Lead Instructor: Data Analytics

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This role is remote and open to candidates anywhere, Live lectures will be scheduled during East Africa Time (EAT) hoursContractLead

Salary not disclosed

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Job Details

Languages: Professional working proficiency in both Somali and English, spoken and written, with the ability to teach technical content in both. Arabic proficiency is preferred.
Experience: 5+ years of professional experience in data analytics, business intelligence, or a related role.
Required Skills: PythonSQLMicrosoft Power BITableauPandasMicrosoft ExcelData visualizationData analytics

Have 5+ years of professional experience in data analytics, business intelligence, or a related role.
Have professional working proficiency in spoken and written Somali and English, and be able to teach technical content in both.
Hold a degree in a Data Analytics-related field, such as statistics, mathematics, economics, computer science, or information systems, or have equivalent industry experience.
Be able to teach Excel formulas, lookups, pivot tables, data cleaning, and charts.
Be able to teach SQL querying, filtering, joins, and aggregations.
Be able to teach Python data analysis with pandas and basic visualization.
Be able to teach data visualization and dashboards using Tableau or Power BI.
Be able to teach descriptive statistics and data storytelling for non-technical audiences.
Have teaching or training experience with adult learners; remote-setting and beginner experience are preferred.
Be comfortable with Zoom, Pumble or Slack, and online learning platforms.
Be able to reliably teach during EAT program hours.
Analytics certification, Arabic proficiency, familiarity with Maay and standard Somali, and experience with remote or freelance analytics roles are preferred.

Prepare and lead live virtual lectures and hands-on demonstrations using the provided curriculum.
Guide learners through real datasets in Excel, SQL, Python, and Tableau or Power BI, from raw data to a finished analysis or dashboard.
Manage class time, answer questions, monitor chat, and support learner engagement.
Use real-world examples from industry experience to explain how employers assign, review, and assess remote analytics work.
Work with the Correlation One operations team and Data Analytics Teaching Assistants.
Meet with the Correlation One team before lectures and attend a short weekly check-in.
Help shape portfolio projects to reflect entry-level analyst work.
Contribute to lesson design and improvement.
Submit lecture plans for review 10 days in advance and apply learner feedback to course delivery.

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