SAS Technical Trainer
5 hours ago
Job Title: SAS Technical Trainer
Location:
Mumbai
Employment Type:
Full-time
Department:
Training & Enablement
About the Role
We are seeking a highly skilled and passionate
SAS Technical Trainer
to join our Training & Enablement team. The ideal candidate will have strong expertise in Data Science and programming fundamentals, with the ability to deliver high-quality training sessions to diverse learner groups. Experience in SAS is preferred, but strong hands-on skills in Python or R are also acceptable.
Key Responsibilities
- Deliver instructor-led training programs on SAS, Python, R, Machine Learning, and Data Science concepts.
- Conduct hands-on sessions, workshops, and mentoring for learners at various proficiency levels.
- Develop, update, and enhance training materials, lab exercises, assessments, and course content.
- Stay updated with the latest trends in analytics, data science, and SAS technologies.
- Work closely with internal stakeholders to customize training programs as needed.
- Provide post-training support, doubt-clearing sessions, and learner evaluations.
- Maintain high training quality standards and learner satisfaction.
Minimum Qualifications
- Bachelor's degree in
Mathematics, Statistics, Computer Applications, Engineering, or Data Science
.
Preferred Qualifications
- Master's degree in
Mathematics, Statistics, Computer Applications, Engineering, or Data Science
.
Required Skills & Experience
- 5–7 years of experience
in a similar technical training role. - Hands-on training experience in
Python, R, or SAS
. - Knowledge of
Machine Learning
,
Data Science
, and related analytical methodologies. - Strong communication, presentation, and classroom management skills.
- Ability to simplify complex technical concepts for learners.
- SAS knowledge is
preferred but not mandatory
.
Additional Skills (Good to Have)
- Experience building real-world data science use cases for training.
- Certification(s) in SAS or Data Science domains.
- Exposure to cloud analytics platforms (AWS, Azure, GCP).
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