- Location
- BENGALURU, Karnātaka, India
- Workplace
- Onsite
- Type
- Full-time
- Department
- Marketing
- Seniority
- Mid
- Source
- Recruitee
Description
Job Description: CRM & Growth Associate
Experience: 1–3 Years
Location: Bangalore (In Office)
Tools: CleverTap, GA4, SQL, AppsFlyer/Branch (Attribution), Cpaas platforms such as gupshup/karix
Role Over
viewWe are looking for two data-driven CRM & Growth Associates to join our marketing team. You will be responsible for the end-to-end execution of retention strategies, using automated lifecycle journeys to drive repeat behavior and minimize churn. Whether it’s building a complex multi-step journey in CleverTap or pulling raw data via SQL to find your next growth lever, you’ll be at the heart of our customer's post-install experiece
Key Responsibilites
Lifecycle Management: Design, deploy, and optimize cross-channel campaigns (Push, Email, In-app, SMS, and WhatsApp) using CleverTap.
Growth Experimentation: Run A/B and multivariate tests on subject lines, creative assets, and journey flows to improve CTRs and Conversion Rates
Attribution & Analytics: Track user journeys from acquisition to retention using GA4 and attribution tools (e.g., AppsFlyer/Branch) to identify high-value cohorts.
Data Analysis: Write basic to intermediate SQL queries to segment users, analyze campaign performance, and generate actionable insights without waiting for the BI Team.
Retention Strategy: Work on churn prediction models and win-back loops to increase the Lifetime Value (LTV) of our user base.
Collaboration: Coordinate with Design and Content teams to ensure brand-consistent messaging that resonates with specific user segments
Core Skills
Experience: 1–3 years in a CRM, Retention, or Growth Marketing role (B2C/E-commerce/Fintech preferred)
Tool Proficiency: Hands-on experience with CleverTap (Journeys, Segments, Liquid tags) is a must.
Analytical Mindset: Comfortable navigating GA4 dashboards and understanding attribution models.
Technical Skills: Ability to write SQL queries (SELECT, JOIN, WHERE) to pull and filter user data.
Curiosity: A natural "tinkerer" who looks at a drop in the funnel and wants to find out why it happened.