Skip to main content

Growth Lead

Experience

5-7 Years

Location

Karachi, Pakistan

Job Description:

  • Own daily, weekly, and monthly order and GMV target tracking across cities, stores, and platforms.
  • Build and maintain cohort retention models by acquisition channel, city, and user segment.
  • Track order frequency, ARPU, and LTV by cohort; translate insights into actionable interventions.
  • Lead weekly performance reviews and flag risks to monthly targets with root-cause analysis.
  • Analyze app-level user journeys: install → signup → first order → repeat, including screen-level drop-off and feature adoption.
  • Identify friction points in search, browse, cart, checkout, and payment flows.
  • Translate diagnostics into concrete product change recommendations: UI changes, default settings, journey reordering, voucher logic, recommendation inputs.
  • Partner with Product Managers on prioritization, A/B test design, and post-launch impact measurement.
  • Identify gaps in event tracking and data coverage that limit growth analytics.
  • Propose new BigQuery tables, columns, partitioning strategies, and event schemas.
  • Partner with Data Engineering on data contracts; ensure every new product feature is instrumented before launch.
  • Maintain a roadmap of data model improvements aligned with growth priorities.
  • Manage and develop the team; run weekly 1:1s, quarterly performance reviews, and skill development planning.
  • Build a culture of analytical rigor, ownership, and product thinking within the pod.

Skills & Qualifications:

  • Bachelor’s degree in Business, Economics, Engineering, Computer Science, Statistics, or a related field; Master’s preferred.
  • 5–7 years of total experience, with at least 3 years in analytics, growth, or product analytics roles.
  • Strong SQL proficiency; BigQuery preferred, with experience writing complex queries using CTEs, window functions, and partitioned tables.
  • Hands-on experience with at least one product analytics tool such as Mixpanel, Amplitude, GA4, or Firebase.
  • Working knowledge of Python (pandas) and advanced Excel/Google Sheets.
  • Solid understanding of unit economics, including GMV, AOV, CAC, LTV, payback, and contribution margin.
  • Prior experience in q-commerce, food delivery, ride-hailing, e-commerce, or fintech.
  • Experience working directly with Product Managers on PRDs and A/B test design.
  • Exposure to subsidy, voucher, and promotions optimization in a marketplace or app-based business.
  • Familiarity with fraud detection concepts.