Data Analytics - Internship

About the internship:Selected intern's day-to-day responsibilities include:

1. Collecting and interpreting data from various sources

2. Working alongside teams within the business or the management team to establish business needs

3. Defining new data collection and analysis processes

4. Developing reports and visualizations to effectively communicate data-driven insights to others in the organization

5. Performing data profiling to identify and understand anomalies

6. Identifying patterns and trends in data setsWho can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 9th Oct'26 and 13th Nov'26are available for duration of 3 monthsare from Secunderabad onlyhave relevant skills and interests* Women wanting to start/restart their career can also apply.Stipend:INR₹ 40,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Python, SQL, Data Analytics, MS-Excel, Data Science, Power BI and TableauAbout Company:After 5 successful years in the apparel industry, we are embarking on an exciting new chapter with the launch of Chikku Pikku, a premium, fun, and comfortable kids' apparel brand. Our mission is to blend high-quality craftsmanship with playful designs that kids love and parents trust. As we expand our footprint into the digital and e-commerce space, we are looking for creative, energetic, and storytelling-driven individuals to help us build our online community from the ground up. At Chikku Pikku, you won't just be an intern; you'll be a core part of a brand launch team, gaining hands-on experience in how a fashion brand scales online.

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Collecting and interpreting data from various sources

2. Working alongside teams within the business or the management team to establish business needs

3. Defining new data collection and analysis processes

4. Developing reports and visualizations to effectively communicate data-driven insights to others in the organization

5. Performing data profiling to identify and understand anomalies

6. Identifying patterns and trends in data sets