About AiSensy
AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Skullcandy, Vivo, Rentomojo, Physicswallah, Cosco grow their revenues via WhatsApp.
- Enabling 210,000+ Businesses with WhatsApp Engagement & Marketing
- 800 Crores + WhatsApp 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 (WBR) and monthly business review packs (MBR).
Requirements (must-have)
- 36 years experience in RevOps / 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 (HubSpot/LeadSquared/Salesforce/Pipedrive)
- Experience in subscription billing / SaaS metrics
- Experience in WhatsApp, 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
