Ninjacart Off Campus Hiring for Product Design Intern Role. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
Ninjacart Off Campus Hiring – Product Design Intern
| Company name | Ninjacart |
| Website | www.Ninjacart.com |
| Job Role | Product Design Intern |
| Work Location | Bangalore, Karnataka |
| Job Type | Internship |
| Experience | Freshers |
| Qualification | Recent Graduate |
| Batch | Not Mentioned |
| Package | 4 – 8 LPA(Expected) |
Job Description
Ninjacart Off Campus Hiring – Product Design Intern
Responsibilities:
- Utilize the Design Thinking approach to craft user-focused solutions.
- Develop visually engaging and user-friendly interfaces, incorporating Material Design guidelines.
- Keep abreast of emerging design trends and integrate them into your work.
- Employ tools like Framer for creating and testing design prototypes effectively.
- Adapt to the dynamic nature of a startup environment by taking initiative and delivering meaningful results.
Qualities of an Ideal Candidate:
Do you consider yourself adaptable, driven, and resourceful? If so, you might be a great fit for our team! Here’s what we’re looking for:
- Previous experience in product or UI design through internships or similar roles.
- Expertise in design software such as Figma and Framer, coupled with a strong grasp of UI/UX fundamentals.
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Ninjacart Off Campus Hiring – Data Analyst Intern 2024
| Company name | Ninjacart |
| Website | www.Ninjacart.com |
| Job Role | Data Analyst Intern 2024 |
| Work Location | Bangalore, Karnataka |
| Job Type | Internship |
| Experience | Freshers |
| Qualification | Recent Graduate |
| Batch | Not Mentioned |
| Package | 4 – 8 LPA(Expected) |
Job Description
Ninjacart Off Campus Hiring – Data Analyst Intern 2024
As an analytics intern, you will have the opportunity to work on a range of projects that include coding in Python, SQL, business analysis, data visualization, and using big data technologies. You’ll utilize tools such as Redash, Power BI, Excel, Google Sheets, and others to analyze data, create dashboards, and generate insights. These insights will support the enhancement of our reseller and retailer platforms, cross-border trade, and other business and product areas. You will also benefit from the guidance of experienced mentors and collaborate with our cross-functional teams.
Responsibilities:
- A strong interest in data analytics and a desire to learn new skills
- Basic knowledge of Python, SQL, and Excel
- A good understanding of statistics and data visualization
- A problem-solving mindset with keen attention to detail
- Good communication and presentation skills
- Availability for a minimum of 4 months
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How to Apply?
- To apply for a job, read through all information provided on the job listing page carefully.
- Look for the apply link on the job listing page, usually located somewhere on the page.
- Clicking on the apply link will take you to the company’s application portal.
- Enter your personal details and any other information requested by the company in the application portal.
- Pay close attention to the instructions provided and fill out all necessary fields accurately and completely.
- Double-check all the information provided before submitting the application.
- Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
- Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.
About Ninjacart
Ninjacart is a pioneering agritech startup based in India, revolutionizing the fresh produce supply chain through its innovative technology-driven approach. Founded in 2015, the company connects farmers directly with retailers, supermarkets, and other businesses, streamlining the distribution process to ensure fresh produce reaches its destination efficiently. By leveraging data analytics and logistics optimization, Ninjacart reduces wastage, enhances transparency, and ensures fair pricing for both farmers and consumers. This model not only boosts farmers’ income but also delivers high-quality, affordable fresh produce to end-users, marking a significant improvement in the traditional agricultural supply chain.
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