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Senior Data Analyst – Logistics Analytics

foodpanda · Karachi

New
Senior 🇬🇧 English
SQL Python Simulation Optimization Statistical modeling Causal inference

Job description

About the role

We are looking for a Senior Data Analyst to lead logistics analytics across our markets. You will turn complex data into actionable insights that improve cost, efficiency, and service performance.

Key responsibilities

  • Own end‑to‑end logistics problem domains, framing ambiguous issues and delivering analytical solutions.
  • Partner with business and domain leads to shape problem statements, challenge assumptions, and co‑develop data‑driven solutions.
  • Apply advanced methods such as simulation, optimization, and statistical modeling to fleet sizing, routing, staffing, and demand planning.
  • Design and analyze experiments (e.g., cluster, switchback) and use causal inference techniques to measure impact.
  • Build and scale data products and analytical tools using modern data stacks and AI‑enabled workflows.
  • Conduct exploratory and root‑cause analyses to identify performance drivers and optimization opportunities.
  • Collaborate with data engineering teams on data modeling, metric definitions, and scalable solutions.
  • Communicate findings clearly to technical and business stakeholders, driving alignment and action.

Required profile

  • Bachelor’s degree in a quantitative field (e.g., Statistics, Operations Research, Mathematics, Computer Science, Engineering) or equivalent experience.
  • 5–8 years of experience in analytics or data science, preferably in logistics, supply chain, or operations.
  • Proven track record solving problems such as fleet sizing, routing, staffing, or demand planning with measurable business impact.

Required skills

  • SQL
  • Python
  • Simulation and optimization techniques
  • Statistical modeling
  • Causal inference methods (e.g., Difference‑in‑Differences, synthetic controls)
  • Experience with large‑scale datasets and modern data stack tools

What we offer

  • Opportunity to influence logistics strategy across multiple markets.
  • Collaboration with senior stakeholders and cross‑functional teams.
  • Access to cutting‑edge data platforms and AI workflows.

Questions fréquentes

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Published 1 hour ago

Expires 1 month from now

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foodpanda

Karachi