Job Description
Job Description
Job Title: Data Science & Analytics Trainer
Experience:5+ years
Location:Lucknow(SRDT |In SRMCEMCollege Premise)
Job Summary:
We are seeking a knowledgeable and passionate Data Science & Analytics Trainer to deliver high-quality training programs in Data Science, Data Analytics, Big Data, and Data Visualization. The ideal candidate will possess strong expertise in Python-based analytics tools such as Pandas, Matplotlib, and Plotly, along with practical experience in handling real-world data projects. The trainer will be responsible for designing curriculum, conducting hands-on training sessions, mentoring learners, and ensuring participants gain industry-relevant skills in data analysis, visualization, and decision-making.
Key Skills:
- Data Science & Analytics
- Pandas
- Matplotlib
- Plotly
- Big Data Technologies
- Python for Data Analysis
- Data Visualization and Reporting
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Dashboard Development
Roles & Responsibilities:
- Deliver instructor-led training sessions on Data Science, Analytics, Pandas, Matplotlib, Plotly, and Big Data concepts.
- Design, develop, and update course content, lab exercises, case studies, assignments, and assessments.
- Provide hands-on training in data collection, cleaning, transformation, analysis, visualization, and interpretation.
- Guide learners through real-world analytics projects, business case studies, and industry use cases.
- Mentor students on exploratory data analysis (EDA), dashboard creation, reporting, and data-driven decision-making.
- Demonstrate best practices in data analysis, visualization, and storytelling using data.
- Assess learner performance through assignments, projects, quizzes, and practical evaluations.
- Stay updated with emerging trends, tools, technologies, and best practices in Data Science and Analytics.
- Customize training programs and learning materials based on organizational and learner requirements.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Strong practical experience in Data Science, Analytics, and Big Data technologies.
- Hands-on expertise with Pandas, Matplotlib, Plotly, and Python-based data analysis workflows.
- Experience working on real-world data analytics, reporting, and visualization projects.
- Knowledge of statistical techniques, data modeling, and business analytics concepts.
- Excellent presentation, communication, and mentoring skills.
- Prior training, teaching, mentoring, or corporate learning experience is preferred.
Note: Roles, responsibilities, and required expertise may be tailored according to the trainer's experience level and specific organizational requirements.