Job Description

Job Title:

Data Analytics Trainer

Location:

Hyderabad, Telangana

Experience Required:

Minimum 2 years in data analytics and instructional roles

Employment Type:

Full-Time, Onsite

Job Summary:

We are looking for a passionate and experienced

Data Analytics Trainer

to join our Hyderabad-based team. The ideal candidate will possess strong technical expertise in analytics tools and techniques, coupled with a genuine interest in mentoring and upskilling future data professionals. You will be responsible for delivering in-person, hands-on training sessions that empower learners to analyze, visualize, and interpret real-world data for business decision-making.

Key Responsibilities:

Curriculum Development:

Design, develop, and regularly update training modules covering

Python (Pandas, NumPy)

,

SQL

,

Excel

,

Power BI/Tableau

,

statistical analysis

, and

business problem-solving techniques

.

Training Delivery:

Conduct interactive classroom and lab sessions using

live demos

,

hands-on exercises

, and

real-world datasets

to ensure practical, industry-relevant learning.

Project Mentorship:

Guide learners through

capstone projects

and case studies, helping them build strong analytics portfolios and apply best practices in data analysis and reporting.

Assessment & Feedback:

Evaluate students' progress through quizzes, assignments, and projects. Provide personalized, constructive feedback and career preparation guidance.

Content Updating:

Regularly refresh course content in line with

emerging tools (ML basics, R, cloud analytics)

, analytics trends, and industry needs.

Lab & Technical Support:

Set up and maintain analytics environments, troubleshoot technical issues, and coordinate with internal teams to ensure smooth, efficient training delivery.

Required Qualifications & Skills:

Bachelor's or Master's degree

in Data Science, Computer Science, Mathematics, Statistics, or a related field. Minimum

2 years of hands-on experience

in data analytics or technical training roles.

Technical Expertise In:

Data Tools:

Python (Pandas, NumPy), SQL, Excel

Business Intelligence Tools:

Power BI, Tableau

Statistical Analysis & Data Visualization:

Inferential statistics, exploratory data analysis (EDA), dashboard creation, and storytelling Strong communication, presentation, and mentoring skills, with the ability to simplify complex concepts. * Familiarity with business-case thinking and application of data analytics in real-world scenarios.