Data Analytics Manager Jobs at DoorDash with Visa Sponsorship
DoorDash hires Data Analytics Managers to drive decisions across merchant, consumer, and dasher growth. The company has a consistent track record of sponsoring work visas for analytical talent, supporting candidates from offer through filing across multiple visa categories.
See All Data Analytics Manager at DoorDash JobsOverview
Showing 5 of 48+ Data Analytics Manager Jobs at DoorDash jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 48+ Data Analytics Manager Jobs at DoorDash
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Manager Jobs at DoorDash.
Get Access To All Jobs
About the Team
Logistics Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. Our mandate for logistics is to fulfill our promise to Dashers, Consumers and Merchants by achieving seamless and reliable deliveries as efficiently as possible.
About the Role
We're hiring a Data Science Manager to lead analytics for the logistics pod and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into our Director, Data Science on the Dasher Logistics Analytics team in our Analytics organization.
You're excited about this opportunity because you will…
- Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash's most important product, business, and GTM priorities.
- Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics.
- Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes.
- Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment.
- Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time.
We're excited about you because…
- You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation.
- You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact.
- You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions.
- You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership.
- You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
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. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.

About the Team
Logistics Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. Our mandate for logistics is to fulfill our promise to Dashers, Consumers and Merchants by achieving seamless and reliable deliveries as efficiently as possible.
About the Role
We're hiring a Data Science Manager to lead analytics for the logistics pod and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into our Director, Data Science on the Dasher Logistics Analytics team in our Analytics organization.
You're excited about this opportunity because you will…
- Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash's most important product, business, and GTM priorities.
- Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics.
- Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes.
- Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment.
- Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time.
We're excited about you because…
- You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation.
- You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact.
- You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions.
- You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership.
- You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
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. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
See all 48+ Data Analytics Manager at DoorDash jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Manager at DoorDash roles.
Get Access To All JobsTips for Finding Data Analytics Manager Jobs at DoorDash Jobs
Tailor your portfolio to marketplace analytics
DoorDash evaluates Data Analytics Managers on experience with two-sided marketplace metrics, cohort retention, and experimentation at scale. Frame past work around A/B testing frameworks and funnel analysis, not general reporting.
Surface sponsorship intent early in recruiter screens
DoorDash recruiters move quickly through technical screens. Confirming your visa needs upfront, before the hiring manager round, prevents late-stage friction when legal and HR teams need lead time to prepare filings.
Align your start date to H-1B cap timelines
If you need a cap-subject H-1B, USCIS opens registration in March with an October 1 start date. Build your interview timeline around this so DoorDash's legal team can file a petition without forcing a gap in your authorization.
Use Migrate Mate to filter open Data Analytics Manager roles
DoorDash posts across multiple job boards, but not every listing flags sponsorship eligibility. Use Migrate Mate to browse verified Data Analytics Manager openings at DoorDash filtered by the visa types you qualify for.
Prepare credential documentation before final interviews
DoorDash's immigration counsel will need your degree transcripts and employment history to assess specialty occupation eligibility under USCIS criteria. Having certified copies and a detailed work history ready shortens the post-offer documentation phase significantly.
Data Analytics Manager at DoorDash jobs are hiring across the US. Find yours.
Find Data Analytics Manager at DoorDash JobsFrequently Asked Questions
Does DoorDash sponsor H-1B visas for Data Analytics Managers?
Yes, DoorDash sponsors H-1B visas for Data Analytics Manager roles. The company works with immigration counsel to support candidates through the full petition process. If you're subject to the H-1B cap, DoorDash typically coordinates registration in March for an October 1 start. Cap-exempt candidates can file year-round.
How do I apply for Data Analytics Manager jobs at DoorDash?
Applications go through DoorDash's careers site, but listings rarely specify which visa types the role supports. Migrate Mate filters open Data Analytics Manager positions at DoorDash by visa sponsorship eligibility, so you can focus on roles aligned to your immigration status before investing time in the application process.
Which visa types does DoorDash commonly use for Data Analytics Manager roles?
DoorDash sponsors H-1B, H-1B1, E-3, TN, F-1 OPT, F-1 CPT, J-1, and employment-based Green Cards including EB-2 and EB-3 for this function. Australian citizens should ask specifically about E-3, which bypasses the H-1B lottery and allows year-round filing. TN is available for Canadian and Mexican nationals in qualifying analytical roles.
What qualifications does DoorDash expect for Data Analytics Manager roles?
DoorDash typically looks for a graduate degree in statistics, computer science, economics, or a related quantitative field, combined with hands-on experience leading analytics teams. Proficiency in SQL, Python, and experimentation platforms is standard. Experience in consumer technology or marketplace businesses is a meaningful differentiator when your profile reaches the hiring manager.
How do I time my application if I'm on F-1 OPT and targeting DoorDash?
F-1 OPT gives you up to 12 months of work authorization, with a 24-month STEM extension if your degree qualifies. To avoid a gap, DoorDash needs to file an H-1B registration before your OPT expires. Apply at least six months before expiration so there's enough runway for screening, offers, and USCIS registration.
See which Data Analytics Manager at DoorDash employers are hiring and sponsoring visas right now.
Search Data Analytics Manager at DoorDash Jobs