Senior Analytics Engineer

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Job Description

About the Role

• We are building AI-powered analytics solutions that help our Marketing, Sales, Operations, Finance, and HR teams make faster and better decisions.
• As a Senior Analytics Engineer, you will be a hands-on Individual Contributor responsible for building analytics datasets, maintaining data pipelines, and developing AI-powered analyst agents. You will work closely with business stakeholders to automate insights, improve reporting, and enable conversational analytics using modern AI technologies.

Key Responsibilities
• Build and maintain analytics datasets and data pipelines that power dashboards and AI applications.
• Design and develop AI Analyst Agents capable of answering business questions and generating actionable insights.
• Work closely with business teams to understand requirements and translate them into scalable analytics solutions.
• Build and maintain scalable analytics datasets, reporting tables, business metrics, and dashboards while ensuring high standards of data quality, reliability, and performance.
• Optimize SQL queries, automate recurring analytical workflows, and contribute to continuously enhancing our AI-powered analytics platform and self-service reporting capabilities.

Qualifications

Requirements
• 2-5 years of experience in Analytics Engineering, Business Intelligence, Data Analytics, or Data Engineering.
• Degree in BTech or MCA
• Strong hands-on experience with SQL and Python. Experience working with at least one BI tool (Tableau, Power BI, Metabase, etc.).
• Experience building analytics datasets and ETL/ELT pipelines.
• Hands-on experience developing LLM-powered applications or AI agents using frameworks such as LangChain, LangGraph, OpenAI SDK, or similar.
• Strong analytical thinking and business problem-solving skills. Ability to work independently and collaborate with cross-functional stakeholders.
• Good to have: Familiarity with MCP (Model Context Protocol) tools and AI integrations.