Data Analyst Jobs at DoorDash with Visa Sponsorship
Data Analyst jobs at DoorDash span product, logistics, merchant, and consumer teams, with roles ranging from SQL-heavy reporting to experimentation and machine learning pipelines. The company has a consistent track record of sponsoring work visas for analytical talent, supporting multiple visa categories at different career stages.
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Get Access To All JobsAbout The Team
The SevenRooms Data & Analytics team is the foundational data hub for the SevenRooms business — owning the pipelines, models, dashboards, and predictive systems that power decisions across GTM, Product, Finance, and Partnerships. We sit at the intersection of SevenRooms and the broader DoorDash data ecosystem, and we partner globally with teams across the US, UK, UAE, and Australia supporting all customer segments from SMB through Enterprise. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption.
About The Role
We're hiring a Manager of Data & Analytics to lead the SevenRooms D&A team — a team of six (and growing to eight) analysts and engineers responsible for the data products, AI systems, and reporting infrastructure that the rest of the business runs on. You will be both a people leader and a senior technical voice in the room: coaching analysts and engineers on their craft, owning the data roadmap end-to-end, partnering with executive stakeholders across geographies and segments, and rolling up your sleeves on the highest-complexity work. In your first 90 days, you will absorb the team's in-flight roadmap, build trust with stakeholders across S&O, GTM, Product, Finance, and Partnerships, and partner with leadership on the prioritization framework that governs what the team takes on next. Our 2026 roadmap spans the full data value chain: GenAI agents that audit Salesforce in real time, churn and ICP models that drive CSM and AE prioritization, the MRR/ARPV reporting layer that finance and leadership run the business on, and the Netsuite integration that will modernize how we report revenue. You will report into the Senior Manager, Strategy & Operations in our In-Store organization.
You’re Excited About This Opportunity Because You Will…
- Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end.
- Own the D&A roadmap across GTM, Product, Finance, and Partnerships, balancing the team's investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics.
- Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions.
- Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI.
- Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean "Build vs. Run" operating model and unlock the next generation of AI-powered GTM products.
- Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every D&A engineer and analyst faster at deploying AI.
- Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales.
We’re Excited About You Because…
- 6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery).
- 2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development.
- Hands-on experience owning enterprise data infrastructure (Looker or equivalent BI tooling, DBT modeling at scale, Salesforce-to-warehouse pipelines) and the judgment to know when to invest in foundations versus ship for speed.
- Proven track record of partnering with executive stakeholders across functions — translating ambiguous business problems into scoped technical work, and pushing back constructively when scope or data readiness is the real blocker.
- Working fluency with modern AI and ML approaches (predictive modeling, LLM-powered workflows, the GenAI tooling ecosystem) and the ability to mentor a team building production AI systems.
- Strong written and verbal communication skills, including the ability to lead distributed teams across multiple time zones and represent the team in senior cross-functional forums.
Compensation
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
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 (e.g. Colorado Healthy Families and Workplaces Act). 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. To learn more about our benefits, visit our careers page here.
See Below For Paid Time Off Details
For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
The national base pay range for this position within the United States, including Illinois and Colorado. $141,400—$208,000 USD
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.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used 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 provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
About The Team
The SevenRooms Data & Analytics team is the foundational data hub for the SevenRooms business — owning the pipelines, models, dashboards, and predictive systems that power decisions across GTM, Product, Finance, and Partnerships. We sit at the intersection of SevenRooms and the broader DoorDash data ecosystem, and we partner globally with teams across the US, UK, UAE, and Australia supporting all customer segments from SMB through Enterprise. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption.
About The Role
We're hiring a Manager of Data & Analytics to lead the SevenRooms D&A team — a team of six (and growing to eight) analysts and engineers responsible for the data products, AI systems, and reporting infrastructure that the rest of the business runs on. You will be both a people leader and a senior technical voice in the room: coaching analysts and engineers on their craft, owning the data roadmap end-to-end, partnering with executive stakeholders across geographies and segments, and rolling up your sleeves on the highest-complexity work. In your first 90 days, you will absorb the team's in-flight roadmap, build trust with stakeholders across S&O, GTM, Product, Finance, and Partnerships, and partner with leadership on the prioritization framework that governs what the team takes on next. Our 2026 roadmap spans the full data value chain: GenAI agents that audit Salesforce in real time, churn and ICP models that drive CSM and AE prioritization, the MRR/ARPV reporting layer that finance and leadership run the business on, and the Netsuite integration that will modernize how we report revenue. You will report into the Senior Manager, Strategy & Operations in our In-Store organization.
You’re Excited About This Opportunity Because You Will…
- Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end.
- Own the D&A roadmap across GTM, Product, Finance, and Partnerships, balancing the team's investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics.
- Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions.
- Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI.
- Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean "Build vs. Run" operating model and unlock the next generation of AI-powered GTM products.
- Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every D&A engineer and analyst faster at deploying AI.
- Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales.
We’re Excited About You Because…
- 6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery).
- 2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development.
- Hands-on experience owning enterprise data infrastructure (Looker or equivalent BI tooling, DBT modeling at scale, Salesforce-to-warehouse pipelines) and the judgment to know when to invest in foundations versus ship for speed.
- Proven track record of partnering with executive stakeholders across functions — translating ambiguous business problems into scoped technical work, and pushing back constructively when scope or data readiness is the real blocker.
- Working fluency with modern AI and ML approaches (predictive modeling, LLM-powered workflows, the GenAI tooling ecosystem) and the ability to mentor a team building production AI systems.
- Strong written and verbal communication skills, including the ability to lead distributed teams across multiple time zones and represent the team in senior cross-functional forums.
Compensation
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
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 (e.g. Colorado Healthy Families and Workplaces Act). 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. To learn more about our benefits, visit our careers page here.
See Below For Paid Time Off Details
For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
The national base pay range for this position within the United States, including Illinois and Colorado. $141,400—$208,000 USD
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.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used 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 provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
See all Data Analyst Jobs at DoorDash
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analyst Jobs at DoorDash.
Get Access To All JobsTips for Finding Data Analyst Jobs at DoorDash
Tailor your portfolio to marketplace analytics
DoorDash evaluates analysts on experimentation design, funnel analysis, and supply-demand modeling. Before applying, build out portfolio projects that demonstrate A/B testing methodology or logistics optimization, since generic dashboards won't differentiate you in a competitive review process.
Target teams where sponsorship is routine
DoorDash's product and operations analytics teams file across H-1B, E-3, and TN categories regularly. Focus your applications on roles under those functions, since sponsorship decisions are often made at the team level before an offer is extended.
Clarify your visa category before the offer stage
DoorDash sponsors multiple visa types, so tell your recruiter early which category applies to you. Australians on E-3 and Canadians on TN have faster timelines than H-1B, which can make you a more attractive candidate when a team needs to hire quickly.
Prepare for LCA wage level scrutiny
DoorDash's immigration team files Labor Condition Applications with the DOL before your start date, and wage level matters. Make sure your offered title and responsibilities align with a Level II or Level III LCA, or USCIS may issue a Request for Evidence on specialty occupation.
Use OPT strategically if you're on F-1
If you're currently on F-1 OPT, your 60-day unemployment clock starts the moment your authorization period begins. Line up your DoorDash start date before OPT activates, not after, so you don't burn unauthorized days while waiting for onboarding.
Search DoorDash openings filtered by sponsorship on Migrate Mate
Data Analyst roles at DoorDash open and close quickly across different teams. Use Migrate Mate to filter open positions by visa type so you're applying to roles where sponsorship is already confirmed, not discovering that detail after a three-round interview.
Frequently Asked Questions
Does DoorDash sponsor H-1B visas for Data Analysts?
Yes, DoorDash sponsors H-1B visas for Data Analyst roles. The process requires your employer to file a Labor Condition Application with the DOL and then submit Form I-129 to USCIS. Because H-1B is subject to an annual lottery with an April registration window, timing your job search to align with that cycle matters significantly for new cap-subject applicants.
Which visa types does DoorDash commonly sponsor for Data Analyst roles?
DoorDash sponsors a range of visa categories for analytical roles, including H-1B, H-1B1 visa for Singaporean and Chilean nationals, E-3 visa for Australians, TN visa for Canadians and Mexicans, F-1 OPT and CPT for students, J-1 visa, and EB-2 or EB-3 for employment-based Green Card pathways. The right category depends on your nationality, degree, and career stage.
What qualifications does DoorDash expect for Data Analyst roles?
DoorDash typically expects proficiency in SQL and at least one scripting language such as Python or R, along with hands-on experience in A/B testing, product analytics, or operational reporting. Roles on growth and product teams often require familiarity with experimentation platforms. A bachelor's degree in statistics, computer science, economics, or a related quantitative field is standard for specialty occupation visa filings.
How do I apply for Data Analyst jobs at DoorDash?
Use Migrate Mate to browse open Data Analyst positions at DoorDash filtered by the visa type you need, so you can confirm sponsorship eligibility before applying. Applications go through DoorDash's careers portal. The interview process typically includes a SQL or analytical take-home, followed by technical and cross-functional interviews with the hiring team.
How do I plan my timeline if DoorDash extends a Data Analyst offer requiring H-1B sponsorship?
If you're cap-subject, DoorDash would register you in the USCIS H-1B lottery, which opens in March each year for an October 1 start date. If selected, the I-129 petition must be filed by June 30. That means an offer in spring or summer may not translate to an authorized start date until October, so factor a potential six-month gap into your planning.