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Mumbai, India
2026-06-09
Supportstraw Technologies Private Limited
South Asia
AI, Data Analytics & Automation Intern
Role Description
**Location:** Ghatkopar West, Mumbai**Work Mode:** Hybrid Work Mode (4 Days In-Office \+ 2 Days Remote)
**Shift Timing:** 10:00 AM - 07:00 PM IST**Schedule:** 6 days a week (Monday to Saturday)**Stipend:** ₹6,000 per month \| PPO opportunity based on performance
**About the Company**
Datastraw Technologies works with growing D2C and e-commerce brands to improve customer experience, streamline operations, and solve business challenges using technology, analytics, and automation. Our team focuses on building practical solutions that help businesses work more efficiently and scale effectively.
**About the Role**
We are looking for a motivated and curious intern who has an interest in technology, data, and problem-solving. In this role, you will get the opportunity to work on real business projects involving dashboards, workflow automation, system integrations, data analysis, and internal tools. This is a hands-on learning opportunity where you'll work closely with experienced team members, gain exposure to modern tools and technologies, and understand how technology can be used to improve business operations. If you enjoy learning new things, exploring technology, and solving practical problems, this role will provide valuable industry experience and professional growth.
**Key Responsibilities*** Build and maintain ETL pipelines to extract, transform, and load data from APIs, databases, and third-party platforms into structured datasets for analytics, reporting, and business insights.
* Build dashboards and reports in Looker Studio or Power BI to track key business metrics and support decision-making.
* Set up and improve automations to streamline workflows and reduce manual tasks.
* Build internal tools and AI-powered workflows using platforms like n8n.
* Work on full-stack features using React or Vue with Supabase as the backend.
* Identify trends and insights from data to support business growth and operations.
* Manage assigned projects through planning, development, testing, and deployment.
* Keep project and data documentation up to date while maintaining data quality and consistency.
**Requirements*** Experience working on academic, personal, or internship projects related to data, analytics, or technology.
* Basic understanding of SQL, databases, ETL pipelines, and data workflows.
* Familiar with BI tools like Looker Studio or Power BI
* Basic understanding of APIs, webhooks, and third-party integrations.
* Familiarity with at least one programming language such as JavaScript or Python, along with a strong willingness to learn and adapt quickly.
* Comfortable using AI tools such as ChatGPT and Claude to learn, research, and solve problems.
* Ability to identify issues, troubleshoot problems, and find practical solutions.
* Ability to understand business requirements and translate them into practical solutions.
**Good to have*** Knowledge of automation tools such as n8n, Make, Zapier, or similar platforms.
* Basic knowledge of React, Vue, or related frontend technologies.
* Basic understanding of data platforms and tools such as BigQuery, Snowflake, dbt, or Airflow.
* Hands-on projects that demonstrate your interest in technology, data, or software development.
* Exposure to data analysis and dashboarding tools such as Looker Studio or Power BI.
* Understanding of D2C or e-commerce operations and key business metrics is a plus.
* Experience working on personal projects that demonstrate initiative and problem-solving skills.
**Tech Stack:** Looker Studio, Power BI, Google Sheets, Excel, React/Vue, Supabase, PostgreSQL, REST APIs, Webhooks, ETL Pipelines, n8n, and modern AI-assisted tools.
**Why Join Datastraw?*** Collaborate with leadership to solve real business challenges using AI and automation.
* Explore and work with modern technologies across data, AI, and automation.
* Be part of a collaborative, fast-paced, and learning-focused team.
* Opportunity to earn a Pre-Placement Offer (PPO) based on performance.