Senior Product Analyst — Couriers

inDrive · Almaty, Kazakhstan · по договорённости

Компания
inDrive
Город
Almaty, Kazakhstan
Зарплата
по договорённости
Уровень
senior
Формат
full_time
Иностранная компания
нанимает русскоязычных

We’re looking for a Senior Data Analyst to join our Couriers team and drive profitable growth of our delivery business. In this role, you’ll partner closely with Commercial, Operations, Marketing, and Finance teams, and work with Product where needed. You’ll use data to guide market strategy and investment decisions, so that Couriers grows efficiently and delivers value for customers and couriers.

Own end-to-end Couriers business performance and P&L drivers: monitor core metrics (orders, GMV, revenue, take rate, contribution margin, incentive spend, courier supply), forecast volumes and budgets, validate targets, and drive financial planning for the business unit
Lead executive-level reporting and insights (e.g., MBRs), turning complex data into clear narratives and actionable recommendations for senior stakeholders
Drive revenue growth by identifying, sizing, and prioritizing high-impact commercial opportunities across pricing and commissions, B2B and merchant partnerships, new markets, and use cases
Establish and monitor guardrails for unit economics and service quality (Perfect Delivery, incident rate); lead the investigation of revenue drops, anomalies, and fraud
Partner with Commercial, Operations, and Finance teams on market strategy and business cases, and with Product on experimentation (A/B testing) and roadmap validation where it affects commercial outcomes
Own data foundations: define the metrics hierarchy, build scalable dashboards and self-serve BI tools, and partner with engineering on data architecture and customer/courier segmentation

5+ years in data analytics or product analytics
Strong analytical mindset with a balance between business impact and resource efficiency
Proficiency in Python, SQL, and BI tools (e.g., Tableau, Redash)
Solid mathematical background, including statistics, optimization, and causal inference
Experience in analyzing large datasets and designing data marts for product needs
English: Professional Working Proficiency
Experience in commercial, pricing, or marketplace analytics is a plus; strong financial modelling skills

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