Data Science Analyst
SLOG SOLUTIONS PVT.LTD.
About the role
SLOG Solutions is looking for a motivated Data Science Analyst & Trainer who is passionate about data analytics and teaching. This role is ideal for fresh graduates or early-career professionals who want to develop their technical skills while also helping train students or junior learners in data science concepts.
The candidate will assist with data analysis tasks while also supporting training programs, workshops, and educational sessions related to data science and analytics.
Key ResponsibilitiesData Science & Analytics
• Collect, clean, and organize data from multiple sources.
• Perform exploratory data analysis to identify trends and insights.
• Assist in building basic data models and analytical solutions.
• Create dashboards and visual reports using tools such as Power BI or Tableau.
• Write SQL queries to extract and analyze data.
• Support senior data scientists on projects and research tasks.
Training & Education
• Assist in conducting data science and analytics training sessions.
• Help prepare training materials, presentations, and practical exercises.
• Guide students or trainees in completing assignments and projects.
• Provide basic mentorship and support to learners.
• Stay updated with the latest trends in data science and analytics education.
Required Skills & Qualifications
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Basic knowledge of Python, SQL, or R.
• Familiarity with Excel and data visualization tools (Power BI, Tableau, etc.).
• Basic understanding of statistics and data analysis techniques.
• Strong communication and presentation skills.
• Interest in teaching or mentoring students.
Preferred Skills
• Internship or academic projects in data analysis or machine learning.
• Knowledge of Pandas, NumPy, or basic machine learning concepts.
• Prior experience in teaching, tutoring, or conducting workshops.
Job Type: Full-time
Pay: ₹15,000.00 - ₹25,000.00 per month
Work Location: In person
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