AI Analyst - Business Analytics and Product Intelligence

Emergent; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Daily Meals

Family Insurance: 3 Lakhs coverage for

Unlimited Paid Time Off

Flexible Working Hours

Job summary

Emergent is seeking an AI Analyst to own the full analytics lifecycle, from raw data exploration to production dashboards and strategic recommendations. You’ll use AI tools as force multipliers to automate repetitive work, accelerate hypothesis testing, and ship insights at startup speed.

You'll sit at the intersection of product, growth, and finance, investigating conversion funnels, building cohort retention models, and stress-testing pricing changes by day’s end.

Qualifications

• 5+ years of strong SQL proficiency with complex queries and data modelling.
• Experience with subscription/SaaS metrics: MRR, churn, cohort analysis, funnels.
• Hypothesis-driven mindset with the ability to test and iterate on insights.
• Comfort navigating evolving data infrastructure and data quality issues.
• Familiarity with product analytics tools and multi-touch attribution.
• Experience building dashboards and dashboards for non-technical stakeholders.
• Willingness to use AI assistants and agentic tools to accelerate analyses.

Responsibilities

• Own subscription and product analytics end-to-end: conversion funnels, cohort retention, churn analysis, LTV modelling, revenue tracking.
• Build and maintain production dashboards and alerting systems used daily by the team.
• Conduct deep exploratory analysis on user behavior; identify engagement patterns and drop-offs.
• Write optimized SQL against a modern data stack (BigQuery, PostgreSQL) with complex queries.
• Document schemas, metric definitions, and data quality issues for self-service by teams.
• Partner with product and engineering to define experiments and validate A/B tests.

Skills

SQL

MRR analysis

Cohort analysis

Dashboards

A/B testing

AI tooling

Data visualization

Education

Bachelor's degree in a quantitative field

Tools

BigQuery

PostgreSQL

Redash

Mixpanel

Amplitude

PostHog

Job description

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since public launch, Emergent has crossed $100M in ARR and grown to over 10M users across 190+ countries. We're backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.

We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

We're hiring builders who want ownership, speed, and impact at global scale.

About the Role:

We're looking for an AI Analyst who can own the full analytics lifecycle at a fast-scaling vibe coding platform - from raw data exploration to production dashboards to strategic recommendations. This isn't a traditional analyst role. You'll use AI tools (Claude, MCP integrations, agentic workflows) as force multipliers to automate repetitive work, accelerate hypothesis testing, and ship insights at startup speed.

You'll sit at the intersection of product, growth, and finance -investigating conversion funnels one hour, building cohort retention models the next, and stress-testing a pricing change by end of day.

What You'll Do:

• Own subscription and product analytics end-to-end: conversion funnels, cohort retention, churn analysis, LTV modeling, and revenue tracking
• Build and maintain production dashboards and alerting systems that the team relies on daily for business-critical metrics
• Conduct deep exploratory analysis on user behavior - identifying engagement patterns, diagnosing drop-offs, and quantifying the impact of product and pricing changes
• Write highly optimized SQL against a modern data stack (BigQuery, PostgreSQL), including complex CTEs, window functions, and cross-database joins
• Maintain and evolve the company's analytics knowledge base - documenting schemas, metric definitions, and known data quality issues so the team can self-serve
• Partner with product and engineering to define experiments, validate A/B tests, and ensure proper attribution across channels
• Use AI tooling (Claude, MCP servers, agentic pipelines) to automate data exploration, query generation, anomaly detection, and reporting- treating AI as a core part of your workflow, not an afterthought

Who You Are:

• 5+ years of strong SQL proficiency - you think in CTEs and window functions, you understand partitioning tradeoffs, and you instinctively validate results against multiple sources before drawing conclusions
• Experience with subscription/Saas metrics: MRR, churn, cohort analysis, conversion funnels, usage-based billing
• A hypothesis-driven mindset - you don't just pull numbers, you form a thesis, test it iteratively, and revise when the data disagrees
• Comfort with messy, evolving data infrastructure - you can navigate pipeline delays, schema inconsistencies, and incomplete data without getting stuck
• Familiarity with product analytics tools (PostHog, Mixpanel, Amplitude, or similar) and concepts like identity stitching and multi-touch attribution
• Experience building dashboards and visualizations that non-technical stakeholders actually use
• Eagerness to use AI assistants and agentic tools as part of your daily workflow - automating boilerplate, generating initial analyses, and iterating faster than a purely manual approach allows
• Strong async communication skills - you can document findings, flag issues, and propose next steps clearly enough that teammates can act without a follow-up meeting

Nice to Have:

• Experience with BigQuery, Redash, or similar BI tooling
• Familiarity with Python or dbt for data transformation
• Exposure to event-driven data models and behavioral analytics
• Comfort working directly with engineering teams on data pipeline issues
• Prior work at an early-stage startup where you built the analytics layer from scratch

Benefits and Perks:

• Daily Meals: Lunch and Dinner provided
• Family Insurance: 3 Lakhs worth of coverage for you and your family
• Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
• Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.