Data & Analytics Engineer Intern (Hybrid)

Location: Ghatkopar West, MumbaiWork Mode: Hybrid (4 days Work From Office + 2 days Work From Home)Shift Timing: 10:00 AM - 07:00 PM ISTSchedule: 6 days a week (Monday to Saturday)Stipend: 6,000 Per Month About the Company At Datastraw Technologies, we work closely with fast-growing D2C brands to help them scale in more structured, data-driven ways. As an intern, you’ll get exposure to how data is used to improve day-to-day operations, enhance customer experience, and support smarter decision-making. You’ll work alongside the team to learn how analytics, automation, and clean workflows come together to simplify complexity and help brands make better decisions as they grow. About the Role We’re looking for a Data & Analytics Intern who is eager to learn and explore the full data lifecycle, from working with raw data to supporting the creation of clear, business-ready dashboards. This role is ideal for someone who enjoys getting hands-on with data, building foundational skills, and solving real-world problems. As an intern, you’ll get exposure to data engineering, reporting, and automation, while supporting the team in making data more structured and useful for decision-making. Key Responsibilities* Assist in building and maintaining ETL pipelines from APIs, webhooks, and databases.

• Assist in creating and managing BI dashboards in Looker Studio and Power BI to help teams understand and use data.
• Assist in automating data and reporting tasks to reduce manual work.
• Assist in connecting and integrating third-party tools via REST APIs and webhooks.
• Use AI tools and automation to simplify processes and improve team workflows.
• Help build simple internal tools using AI and quick development methods to support faster team workflows.
• Ensure data is accurate, well-managed, and properly documented across systems.
• Collaborate with different teams to share data insights and support decision-making.

Requirements* Pursuing or recently completed a degree in Computer Science, Data Science, Data Analytics, Statistics, Business, or a related field

• Basic understanding of ETL pipelines and data workflows.
• Basic understanding of databases and data modeling concepts.
• Some hands-on experience with Looker Studio and/or Power BI.
• Familiarity with APIs, webhooks, and data integrations.
• Strong attention to detail and good organizational skills.
• Good analytical and problem-solving skills, with basic debugging ability.
• Ability to work in a fast-paced environment and take ownership of tasks.
• Basic understanding of business metrics and reporting logic.

Good to have?* Familiarity with AI tools and automation platforms like ChatGPT, Zapier, Make, or n8n.

• Basic knowledge of Python or other scripting languages is a plus.
• Familiarity with tools like BigQuery, Snowflake, dbt, or Apache Airflow.
• Basic understanding of D2C / e-commerce KPIs like AOV, LTV, and conversion rate.
• Tech Stack: Google Sheets, Excel, Looker Studio, Power BI, REST APIs, Webhooks, PostgreSQL, Supabase, BigQuery, n8n

Why Join Datastraw?* Hands-on experience with reporting tools and data handling

• Exposure to D2C/real-world business reporting scenarios
• Opportunity to contribute to process improvements and stakeholder engagement

Note: The job description is a general outline and subject to change based on company requirements.