Facilitator Data analytics & Data science
Listing location: India
Workplace type: Remote
Structured job location: India
Fully remote work setup based in IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English, both written and verbal
- Experience
- 3+ years of experience
- Required Skills
- PostgreSQLPythonSQLTableauData scienceMicrosoft ExcelData analyticsA/B testing
Requirements
- 3+ years of experience in data analytics, data science, teaching, or related industry roles.
- Strong academic background in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related fields; PhD or ongoing PhD is highly preferred.
- Hands-on expertise with SQL, Python, Excel, Tableau, and PostgreSQL.
- Strong understanding of statistical analysis, hypothesis testing, A/B testing, and data interpretation for business decisions.
- Ability to clearly explain complex technical concepts to non-expert learners in structured and simple language.
- Experience in online teaching platforms such as Zoom or similar tools is preferred.
- Excellent communication skills in English, both written and verbal.
- Strong organizational skills with the ability to manage multiple academic tasks in a fast-paced environment.
- Willingness to work rotational shifts based on operational needs.
Responsibilities
- Deliver live instructional sessions, weekly video tutoring, and on-demand academic support for learners in data analytics programs.
- Review and ensure quality of academic content, maintaining defined QA standards and a minimum performance score across all activities.
- Support learners by explaining complex analytical concepts clearly, conducting Q&A sessions, and identifying knowledge gaps.
- Mentor newly onboarded experts and contribute to their training and performance improvement during onboarding phases.
- Collaborate with academic teams to enhance curriculum content, learning workflows, and instructional delivery quality.
- Contribute insights on emerging tools, datasets, and analytics trends to strengthen course relevance and effectiveness.
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