Senior Data Analyst - Operations & Logistics

Overview

🛠 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 (e.g., measuring the true impact of an operational change rather than correlation).
• Experience modeling delivery unit economics at the transaction level (cost per order, courier payout, subsidy, delivery margin) and aggregating it reliably across time, cohorts, zones, and other dimensions.
• 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

The Dream We’re Chasing

The Quest We’re On

👥 Be Customer Obsessed

👨‍💼 It's All About People

Perks & Worklife Magic At Snoonu

Builder’s Playground

Flexible Time Off

Agile Everything

Great Place to Work® Certified

Beyond the Code: Giving Back Matters

Diversity Isn’t Just a Buzzword

Let’s Build the Future Together