Analyst – Merchant Ops

Analyst – Merchant Ops

Requirements

• Proficient in SQL & BI Tools
• Familiar with Python (pandas) for data wrangling and basic scripting
• Understand ETL & Data Architecture
• Have Strong Business Acumen & Communication Skills
• Are a Proactive Problem Solver

Responsibilities

• Own the build and maintenance of BI dashboards, ETL pipelines, and operational reporting
• Collaborate with cross-functional teams to productionize forecasting models (e.g., order volume, tablet failure, SLA anomaly detection)
• Partner with Engineering to ensure data freshness and reliable alerting for critical Ops events
• Drive cost-benefit analyses and ‘what-if’ simulations to quantify ROI for process or product changes
• Produce self-serve reporting and documentation so frontline leaders can access actionable insights independently

Preferred Qualifications

• 2+ years of hands-on analytics experience
• Bachelor’s in a quantitative field (Statistics, Economics, Engineering) with 2–4 years in an operations or finance analytics role, OR a Master’s + 2 years of experience
• Strong proficiency in SQL, Excel, and building dashboards using BI Tools such as Tableau, Sigma, Power BI, Quicksight, Looker; Familiarity with Snowflake and Sigma is a plus
• Can read an ETL pipeline and collaborate with Data and Software Engineers
• Can design new metrics and collaborate with Data Scientists
• Can lead projects independently and collaborate with Operations, Product, S&O successfully influencing without authority
• Strong verbal and written communication skills; you know how to work with individual contributors and senior leaders
• Curious to learn new things and find ways to improve the DoorDash ecosystem