DoorDash
Senior Analyst II, Analytics & Forecasting
DoorDash, San Francisco, California, United States, 94199
About the Team
We are part of the Network Operations Excellence (NOE) team, which is a component of the Global Support and Integrity Operations (GSIO) organization. Our primary role is to provide the best support for Dashers, Consumers, and Merchants to maximize Customer retention while minimizing cost. We achieve this by creating feedback mechanisms and insights to influence process design and resource allocation to improve the experience. About the Role
We are seeking a dynamic Senior Business Analyst II to join our Forecasting and Network Operations Excellence team. This role will be instrumental in managing and driving projects aimed at scaling our global operations, optimizing processes, and coming up with cost-saving solutions. Your analytical expertise and strategic vision will shape the future of DoorDash's operational excellence. Must be based in one of the following locations: New York, Seattle, San Francisco, Tempe, Sunnyvale, and able to travel pending the needs of the business. Required to make bi-yearly trips for team on-sites. You’re excited about this opportunity because you will
Manage Processes & Timelines; You will manage timely and succinct communications to Senior leadership partners to ensure accountability. Own business outcomes of our GSIO by driving initiatives across technical teams such as Data Science and Business Intelligence. Exhibit agility in report creation and analysis, crafting BI dashboards and datasets within tight timelines to address immediate needs. Take the lead in managing the demand planning process for designated business lines. Proactively pinpoint opportunities for business improvement, system optimization, and automation while implementing data-driven process enhancements to optimize existing workflows. Streamline and scale the existing planning process efficiently to cater to the distinct needs of each business line, ensuring alignment with growth and scalability objectives. We’re excited about you because you
You have a Master's Degree in a Quantitative field +4yrs of relevant experience OR a Bachelor's in a Quantitative field +6yrs of relevant experience. Possess a strong proficiency in SQL, Excel, and building dashboards with 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, Finance. Successfully influence without authority. Have strong verbal and written communication skills; you know how to work with individual contributors and senior leaders. You’re curious to learn new things and find ways to improve the DoorDash ecosystem. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off, and paid sick leave in compliance with applicable laws. DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. The national base pay range for this position within the United States is $84,000 — $123,500 USD. Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
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We are part of the Network Operations Excellence (NOE) team, which is a component of the Global Support and Integrity Operations (GSIO) organization. Our primary role is to provide the best support for Dashers, Consumers, and Merchants to maximize Customer retention while minimizing cost. We achieve this by creating feedback mechanisms and insights to influence process design and resource allocation to improve the experience. About the Role
We are seeking a dynamic Senior Business Analyst II to join our Forecasting and Network Operations Excellence team. This role will be instrumental in managing and driving projects aimed at scaling our global operations, optimizing processes, and coming up with cost-saving solutions. Your analytical expertise and strategic vision will shape the future of DoorDash's operational excellence. Must be based in one of the following locations: New York, Seattle, San Francisco, Tempe, Sunnyvale, and able to travel pending the needs of the business. Required to make bi-yearly trips for team on-sites. You’re excited about this opportunity because you will
Manage Processes & Timelines; You will manage timely and succinct communications to Senior leadership partners to ensure accountability. Own business outcomes of our GSIO by driving initiatives across technical teams such as Data Science and Business Intelligence. Exhibit agility in report creation and analysis, crafting BI dashboards and datasets within tight timelines to address immediate needs. Take the lead in managing the demand planning process for designated business lines. Proactively pinpoint opportunities for business improvement, system optimization, and automation while implementing data-driven process enhancements to optimize existing workflows. Streamline and scale the existing planning process efficiently to cater to the distinct needs of each business line, ensuring alignment with growth and scalability objectives. We’re excited about you because you
You have a Master's Degree in a Quantitative field +4yrs of relevant experience OR a Bachelor's in a Quantitative field +6yrs of relevant experience. Possess a strong proficiency in SQL, Excel, and building dashboards with 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, Finance. Successfully influence without authority. Have strong verbal and written communication skills; you know how to work with individual contributors and senior leaders. You’re curious to learn new things and find ways to improve the DoorDash ecosystem. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off, and paid sick leave in compliance with applicable laws. DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. The national base pay range for this position within the United States is $84,000 — $123,500 USD. Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
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