Hybrid Acadia Academy - Analyst Intern Acadia Academy - Analyst Intern with verification

Job DetailsJob LocationIndia - India, State/ProvinceRemote TypeFully RemoteDescription

• Job Requisition: Analyst Intern**
• About Acadia:**

Acadia is a dynamic and innovative agency committed to delivering top-notch analytics solutions to a diverse clientele. Our culture fosters learning and growth, making us a leading choice for aspiring analytics professionals.

• Position:** Analyst Intern
• Location:** India - Fully Remote
• Duration:** 4 months
• Remuneration:** INR 30,000/month during the internship
• Requirements:**
• Strong analytical and problem-solving skills with a passion for independent learning and development.
• Proficiency in MS Excel/Google Sheets, MS PowerPoint/Google Slides, SQL, and any dashboarding tool.
• 0-2 years of work experience in an analytical discipline or relevant project experience demonstrating analytical processes.
• Bachelor's degree in Engineering, Mathematics, or a similar quantitative field.
• Work Timings:**
• Month 1: 12 PM - 9 PM IST
• Month 2: 1 PM - 10 PM IST
• Month 3: 2 PM - 11 PM IST
• Month 4: 3 PM - 12 AM IST
• If hired permanently: 3 PM - 12 AM IST

Note: You are expected to bring your own device to work.For further rounds in the hiring process you will be contacted through emails. Kindly keep an eye on your inbox/spam folder.Join us at Acadia for a transformative internship experience where you will gain hands-on exposure to analytics while working with industry leaders. Successful completion may lead to a permanent position as an Associate Data Analyst.QualificationsPlease submit you resume in English.

• Strong Analytical & Problem-solving skills and has a strong desire to independently learn and develop.
• Proficiency in MS Excel/Google Sheets, MS Powerpoint/Google Slides, SQL and any dashboarding tool
• 0-2 Years of Work Experience in some form of Analytical Discipline or enough projects with substantial work depicting Analytical process
• Bachelors degree in Engineering, Mathematics or similar quantitative field