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C / C++ / DSA / Data Analyst trainer

5-10 Years
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Job Description

A Job Description (JD) for a C, C++, DSA, and Data Analyst Trainer outlines the core responsibilities, technical skills, and qualifications needed to teach programming and data analytics concepts to students or professionals.

We are looking for an enthusiastic and skilled Technical Trainer specializing in C, C++, Data Structures & Algorithms (DSA), and Data Analytics. The ideal candidate has a strong foundation in core programming and data concepts, with a proven ability to explain complex technical topics clearly to beginners and advanced learners alike.

Key Responsibilities

  • Deliver Training Sessions: Conduct engaging live online or offline classes, workshops, and lab sessions on C, C++, advanced DSA, and Data Analytics.
  • Curriculum Delivery: Follow and enhance structured course modules, coding assignments, and hands-on projects.
  • Doubt Clearing & Mentoring: Resolve student queries during sessions and via discussion forums in a timely manner.
  • Assessments & Evaluation: Design and grade quizzes, coding tests, and capstone projects to track student progress.
  • Interview Preparation: Guide learners on solving LeetCode/HackerRank-style coding problems and prepare them for technical placement interviews.
  • Keep Updated: Stay current with industry hiring trends, new programming updates, and analytical tools.

Required Skills & Qualifications

  • Core Programming: Deep expertise in C and C++ (Pointers, Memory Management, Object-Oriented Programming).
  • DSA Mastery: Strong command over Data Structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs) and Algorithms (Sorting, Searching, Dynamic Programming).
  • Data Analytics Knowledge: Proficiency in data analysis fundamentals (SQL, Excel, Python/R for data analysis, and data visualization tools like Tableau or Power BI).
  • Communication: Excellent verbal and written communication skills with patience and a student-first approach.
  • Education: Bachelor's or Master's degree in Computer Science, IT, Data Analytics, or a related technical field.

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Job ID: 153050539

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