- Company Name
- Rockborne
- Job Title
- Learning & Development Specialist – Data & AI
- Job Description
-
Job title: Learning & Development Specialist – Data & AI
Role Summary:
Train and support early‑career data professionals and corporate clients on core data, analytics, and cloud tools. Deliver engaging, interactive sessions, create and update learning materials, and coach learners through practical exercises, ensuring content stays current with evolving technologies. Collaborate with senior coaches while managing own schedule and workload.
Expactations:
- Confident presenter and teacher able to explain complex concepts simply.
- Self‑starter who plans, prioritises, and manages time effectively.
- Continuously learns new tools and stays updated on industry trends.
- Engages learners in both virtual and face‑to‑face settings.
- Demonstrates motivation to develop others’ practical data skills.
Key Responsibilities:
1. Deliver training on Excel (analysis, pivot tables, formulas), SQL (queries, joins, aggregations), Python (data manipulation), data visualisation (Power BI/Tableau), and cloud platforms (AWS, GCP, Azure).
2. Adapt delivery style to diverse audiences and skill levels, training internal consultants and external corporate clients.
3. Design, develop, and maintain training content, exercises, and digital resources.
4. Provide coaching, feedback, and support to learners during practical tasks.
5. Keep learning materials relevant by researching and incorporating new tools and best practices.
6. Collaborate with senior coaches; independently manage workload and schedule.
Required Skills:
- Excellent oral communication, presentation, and facilitation skills.
- Proven experience in teaching, tutoring, training, or coaching (academic, professional, or online).
- Proficiency in Excel and SQL; familiarity with Python and/or cloud platforms is advantageous.
- Strong organisational and time‑management abilities.
- Enthusiastic about continuous professional development.
- Comfortable delivering both in‑person and virtual training sessions.
Required Education & Certifications:
- Degree in Computer Science, Data Science, Mathematics, or a related field preferred (not mandatory).
- Certifications in relevant domains (e.g., Microsoft Certified: Power BI, Tableau Desktop Specialist, AWS/Azure/GCP Data Analytics, SQL or Python certifications) are desirable.