Senior Operations Analytics & Forecasting Lead

DoorDash Mexico; Ciudad de México; Presencial; MXN 500.000 - 900.000; Jornada completa

Descripción de la vacante

DoorDash is seeking a Senior Analyst in Operations Analytics & Forecasting to join the Forecasting Workforce Management team. You will influence cross-functional teams, design metrics, and drive cost-saving initiatives across GSIO while bridging data and business requirements.

Ideal candidates bring strong SQL and BI skills, experience building dashboards, and a proven ability to lead projects with operations, finance, and data science partners.

Formación

• Masters in a quantitative field or a Bachelor’s in a quantitative field with 2+ years of relevant experience.
• Strong proficiency in SQL, Excel, and building dashboards with BI tools such as Tableau, Sigma, Power BI, Quicksight and Looker; Snowflake familiarity is a plus.
• Can read an ETL pipeline and collaborate with Data and Software Engineers.

Responsabilidades

• Manage processes & timelines; communicate with senior leadership to ensure accountability.
• Own GSIO business outcomes by driving initiatives across technical teams like Data Science and BI.
• Craft BI dashboards and datasets within tight timelines to address immediate needs.
• Lead demand planning for designated business lines.
• Identify opportunities for process improvement, automation, and data-driven enhancements.

Conocimientos

SQL

Excel

BI dashboards

Data visualization

Cross-functional collaboration

English communication

Problem solving

Educación

Masters degree in a quantitative field

Bachelor's in a quantitative field +2yrs experience

Herramientas

Tableau

Power BI

Looker

Sigma

Quicksight

Snowflake

ETL pipelines

Descripción del empleo

DoorDash is seeking a Senior Analyst in Operations Analytics & Forecasting to join the Forecasting Workforce Management team. You will influence cross-functional teams, design metrics, and drive cost-saving initiatives across GSIO while bridging data and business requirements.

Ideal candidates bring strong SQL and BI skills, experience building dashboards, and a proven ability to lead projects with operations, finance, and data science partners.