Spyne is a rapidly growing, AI-driven company revolutionizing automotive retailing. Their solutions, powered by Generative AI, transform car visuals into premium studio visuals, enhancing dealership and marketplace engagement across the US and Europe.
| Field | Details |
|---|---|
| Company Name | Spyne |
| Position | Data Analyst Intern |
| Job ID | N/A |
| Salary (In Numbers) | Negotiable, as per your qualification/experience |
| Experience Years (In Numbers) | FRESHER |
| Location | Gurugram, India |
| Postal Code | 122001 |
| Company Website | https://www.spyne.ai/ |
Key Responsibilities
- Analyze and understand data from various angles.
- Collaborate with the Ecommerce function to create reports and dashboards.
- Conduct research and process data for optimal use.
- Maintain daily trackers and present information to leads.
- Act as a data solution point for the Production team.
- Meet daily data targets as assigned by managers.
- Streamline data research using Google Sheets and Excel.
Qualifications
- University graduate with a degree in business/marketing or a related field (BBA, MBA, B.Com, etc.).
Requirements
- A data-driven mindset and analytics aptitude.
- Basic knowledge of MS Excel and Google Sheets.
- Strong academic performance and a passion for data analysis.
- Basic understanding of tools like Python, R, SQL, and data visualization concepts.
- Attention to detail and problem-solving skills.
- Effective communication and eagerness to work in a fast-paced environment.
- Understanding of the B2B sales cycle and data research.
Skills
- Data Analysis
- MS Excel & Google Sheets
- Problem-Solving
- Communication Skills
- Programming Languages (Python, R, SQL)
Important Questions and Answers
Q: What is the importance of using dashboards in data analysis?
A: Dashboards provide a visual summary of data, enabling quick insights and better decision-making.Q: What function in MS Excel helps to remove duplicate rows?
A: The “Remove Duplicates” feature helps eliminate duplicate rows effectively.Q: Can you explain the difference between primary and secondary data?
A: Primary data is collected firsthand for specific purposes, while secondary data is pre-existing and gathered for other research.Q: How would you handle large datasets in Google Sheets?
A: I would use filters, pivot tables, and conditional formatting to organize and analyze large datasets efficiently.Q: Why is attention to detail important in data analysis?
A: Attention to detail ensures data accuracy and reliability, preventing errors that could impact outcomes.
Disclaimer: The recruitment information provided above is for informational purposes only. This information has been sourced from the official website of the organisation. Read all the job information on this page, then click “Apply Now” to be redirected to the official website. Before submitting the application, double-check the information you’ve provided. We do not guarantee recruitment. Recruitment is conducted in accordance with the official process of the company. We do not charge any fees for providing this job information.