Data Analyst – AI & Business Automation
About the RoleWe are looking for a highly analytical, tech-savvy, and AI-first Data Analyst who can turn business data into actionable insights, build intelligent tools, and automate business decisions.
This is not a traditional reporting or dashboard role. We are looking for someone who can combine data analytics, SQL, AI, and automation to build systems that help the business make faster, smarter, and more accurate decisions.
You will work closely with the founders and functional teams across Growth, Sales, Supply Chain, Operations, and Finance.
Key Responsibilities1. Data Analytics & Business Intelligence
- Analyse large datasets across sales, marketing, inventory, supply chain, and finance.
- Build automated dashboards and real-time business performance trackers.
- Identify trends, inefficiencies, growth opportunities, and actionable insights.
- Establish reliable data pipelines and a single source of truth for key business metrics.2. AI Tools & Business Automation
- Build AI-powered tools and internal applications to automate repetitive business processes.
- Leverage AI tools, APIs, and automation platforms to improve team productivity.
- Develop automated alerts, recommendations, and decision-support systems.
- Continuously explore emerging AI technologies and implement practical business use cases.3. SQL, Data Engineering & Integrations
- Write advanced SQL queries to extract, transform, and analyse data.
- Integrate data from multiple platforms, APIs, databases, and spreadsheets.
- Build and maintain automated data pipelines with minimal manual intervention.
- Ensure data accuracy, consistency, and reliability across reporting systems.4. Business Decision Automation
- Work with business teams to identify decisions that can be automated using data.
- Build tools for demand forecasting, inventory planning, sales performance, and marketing efficiency.
- Develop predictive models and exception-based reporting to help teams act proactively.
- Translate complex business problems into simple, scalable, technology-driven solutions.Required Skills
- Strong SQL proficiency – Advanced querying, joins, aggregations, and data modelling.
- Python – Data analysis, automation, API integrations, and tool development.
- AI & LLMs – Hands-on experience with ChatGPT, Claude, Gemini, AI APIs, and AI-assisted development tools.
- Automation & Tool Building – Ability to independently build internal tools, workflows, and lightweight applications.
- BI & Visualisation – Power BI, Looker Studio, Metabase, or similar tools.
- Data Integration – Experience working with APIs, databases, Google Sheets, and multiple data sources.
- Business Acumen – Ability to understand business problems and translate data into actionable decisions.What We Are Looking For
- Someone who builds solutions, not just reports.
- An AI-first thinker who constantly experiments with new technologies.
- Strong problem-solving ability and curiosity to understand how businesses operate.
- Ability to independently take a problem from identification to a working solution.
- Comfortable working in a fast-paced startup environment with high ownership.
- Someone who believes if a task is repetitive, there should be a way to automate it.What Success Looks LikeWithin the first 90 days, we expect you to:
- Understand our business data ecosystem and establish reliable reporting for critical business metrics.
- Automate at least 3–5 high-impact manual reporting or operational workflows.
- Build functional AI-powered tools that improve productivity or decision-making.
- Help business teams move from manual data analysis to proactive, data-driven decisions.Why Join Indian Snack House?At Indian Snack House, we are building one of India's most exciting South Indian sweets and snacks brands.
With operations across D2C, Swiggy, Zomato, Quick Commerce, and other emerging channels, we generate significant data every day.
You will have the opportunity to work directly with the founders, solve real business problems, and build the AI and data infrastructure that powers our next phase of growth.
We are not looking for someone who simply tells us what happened. We want someone who builds systems that tell us what to do next.