Revenue operations

About Ai Sensy

AiSensy is a Whats App based Marketing & Engagement platform helping businesses like Skullcandy, Vivo, Rentomojo, Physicswallah, Cosco grow their revenues via Whats App.

Enabling 210,000+ Businesses with Whats App Engagement & Marketing
800 Crores + Whats App Messages done between Businesses and Users via AiSensy per year
Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more
High Impact as Businesses drive 25-80% Revenues using AiSensy Platform

About the role
We're looking for a  Revenue Operations Analyst (Customer Analytics)  to own our  customer growth intelligence engine . Meta sends us large monthly billing data (country-wise marketing & utility message counts per customer). Your job is to convert this data + CRM + payments into  clean customer-level reporting , run  cohort and channel analysis , and deliver  actionable conclusions  on where we should focus (partner vs sales vs self-serve, high-retention cohorts, expansion segments, churn risks).
This role is ideal for someone who loves  messy data → clean insights → business decisions .

What you'll own

1) Build the 'single source of truth' for customer growth
Create and maintain a  Customer-Month dataset  that unifies:
Meta billing (marketing & utility message counts, country-wise)
Customer identifiers (account IDs, orgs)
CRM fields (lead source / partner / owner / pipeline)
Payments/subscription (plan, MRR/ARR, renewals, overdue, cancellations)
Define and document core metrics:
Active customers, Net adds, Reactivation, Churn, ARPU, NRR/GRR, Expansion/Contraction, CAC proxy by channel (if available).

2) Cohort analysis & retention/expansion insights
Track retention and expansion using:
Active usage cohorts (message volume)
Revenue cohorts (MRR/NRR/GRR)
Identify drivers behind:
High-retention/high-expansion cohorts
Early churn cohorts and leading indicators

3) Channel & attribution tagging
Create a robust tagging system for acquisition source:
Work with Sales/Partnerships/Marketing to improve hygiene:
Ensure consistent tagging in CRM
Create rules to resolve missing/dirty data

4) Dashboards & executive reporting
Build a simple, trusted reporting layer (Google Sheets + BI tool preferred):
Customer growth dashboard
Cohorts dashboard
Channel performance dashboard
Geography/country-wise patterns (where relevant)
Own weekly business review packs (W ) and monthly business review packs (M ).

Requirements (must-have)
3–6 years experience in Rev Ops / Growth Analytics / BI / Business Analytics in B2B SaaS
Strong in Excel/Google Sheets (pivots, formulas, data cleaning)
Strong in SQL (or ability to learn fast if currently spreadsheet-heavy)
Proven experience with cohort analysis, retention/churn, expansion (NRR/GRR)
Comfort working with messy real-world data (exports, invoices, multiple sources)
Ability to present insights clearly to leadership and revenue teams

Good-to-have (big plus)
Python (pandas) for automation / parsing exports

Experience with Metabase / Looker / Power BI / Tableau
Familiarity with CRM systems (Hub Spot/Lead Squared/Salesforce/Pipedrive)
Experience in subscription billing / SaaS metrics
Experience in Whats App, messaging, communications, or usage-based billing businesses

What we value
High ownership: you don't just report, you drive decisions
Clarity: simple metrics, clear definitions, consistent reporting
Speed: ship v1 fast, iterate weekly
Business empathy: analysis that helps Sales/CS/Partnerships act