Business Analyst - Growth & Revenue

Snabbit; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Snabbit, India's pioneers in rapid home-services delivery, seeks a data/business analyst to own retention, lifecycle metrics, and growth analytics. You will define and track end-to-end retention across customer lifecycle, build forecasting models for orders and active base, and translate data into actionable guidance for product, marketing, and pricing teams.

The ideal candidate has 4–6 years of experience, expert SQL, proficiency in cohort analysis, and a proven ability to communicate insights

Qualifications

• 4-6 years as a data/business analyst with direct ownership of a retention, lifecycle, or growth metric.
• Projections & modelling: built forecast, cohort-retention, or elasticity models bottom-up.
• Advanced SQL and geo- and cohort-level analysis; able to defend metrics.
• Experience running retention/win-back interventions and post-hoc measurement.
• Strong stakeholder communication; able to present to leadership and drive alignment.

Responsibilities

• Own end-to-end retention analytics workstream and weekly reporting across lifecycle stages and the geo hierarchy.
• Own bottom-up forecast to project orders, NOV, and active base; explain variances and trajectory shifts.
• Model LTV and economics to connect early-signal behavior to downstream revenue; size breakeven etc.
• Lead geo-level diagnosis of retention and frequency shifts and translate into prioritized actions.
• Own periodic retention/frequency projections and reconcile geo rollups vs. benchmarks.
• Design and run win-back and lifecycle retention interventions and measure impact.
• Partner with pricing to fold retention signals into lifecycle pricing and present findings to leadership.

Skills

Retention analytics

Forecasting models

SQL

Cohort analysis

Stakeholder comms

Lifecycle growth

Job description

Snabbit is India's first Quick-Service App delivering home services in just 10 minutes through a hyperlocal network of trained and verified professionals. Backed by Elevation Capital, Nexus Venture Partners, and Lightspeed, Snabbit is redefining the home services space by combining speed, quality, and trust.

Founded by Aayush Agarwal, Snabbit is on a mission to make home services as seamless and instant as ordering groceries. We've already completed thousands of jobs with exceptional customer satisfaction — and we're just getting started.

What You'll Do

• Own the retention & frequency analytics workstream end-to-end metric definition, weekly reporting, and the story behind the numbers across customer lifecycle stages and the city/region/cluster/hood geo hierarchy.
• Own the bottom up forecast to project orders / NOV / active base from cohort inflow × retention × frequency × AOV; publish variance to actuals and call trajectory shifts before they hit the topline.
• Model LTV and pass/pack economics to connect early-signal behavior to downstream LTV; size breakeven redemption, cannibalization vs. incrementality, and net-revenue impact of passes and promos.
• Lead geo-level diagnosis of retention and frequency shifts: isolate which cities, clusters, or hoods are driving movement, and turn that into a prioritized action list, not just a chart.
• Own periodic retention/frequency projections, reconciling geo-level rollups against confirmed benchmarks.
• Design and run win-back and lifecycle retention interventions for churned or lapsed users segmentation, targeting logic, and measuring what actually moved the number.
• Partner with the pricing team to fold retention/frequency signals into the lifecycle pricing grid, and present findings and recommendations directly to leadership.

What You Bring

• 4-6 years as a data/business analyst with direct ownership of a retention, lifecycle, or growth metric, ideally in a consumer, marketplace, or on-demand business.
• Projections & modeling depth, you've personally built forecast, cohort-retention, or elasticity models bottom-up from drivers (not top-down growth rates), and can walk through the assumptions, the sensitivities, and where the model breaks
• Advanced SQL and a track record of turning geo - and cohort-level analysis into decisions, not just dashboards. Comfortable defining metrics from scratch and defending them under scrutiny.
• Experience running or designing retention/win-back interventions, from segmentation through post-hoc measurement.
• Strong stakeholder communication able to present directly to leadership and drive alignment across pricing, ops, and marketing.