Manager- Growth (Analytics)

About the Role

You will own conversion and real-time growth levers for Swiggy Food across India Next — 700+ Tier 2/3 cities — with a headline goal of +2pp conversion by March exit .

The India Next Growth team drives OPD, unit economics and competitive response for Swiggy's fastest-growing city cohort. This role sits at the centre of that charter: you will run city-level conversion programs, manage discount and delivery-fee levers in real time, turn Zomato intelligence into counter-moves, and ship new growth experiments. You will also lead Gen-AI adoption across the team so insights and interventions move faster than the market.

You will work closely with city leaders (CLBHs / CHs), Product, Data Science, Business Finance, Engineering and Ops.

Location: Bangalore · Team: India Next Growth · Level: Manager (open to Sr. Associate / Assoc. Manager for strong profiles)

Key Responsibilities

1. Conversions, delivery-fee revenue & projects (30%)

Own the +2pp conversion goal end to end, grow delivery-fee revenue without hurting conversion, and deliver the charter's key projects.

KPIs: +2pp conversion by March exit · M2O / F2M · cancellation, RDC and O2A rates · BF / LN slot conversion · delivery-fee revenue per order · projects delivered on time and at impact

• Run Project Compass : set city-level conversion goals, identify drivers and land interventions with city teams.
• Partner with Product on conversion levers — Search, payment options (UPI / COD) and COD demand-shaping.
• Track and lift Swiggy One penetration and its conversion impact in India Next cities.
• Fix CX and ops-stress gaps: PSLA vs ASLA, WBS / GD / last-mile capping and long-tail city serviceability planning.
• Improve the funnel — M2O, F2M, null-search and menu relevance (FVO).
• Cut cancellations, RDC and O2A through COD controls and item stockout / availability fixes.
• Grow breakfast and late-night slot conversion.
• Delivery-fee revenue: grow delivery-fee revenue per order through fee constructs, rain / surge / platform-fee realisation and city-level fee tiers, balanced against conversion impact.
• Projects: own cross-functional growth projects end to end with Product, Engineering and Data Science, from scoping to rollout across cities.

2. Discount strengthening & real-time interventions (30%)

Get more incremental orders from every rupee of discount and delivery-fee spend.

KPIs: iOPD and ₹ per iOPD efficiency · delivery-fee / free-del cost vs budget · CPiO

• Deploy non-discount and NAT strengthening on the right restaurants to arrest churn and counter competitor aggression.
• Own delivery-fee and free-delivery strategy and configs: rain fee, platform fee, Black Zones and city free-del requests.
• Plan surges and ship fast-turnaround growth fixes for city requests.
• Manage stress events — supply-state changes, LD optimisation and GD configs.
• Run real-time pricing responses to competitive moves.

3. Competitive intelligence (10%)

Turn Zomato scraping into decisions city teams act on.

KPIs: D-Score coverage and cadence · adoption of CI-led actions by city teams

• Own D-Score coverage and cadence, and use it to steer city discounting.
• Publish delivery-fee, D-Score and market-share reads on a regular email cadence.
• Translate CI into pricing and strengthening counter-strategies.

4. New growth ideas (20%)

Find the next Black Zones.

KPIs: iOPD from new ideas · experiments shipped · win-rate and scale-up

• Spot growth opportunities across cities and categories.
• Design and run pilots fast; kill losers and scale winners.
• Keep a continuous pipeline of city-level growth constructs.

5. Gen-AI for growth (10%)

Make the team faster with AI.

KPIs: AI use-cases live · AI-led insights · hours saved · automation coverage

• Lead Gen-AI use-cases across all growth charters.
• Build self-serve dashboards and RCA copilots.
• Upskill the team and institutionalise AI SOPs.

What We're Looking For

Must-have

• Advanced SQL and Excel (mandatory) — you pull, model and read data yourself, without depending on an analyst.
• Hands-on Gen-AI (mandatory) — you have built LLM workflows, copilots or AI-led automations, not just used chat tools.
• 3–6 years in growth, category, strategy or analytics at a consumer internet, quick-commerce, food-tech or marketplace company.
• Ownership of a conversion, pricing or discount lever with measurable impact.
• Experiment design — A/B tests, pilots, incrementality reads.
• Bias to action: ships fixes in hours or days, not quarters, under real-time pressure.
• Clear communication with city leaders and senior stakeholders.

Good to have

• Python, dashboarding (Tableau / Looker / Streamlit) or automation experience.
• Experience with Tier 2/3 or Bharat markets.
• Exposure to competitive intelligence, pricing or delivery-fee strategy.
• Tier-1 engineering / MBA background, or an equivalent track record.