Data Analyst Marketing - Internship; to PPO

Position: Data Analyst (& Marketing) - Internship (to PPO)
Location: Bengaluru

About Kael

Kael is an AI life coach built for people dealing with anxiety, relationship patterns, burnout, and self-sabotage. Unlike generic AI tools, Kael builds a living profile of the user across sessions, identifying behavioral scripts, triggers, and blind spots. Launched on iOS in April 2026, we're in active growth mode and looking for sharp people to help scale.

Role Overview

We're looking for a data analyst who can take their skills into a performance marketing context. You're someone who lives in spreadsheets and dashboard, but you don't just report numbers, you use them to drive decisions on real ad campaigns.
You'll be responsible for tracking, analyzing, and interpreting marketing and product data, and then directly applying those insights to Meta ad campaigns. The data is the job. The ads are what you do with it.

Key Responsibilities

Own the data layer for Kael's growth — build and maintain dashboards tracking funnel metrics (installs, trials, conversions, churn, LTV, ROAS)
Analyze Meta ad performance daily — CTR, CPM, CPA, Thumb-Stop Ratio — identify patterns and make optimization recommendations
Pull and query production data from Supabase to understand user behavior, drop-off points, and conversion signals
Translate data findings into campaign decisions — which creatives to scale, which audiences to cut, where the funnel is leaking
Design and analyze A/B tests across ad creative, audiences, and copy
Build clean, simple reports that communicate what's happening and why
Research competitor positioning and benchmark our metrics against industry standards

What We're Looking For

Strong foundation in data analysis, SQL is a must, comfort with Supabase/Postgres preferred
Proficiency in Excel or Google Sheets, pivot tables, formulas, basic modeling
Analytical thinker who connects data to decisions, not just data to slides
Some exposure to Meta Ads or digital marketing metrics is a plus, but we'll teach the ads side if your data skills are sharp
Ability to work independently, move fast, and communicate findings clearly
Bonus: experience with mobile app analytics (Appsflyer, App Store Connect, Revenue Cat)

Tools You'll Work With

Supabase
· Meta Ads Manager
· Appsflyer
· App Store Connect
· Revenue Cat  
· One Signal

What You Get

Stipend up to ₹30,000/month based on experience
Direct mentorship from the founder across data, growth, and strategy
Real ownership, your analysis will directly influence live ad spend and product decisions
Pre-Placement Offer (PPO) based on performance
Front-row seat to building a consumer AI product from early stage

How to Apply

Send your resume + 2–3 lines on a data problem you've solved (any context — academic, freelance, personal project) to