Marketing Analytics Lead

Bridgeway Power; New Delhi; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Bridgeway Power in Delhi seeks a performance marketing analytics professional to turn ad spend, lead funnels, and campaign data into decisions by Monday morning. You’ll own dashboards, attribution, and weekly readouts that guide where the budget goes.

Requirements: 2+ years in performance marketing analytics or BI; fluent in GA4 and Meta Ads Manager; proficient in Looker or Metabase or SQL; able to explain a regression to a non-analyst founder; skeptical of round numbers.

Qualifications

• 2+ years in performance marketing analytics, growth, or BI.
• Fluent in GA4 and Meta Ads Manager.
• Comfortable explaining a regression to a non-analyst founder.

Responsibilities

• Own performance dashboards across Meta, Google, and offline channels
• Build attribution models that survive scrutiny - not vanity metrics
• Run weekly campaign reviews and recommend reallocations
• Surface waste early: dead creatives, low-intent geographies, broken funnels
• Partner with the content and growth teams on experiment design

Skills

Performance analytics

Growth mindset

BI

GA4

Meta Ads Manager

SQL

Tools

Looker

Metabase

Job description

Job Summary

Turn ad spend, lead funnels, and campaign data into decisions the team can act on by Monday morning. You will own the dashboards, the attribution, and the weekly readouts that decide where the next rupee goes.

Responsibilities

• Own performance dashboards across Meta, Google, and offline channels
• Build attribution models that survive scrutiny - not vanity metrics
• Run weekly campaign reviews and recommend reallocations
• Surface waste early: dead creatives, low-intent geographies, broken funnels
• Partner with the content and growth teams on experiment design

Requirements

• 2+ years in performance marketing analytics, growth, or BI
• Fluent in GA4, Meta Ads Manager, and either Looker, Metabase, or SQL
• Comfortable explaining a regression to a non-analyst founder
• Suspicious of round numbers and last-click attribution
• Bias toward written, decision-ready summaries over slide decks