Growth Lead

Kravemart; Karachi Division; On-site; PKR 1,800,000 - 4,200,000; Full time

Job summary

Kravemart in Karachi is seeking a Senior Analytics Lead to own growth analytics, drive retention models, and monitor GMV across cities and platforms. You will translate data into actionable product interventions and partner with Product Managers on experimentation.

The role requires a strong SQL background with BigQuery, hands-on experience with Mixpanel/Amplitude/GA4, and a track record in q-commerce or marketplace analytics.

Qualifications

• Bachelor’s degree in Business, Economics, Engineering, CS, Statistics, or related field; Master’s preferred.
• 5–7 years total experience with ≥3 years in analytics, growth, or product analytics.
• Strong SQL proficiency; BigQuery preferred with complex queries.
• Hands-on experience with at least one product analytics tool (Mixpanel, Amplitude, GA4, or Firebase).
• Working knowledge of Python (pandas) and advanced Excel/Google Sheets.
• Understanding of GMV, AOV, CAC, LTV, payback, and contribution margin.
• Experience in q-commerce, food delivery, ride-hailing, e-commerce, or fintech.
• Experience with PRDs and A/B test design with Product Managers.
• Exposure to subsidy, voucher, promotions optimization in marketplace/app.
• Familiarity with fraud detection concepts.

Responsibilities

• Own daily, weekly, 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 and 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

Analytical thinking

Growth analytics

Cross-functional collaboration

Data storytelling

Education

Bachelor's degree

Tools

SQL (BigQuery)

Mixpanel

Amplitude

GA4

Firebase

Python (pandas)

Excel/Google Sheets

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.