Data Analytics

Data Analytics

CODING JUNIORS TECH PRIVATE LIMITED

Bengaluru
2000 per month
1 Opening(s)
Posted 5 days ago
Application endsDec 24, 2024

Job Description

About the internship Are you a data enthusiast looking to kickstart your career in a dynamic and fast-paced environment? Look no further! Join our Coding Junior company as a Data Analytics intern and unleash your potential with hands-on experience in MS-Excel, Python, SQL, Tableau, Data Science, and Power BI. Key Responsibilities: 1. Assist in collecting, cleaning, and analyzing data from various sources. 2. Develop and maintain data models and visualizations to support business decisions. 3. Collaborate with the team to identify trends and insights within the data. 4. Create and automate reports using advanced Excel functionalities and Python scripts. 5. Utilize SQL queries to extract and manipulate data from databases. 6. Support the implementation of data-driven projects and initiatives. 7. Present findings and recommendations to stakeholders in a clear and concise manner. Don't miss out on this opportunity to gain valuable skills and make a real impact on our company's success. Apply now and take the first step towards a rewarding career in data analytics! Who can apply Only those candidates can apply who: 1. are available for the work from home job/internship 2. can start the work from home job/internship between 9th Nov'24 and 14th Dec'24 3. are available for duration of 3 months 4. have relevant skills and interests We are a team of IIT, BHU, and IIM Ahmedabad graduates working in the education technology sector. Before this, we have already co-founded a bunch of companies. Coding Junior is a Delhi and Singapore-based startup aiming to help educators teach with the help of our software.

Job Skills

Data Analytics
Data Science
MS-Excel
Power BI
Python
SQL
Tableau

Job Overview

Date Posted
November 10, 2024
Location
Bengaluru
Offered Salary

2000 INR per month

Expiration date
December 24, 2024
Experience
0 To 3 Years
Qualification
Bachelor of Science in Computer Science