Senior Product Analyst — Groceries

inDrive · Limassol, Cyprus · по договорённости

Компания
inDrive
Город
Limassol, Cyprus
Зарплата
по договорённости
Уровень
senior
Формат
full_time
Иностранная компания
нанимает русскоязычных

We’re looking for a Senior Product Analyst to join our Groceries team and help build a profitable, fast-growing grocery delivery business. In this role, you’ll partner closely with Product, Category/Commercial, Operations, and Marketing teams. You’ll use data and experimentation to grow orders and basket size, improve unit economics, and make sure customers get the right assortment, delivered fast and reliably.

Own end-to-end grocery performance and unit economics: monitor core metrics (orders, GMV, AOV, conversion, retention, contribution margin, availability), validate targets, and help 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 growth by identifying, sizing, and prioritizing high-impact opportunities across the customer funnel, assortment and pricing, promotions, and new markets
Establish and monitor guardrails for profitability and customer experience (out-of-stocks, delivery time, cancellations); lead incident response for drops and anomalies
Co-pilot product and commercial strategy in close partnership with Product, Commercial, Operations, and Marketing teams, including experimentation (A/B testing), initiative prioritization, and roadmap validation
Own data foundations: define the metrics hierarchy, build scalable dashboards and self-serve BI tools, and partner with engineering on data architecture, logging, and customer 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 q-commerce, e-commerce, or retail analytics is a plus

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