Analytics Engineer

About the Role

• Deliver analytical solutions and actionable insights to solve business problems across Sales, Sales Operations, Marketing, Product Analytics, and Revenue.

• Build and enhance the business intelligence layer integrated with our in-house CRM (Shine), enabling automated reporting and insights for Marketing, Sales, and Operations teams.

• Develop analytical models to identify key business drivers and uncover opportunities to improve marketing conversions, learner success, workforce productivity, and operational efficiency.

• Design and automate data-driven interventions to accelerate business growth.

• Support A/B testing and experimentation with Product and Sales teams to improve lead conversion and business performance.

• Perform ad-hoc analysis to answer business questions, identify improvement opportunities, and support strategic decision-making.

Requirements

• 0-2 Years of experience in Analytics

• Degree in BTech or MCA

• Strong analytical and problem-solving skills with the ability to translate data into actionable business recommendations.

• Good hands-on experience with Python and SQL.

• Experience with at least one BI tool such as Tableau or Power BI or Metabase. Strong data visualization and storytelling skills.

• Basic understanding of Large Language Models (LLMs) and Generative AI concepts.

• Exposure to AI agent frameworks such as LangGraph, LangChain, OpenAI SDK, or similar is preferred.

• Familiarity with APIs, AI tool integrations, or MCP (Model Context Protocol) concepts is a plus.

• Eagerness to learn and work on AI-powered analytics solutions.