Senior Data Analyst - Operations & Logistics
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Key skills for this role
About the Role
Snoonu is looking for a Senior Data Analyst to turn delivery and logistics data into actionable insights, improving order movement from merchant to customer. You will own operational KPIs, diagnose bottlenecks, forecast demand, and recommend last-mile improvements.
Key Skills for This Role
Responsibilities
- Collaborate with operations, fleet, dispatch, product, and engineering teams to implement data driven solutions that improve delivery speed, reliability, and cost
- Define, monitor, and report on core operational KPIs including delivery time, on time rate, courier utilization, idle time, dispatch efficiency, and cost per delivery
- Analyze and interpret complex operational data sets using statistical techniques and provide stakeholders with clear, actionable insight
- Investigate operational bottlenecks across the order lifecycle and recommend targeted improvements
- Build demand forecasts and support capacity planning to match courier supply to order volume
- Analyze geographic and zone level performance to inform coverage, courier allocation, and last mile strategy
- Design and maintain dashboards and visualizations for real time and historical visibility
- Stay up to date with industry trends in logistics analytics, dispatch optimization, and last mile delivery
- Identify areas of opportunity, guide teams in designing complex operational features, and mentor junior analysts
Requirements
- 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
- Strong proficiency in SQL, Python, and/or R
- Experience with data visualization tools such as Tableau or Power BI
- Experience working with geospatial and time series data
- Excellent analytical and problem solving skills
- Effective communication skills to translate data into recommendations for non technical stakeholders
- Strong attention to detail and accuracy
- Demonstrated ability to work independently and meet deadlines in a fast paced environment
- Strong collaboration skills
Full Job Posting
Overview
- In this position, you will work and collaborate with operations managers, fleet and dispatch teams, data scientists, backend engineers, and business stakeholders in a cross functional setting.
- Your core function as an Operations & Logistics Data Analyst is to turn delivery and logistics data into actionable insight that improves how orders move from merchant to customer.
- You will own the metrics that define operational health, such as delivery time, on time rate, courier utilization, dispatch efficiency, and cost per delivery.
What You’ll Get Your Hands On
- Collaborate with operations, fleet, dispatch, product, and engineering teams to implement data driven solutions that improve delivery speed, reliability, and cost.
- Define, monitor, and report on the core operational KPIs, including delivery time, on time rate, courier utilization, idle time, dispatch and assignment efficiency, and cost per delivery.
- Analyze and interpret complex operational data sets using statistical techniques and provide stakeholders with clear, actionable insight.
- Investigate operational bottlenecks across the order lifecycle (acceptance, preparation, pickup, transit, drop off) and recommend targeted improvements.
- Build demand forecasts and support capacity planning so courier supply is matched to order volume across zones and time windows, including peak periods.
- Analyze geographic and zone level performance to inform coverage, courier allocation, and last mile strategy.
- Design and maintain dashboards and visualizations that give operations teams real time and historical visibility into performance.
- Stay up to date with industry trends in logistics analytics, dispatch optimization, and last mile delivery to keep our capabilities competitive.
- Identify areas of opportunity, guide teams in designing complex operational features, and mentor junior analysts in a collaborative environment.
The Magic You Bring
- A bachelor's or master's degree in a related field, such as 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 a fast paced delivery, e commerce, or marketplace environment.
- Strong proficiency in SQL, Python, and/or R, as well as experience with data visualization tools such as Tableau or Power BI.
- Experience working with geospatial and time series data (e.g., zones, routes, ETAs, demand by hour and location) and comfort with mapping or spatial analysis.
- Excellent analytical and problem solving skills, with the ability to extract insight from large, messy operational data sets.
- Effective communication skills, with the ability to translate operational data into clear recommendations for non technical stakeholders such as fleet, dispatch, and city operations teams.
- Strong attention to detail and accuracy, with the ability to identify and correct errors in data.
- Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast paced, real time operational environment.
- Strong collaboration skills, with the ability to work effectively within a diverse, cross functional team.
Bonus Points If You Have
- Proven experience in food, grocery, or parcel delivery services.
- Familiarity with dispatch, routing, and batching logic, and with the levers that drive last mile efficiency.
- Demonstrated causal analytics skills or a full understanding of causality.
- Experience modeling delivery unit economics at the transaction level.
- Familiarity with demand forecasting, capacity planning, and supply demand balancing for a courier fleet.
- Exposure to optimization or operations research concepts (assignment, routing, queuing) and to data processing pipelines and data engineering basics.
- Familiarity with machine learning techniques and experience contributing to predictive models such as ETA prediction or demand forecasting.
Inside Snoonu’s Universe
- Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing fast delivery, shopping, and more – all in one place.
- Powered by tech, driven by a global team, and obsessed with making life easier.
- Certified as a Great Place to Work®, ISO 9001:2015 and ISO 45001:2018 certified.
- Committed to diversity, inclusion, and giving back to the community.
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