Key Responsibilities

Extract, clean, and analyse data using SQL to support business and product decisions.
Build, maintain, and automate dashboards and reports for key organisational initiatives using BI and analytics tools.
Perform exploratory and diagnostic data analysis to identify trends, uncover insights, and provide actionable recommendations.
Define and track success metrics (KPIs) for product, marketing, operations, and business initiatives.
Develop data-driven hypotheses, design experiments, and measure the impact of business initiatives.
Collaborate with cross-functional teams (Product, Marketing, Operations, Clinical, and Leadership) to translate business problems into analytical solutions.
Ensure data quality, accuracy, and consistency across reporting and analytics workflows.
Identify opportunities to automate repetitive reporting and analytics processes using scripting and AI tools.

Preferred Qualifications Experience

Strong hands-on experience with SQL for data extraction, transformation, and analysis.
Experience with Mixpanel, Amplitude, Google Analytics (GA4),



or similar product analytics platforms.
Proficiency in Microsoft Excel/Google Sheets and Google Apps Script for reporting and automation.
Basic proficiency in Python, with familiarity in Pandas, NumPy, and common data structures for analysis.
Experience working with BI and dashboarding tools such as Metabase, Looker Studio, Tableau, or Power BI is a plus.
Comfortable using Agentic AI and LLM-based tools (e.g., ChatGPT, Claude, Gemini, Cursor) to improve productivity, automate workflows, and support data analysis.
Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a related quantitative field.

Our Ideal Candidate Demonstrates

High ownership and accountability, with the ability to independently drive projects from problem definition to execution.
Solid analytical and structured problem-solving skills.
Curiosity to investigate business problems using

📌 Data Analyst (Mumbai)
🏢 Amaha
📍 Mumbai