Role: Lead — Marketing Analytics & Attribution Reports to: Chief Marketing Officer

Location:
Noida

Experience:
6–10 years, with at least 3 in performance marketing analytics Team: Individual contributor initially, building a team as the function scales The Role: We spend ₹5 crore a month across 40 consumer lending brands and cannot currently state cost per disbursal by channel. Each NBFC partner runs its own CRM. Conversion data does not flow back to the ad platforms. This role builds the measurement layer that makes marketing spend accountable, and owns the number the function is judged on. What You Will Own
• The marketing data layer ingesting partner CRM data into a single warehouse with a normalised schema, so performance is comparable across brands and lenders.
• Server-side tracking and offline conversion imports, so Google and Meta optimise toward funded loans rather than form fills.
• Cost per disbursal by channel, brand, lender and geography — the primary commercial metric for the function.
• Approval rate and repeat-borrower analysis by acquisition source, including cross-brand application overlap reporting.
• Dashboards that marketing,



finance and the credit team all trust and use. What We Are Looking For
• Deep experience with GA4, server-side GTM, and conversion APIs for Google and Meta.
• SQL fluency and hands-on work with a cloud warehouse — BigQuery, Snowflake or equivalent.
• Experience building attribution where the conversion event sits days downstream of the click, ideally in lending, insurance or another considered-purchase category.
• Comfort working with engineering teams to get data out of systems you do not control.
• A dashboard-sceptical mindset — someone who validates numbers rather than reporting them. Nice to Have
• Lending, NBFC or fintech background, and familiarity with loan funnel stages through to disbursal. Success at Six Months
• A single source of truth for marketing performance across all brands and lenders.
• Cost per disbursal available by channel and brand, and trusted by finance.
• Conversion data flowing back to the ad platforms, with campaigns optimising to disbursal.

📌 Lead Marketing Analytics (Noida)
🏢 Fintech Cloud
📍 Noida