Senior Data Analyst, Logistics Ops: Last-Mile Impact

Snoonu

Doha

On-site

QAR 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Global vibes
Learning budgets
Autonomy
Generous leave
Agile environment

Job summary

Snoonu in Doha is seeking an Operations & Logistics Data Analyst to turn delivery and logistics data into actionable insight, owning KPIs like delivery time, on-time rate, and cost per delivery to improve last-mile performance. You will collaborate with cross-functional teams, build dashboards, forecast demand, balance courier supply, and mentor junior analysts in a fast-paced, real-time environment.

The ideal candidate has a bachelor’s or master’s degree and 5+ years of analytics experience

Qualifications

  • Bachelor's or Master's degree in data science, statistics, mathematics, industrial engineering, operations research, supply chain, or computer science.
  • At least 5 years of experience in operations, logistics, or supply chain analytics, preferably in fast-paced delivery/e-commerce.
  • Strong proficiency in SQL, Python and/or R; experience with data visualization tools like Tableau or Power BI.

Responsibilities

  • Define, monitor, and report core operational KPIs (delivery time, on-time rate, courier utilization, idle time, dispatch/assignment efficiency, cost per delivery).
  • Analyze complex data to diagnose bottlenecks, forecast demand, and balance courier supply across zones/time windows.
  • Design dashboards and visualizations for real-time and historical visibility; communicate insights to non-technical stakeholders.
  • Mentor junior analysts and collaborate across cross-functional teams (ops, fleet, dispatch, product, engineering).

Skills

SQL
Python
R
Tableau
Power BI
Geospatial analysis
Time-series analysis
Analytics storytelling
Communication with stakeholders
Independent working

Education

Bachelor's or Master's in a related field

Tools

Tableau
Power BI
GIS tools
Excel
SQL engines

Job description

Snoonu in Doha is seeking an Operations & Logistics Data Analyst to turn delivery and logistics data into actionable insight, owning KPIs like delivery time, on-time rate, and cost per delivery to improve last-mile performance. You will collaborate with cross-functional teams, build dashboards, forecast demand, balance courier supply, and mentor junior analysts in a fast-paced, real-time environment.

The ideal candidate has a bachelor’s or master’s degree and 5+ years of analytics experience

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