Role Overview

We are looking for a highly analytical and problem-solving oriented Business Analyst who can partner with cross-functional teams to drive data-backed decision making. The role involves translating business problems into analytical frameworks, generating actionable insights, and ensuring accurate measurement of product and business performance.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and actionable insights that influence product and business strategy
• Partner with Product Managers, Engineering, Marketing, and Business teams to understand key problems and define data requirements
• Define success metrics and measurement frameworks for new product features and initiatives
• Validate event instrumentation and ensure accuracy and completeness of data tracking for new feature launches
• Build dashboards, reports, and analytical deep dives to track performance across user lifecycle and product funnels
• Proactively identify growth opportunities, risks, and optimization levers through hypothesis-driven analysis
• Communicate insights clearly through data storytelling, visualizations, and structured recommendations
• Support experimentation culture by defining experiment metrics, evaluating results, and enabling decision making

Required Skills & Qualifications

• Strong analytical thinking and structured problem-solving ability
• Hands-on experience working with relational databases and writing complex SQL queries
• Good understanding of data modelling, data validation, and metric definitions
• Proficiency in Excel / Google Sheets for exploratory analysis and business modelling
• Experience building dashboards using BI tools (e.g., Tableau, Power BI, Looker, etc.)
• Strong stakeholder management and ability to work independently in a fast-paced environment
• Excellent communication skills with the ability to translate data insights into business impact

Good to Have

• Experience in Product Analytics tools such as Amplitude, Mixpanel, Google Analytics, etc.
• Exposure to experimentation frameworks (A/B testing)
• Basic understanding of scripting languages such as Python or R
• Experience working in consumer tech / edtech / subscription businesses