Cloud Computing Bootcamp Trainer
Skills
About This Role
Overview
We are launching an intensive Data Analytics Bootcamp (10–12 weeks) and are seeking an experienced trainer to deliver the full program end-to-end.
This role requires a hands-on professional capable of guiding learners across the analytics lifecycle — from data sourcing and transformation to visualization and end-to-end project delivery — with a strong emphasis on practical, lab-driven learning and business use cases.
Program Overview
- Duration: 10–12 weeks
- Format: Instructor-led with hands-on labs
• Delivery Mode: Classroom / Hybrid
- Focus: Practical analytics, dashboards, and data pipeline development
- Modules to Be Delivered by the Trainer
• Master Data Sourcing
- Extracting Data (APIs, ELT, ingestion)
- Transforming Data (cleaning, validation)
- SQL for Analytics
• BI & Visualization
- Python Analysis I (predictive basics, clustering)
- Python Analysis II (automation, Airflow, orchestration)
- Project I (problem framing & data preparation)
- Project II (end-to-end analytics solution)
- Career Coaching
Role Overview
The trainer will be responsible for delivering the full analytics bootcamp, ensuring structured progression from foundational analytics concepts to advanced data workflows, visualization, and project-based delivery.
Key Responsibilities
- Deliver all sessions across the full analytics curriculum
- Design and facilitate hands-on labs, datasets, and exercises
- Teach real-world analytics workflows (data sourcing → transformation → visualization)
- Support learners throughout the program lifecycle
- Evaluate assignments and provide structured, actionable feedback
- Guide participants through milestone-based and final projects
- Ensure logical flow and integration across all modules
Required Qualifications
- Minimum 5+ years of experience in data analytics, BI, or related fields
- Strong proficiency in SQL (advanced querying, optimization, modeling)
- Hands-on experience with data extraction and APIs
- Strong knowledge of data cleaning, transformation, and preparation techniques
- Experience with BI tools (Power BI, Tableau, or similar)
- Proficiency in Python for analytics (pandas, NumPy)
- Experience with data pipelines and orchestration tools (e.g., Airflow or similar)
- Strong understanding of analytics lifecycle and KPI development
Teaching Requirements
- Proven experience in training, teaching, or mentoring
- Ability to explain analytics concepts in a clear, structured, and practical way
- Strong emphasis on hands-on labs, dashboards, and business use cases
- Experience working with real-world datasets and reporting scenarios
Preferred Qualifications
- Experience delivering analytics bootcamps or intensive programs
- Portfolio of dashboards, reports, or analytics solutions
- Experience mentoring junior analysts or trainees
- Familiarity with cloud-based analytics environments
Engagement Details
- Duration: 10–12 weeks
- Schedule: 3–4 days per week
- Session Duration: 4–6 hours per day
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