Data Science Trainee 99yeardeals
99yeardeals
Office Location
Full Time
Experience: 8 - 8 years required
Pay:
Salary Information not included
Type: Full Time
Location: All India
Skills: Data analytics, data science, Tableau, Power Bi, Python, Excel, SQL, Data Visualization, Webinar, Seminar
About 99yeardeals
Job Description
JD- Data Science we are looking for data analyst who can review mapping data for digital mapping applications. Role & responsibilities Deliver engaging, hands-on training sessions on Data Analytics/ Science techniques. Knowledge of data analysis concepts and tools. Build automated reports and dashboards with the help of Tableau Share expertise in Advanced Power BI, Python to shape future-ready analysts. Familiarity with Excel, SQL, or other data analysis tools is a plus. Ability to work independently, complete deliverables timely and report on relevant updates Good communication skills and documentation skills Team player, Self-Motivated and Self-Starter with a keen eye to look opportunity for improvements and efficiencies Have an analytical and problem-solving mindset and approach Mentor and guide students with practical insights from your own analytics journey. Have prior experience of Webinar/seminar. Qualifications: Bachelor degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. (Certifications in Data domain are a big plus). Should have a minimum of 8 years of professional experience in the Data Science AI. Strong analytical and problem-solving skills. Good understanding of data visualization concepts (experience with tools like Power BI, Tableau, etc. is a plus). Willingness to learn and grow in the data analytics field. Ability to work independently Excellent communication in English - both written and oral, Excellent email, video chat and video demo capabilities for best of sales over digital means. Good communication skills, both written and verbal. Perks and benefits: Opportunity- Full-time and Part-time both Opportunity to mentor and guide aspiring professionals in Data Science. Job Types: Full-time, Part-time, Permanent Schedule: Day shift Morning shift Work Location: In person,