Senior Forecasting & Analytics Lead, WFM

DoorDash Mexico; Ciudad de México; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

DoorDash Mexico is seeking a Senior Business Analyst to join the Forecasting Workforce Management team. This role focuses on scaling global operations, optimizing processes, and delivering cost-saving solutions through data-driven analysis.

You will lead projects, design and implement SQL-based data models, and collaborate with Business Intelligence, Data Science, Operations, Finance and Customer Experience to influence cross-functional outcomes.

Formación

• Demonstrated experience designing, implementing and executing SQL-based solutions.
• Ability to bridge data requirements with business needs and stakeholders.
• Experience leading cross-functional projects with BI, Data Science, Operations and Finance.
• Strong communication, questioning, and problem-solving skills to influence decisions.

Responsabilidades

• Manage projects and timelines; communicate with senior leadership to drive accountability.
• Own GSIO outcomes by driving initiatives across technical teams (Data Science, BI).
• Create BI dashboards and datasets under tight timelines to meet immediate needs.
• Lead demand planning processes for designated business lines.
• Identify opportunities for process optimization, automation and data-driven enhancements.
• Streamline and scale planning processes to fit growing business needs.

Conocimientos

SQL

Excel

BI Dashboards

Tableau

Power BI

Looker

Snowflake

ETL pipelines

Communication

English

Educación

Masters in Quantitative field

Bachelor's in Quantitative field

Herramientas

Snowflake

Sigma

Looker

Quicksight

Descripción del empleo

DoorDash Mexico is seeking a Senior Business Analyst to join the Forecasting Workforce Management team. This role focuses on scaling global operations, optimizing processes, and delivering cost-saving solutions through data-driven analysis.

You will lead projects, design and implement SQL-based data models, and collaborate with Business Intelligence, Data Science, Operations, Finance and Customer Experience to influence cross-functional outcomes.