAs, with camera on.
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