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* Role: | Data Analyst Intern |
* Salary: | 3.5-7.5LPA(Expected) |
* Location: | Bangalore |
* Experience: | Freshers |
* Education | BE/B-Tech/Bachelor’s Degree |
* Batch | Recent-Batches |
Table of Contents
NinjaCart Off-Campus Drive 2024 Hiring Data Analyst Intern- Bachelor’s Degree:
The detailed eligibility Criteria and application process are mentioned below.

Job Description
About Team:
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As an analytics intern, you will get to work on various projects that involve coding in Python, SQL, business analysis, visualization, big data tech stack, and more. You will use tools like Redash, Power BI, Excel, Google Sheets, and others to analyze data, create dashboards, and generate insights that help us improve our reseller and retailer platforms, cross-border trade and other business/ product verticals . You will also get to learn from our experienced mentors and collaborate with our cross-functional teams.
Responsibilities:
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– A strong interest in data analytics and a passion for learning new skills
– A basic knowledge of Python, SQL, and Excel
– A good understanding of statistics and data visualization
– A problem-solving mindset and a keen attention to detail
– A good communication and presentation skills
– A minimum availability of 4 months
Additional Information
At Ninjacart, we are creating a workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.
We are a highly motivated, results driven community, who focus on proactive approaches to problem solving. We cherish entrepreneurial spirit and provide significant operating autonomy to senior leaders. There are ample opportunities and challenges to be solved at scale and in real-time.
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How to Apply For Company Jobs 202 4 – (Please Apply before the Expire date of the link)
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