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Senior Product Analyst — Groceries

inDrive Open
Hybrid Limassol Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at inDrive. Limassol · full-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SenioritySenior
LocationLimassol
WorkplaceHybrid
EmploymentFull-time
PostedNov 6, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Track grocery orders, GMV, basket value, conversion, retention, margin and availability, then support targets and financial plans
  • Turn analysis into executive updates and practical recommendations for senior stakeholders
  • Find and rank growth opportunities across the customer funnel, assortment, pricing, promotions and new markets
  • Set profitability and customer-experience guardrails, and investigate drops in delivery time, cancellations or stock availability
  • Guide experiments, prioritization and roadmap checks while building dashboards and data foundations with engineering

What you bring

  • At least five years working in data or product analytics
  • You can use Python, SQL and business intelligence tools such as Tableau or Redash
  • You bring statistical, optimization and causal-inference knowledge, plus experience with large datasets and product data marts
  • Professional working proficiency in English

Who this fits

This senior role suits an analyst who can connect rigorous analysis with business impact and efficient use of resources. You’ll work across product, commercial, operations and marketing teams. The role is hybrid in Limassol, Cyprus.

From the employer

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
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.