Data & Analytics Engineer (BI & Automation)

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)Salary: 25,000 - 30,000 Per Month About the Company At Datastraw Technologies, we work closely with fast-growing D2C brands to help them scale in a more structured and data-driven way. From improving day-to-day operations to enhancing customer experience and building smarter decision systems, we focus on making data actually useful. By combining analytics, automation, and clean workflows, we help brands simplify complexity and make better decisions as they grow. About the Role We’re looking for a Data & Analytics Engineer who enjoys working across the full data lifecycle, from raw data ingestion to building clear, business-ready dashboards. This role is ideal for someone who likes getting hands-on with data, building reliable systems, and solving real-world problems. You’ll work across data engineering, reporting, and automation, helping teams make better decisions through clean, well-structured data. Key Responsibilities* Build and maintain scalable ETL pipelines that collect and process data from APIs, webhooks, and databases.

• Create and manage BI dashboards in Looker Studio and Power BI to help teams easily understand and use data.
• Automate data and reporting tasks to save time and reduce manual work for the team.
• Connect and integrate third-party tools via REST APIs and webhooks, ensuring smooth and reliable data exchange.
• Use AI tools and automation to simplify internal processes and improve how teams work.
• Build simple internal tools using AI and quick development methods to help teams work faster.
• Make sure data is accurate, well-managed, and properly documented across all systems.
• Work with different teams to share insights from data and support better decision-making.

Requirements* Minimum 1 year of hands-on experience in data, analytics, or similar roles.

• Good experience working with ETL pipelines and data workflows.
• Comfortable working with databases and basic data modeling concepts.
• Practical experience building dashboards using Looker Studio and/or Power BI.
• Hands-on experience integrating APIs, webhooks, and working with data integrations.
• Good analytical and problem-solving skills, with the ability to debug and fix issues.
• Able to work on your own and keep up in a fast-moving environment.
• Understanding of key business metrics and the logic behind effective reporting.

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

• Working knowledge of Python or other scripting languages is a plus.
• Comfortable with tools like Google BigQuery, Snowflake, dbt, or Apache Airflow.
• Understanding of core D2C / e-commerce KPIs (AOV, LTV, Conversion Rate) and their impact on business performance.
• Tech Stack : Google Sheets, Excel, Looker Studio, Power BI, REST APIs, Webhooks, PostgreSQL, Supabase, BigQuery, n8n

Why Join Datastraw?* Get the opportunity to work closely with fast-growing D2C brands.

• Enjoy high ownership and the chance to design and build systems from scratch.
• Get hands-on exposure to AI tools and modern automation workflows.
• Learn quickly in a fast-paced environment while making a real impact on the business.