DO

Senior Revenue Data Analyst

doordashinternational

São Paulo, BRonsitePosted May 1, 2026
Posting intelligenceMay be filled, listed long ago

Skills

pythonexcelgo

About the role

About the Team

Are you a dynamic and driven Accounting and Data professional ready to elevate your career? We have an exciting opportunity for a proactive and self-motivated individual with a strong command of US GAAP, revenue systems, and core data skills to join our growing Accounting team. This role offers the chance to showcase your expertise by collaborating with all levels of management and cross-functional teams, both internally and externally.

About the Role

In this role, you'll be at the forefront of cross-team collaboration, serving as the go-to expert for accounting partners in the data engineering and engineering spaces, creating a dynamic blend of responsibilities. Your days will be filled with reviewing data using SQL and Python, conducting in-depth data analysis and investigation, designing intricate drawings and flows, and contributing to groundbreaking accounting research and design requirements.

Join us in this opportunity to not only apply your existing skills but also to cultivate new ones in a role that combines the best of both data engineering and accounting realms. Make your mark in a stimulating and remote-friendly environment where your expertise will be valued and your career can thrive.

You’re excited about this opportunity because you will…

Work cross functionally with Technical Accounting, Operational Accounting, Engineering, Product, Finance, Tax, Legal, and various business owners on policies, processes, and programs, and help drive key system initiatives and improvements

Develop and design comprehensive accounting data requirements to facilitate the seamless automation of journal entries, ensuring accuracy, completeness, compliance, and efficiency in financial processes

Lead operational improvement initiatives to further streamline revenue tasks and shorten the revenue close calendar

Monitor data quality of journal entries configured via the Revenue Subledger and design Data Quality checks for identified use cases via accounting requirements design, ad hoc investigations, new product launches, etc.

Work with the Product and Engineering teams to continuously improve our daily Revenue Reconciliation process and manage reconciliation analysis with the help of the analytics team

Review new product designs showcased during internal Financial Compliance Review meetings and assess impact on existing or need for new accounting requirements for the Revenue Subledger

Cross collaborate with partnering teams on the journal entry flows for the new or existing products for automation via the Revenue Subledger

Perform monthly revenue accounting close responsibilities, including but not limited to: GAAP revenue analysis, cost of revenue analysis, accounts receivable reconciliations, review journal entries, and review close package deliverables

Ad hoc analyses and projects as assigned

We’re excited about you because…

You have a Bachelor’s degree in Finance, Accounting, Computer Science, Data Science, or related field

3+ years of experience in revenue accounting, data analytics, and/or business intelligence

Strong knowledge of US GAAP, ASC 606 Revenue Recognition required; knowledge of IFRS a plus

Intermediate/advanced SQL skills and ability to work with large volumes of transactional data, Python a plus

Strong analytical and problem solving skills and ability to adapt to changing work environments

Ability to interact with all levels of management and cross-functional teams, both internally and externally

You are fluent in Portuguese and English (native or advanced level) for both written and spoken communication with globally distributed team members (in North America and Europe)

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.

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.

This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.

If you need any accommodations, please inform your recruiting contact upon initial connection.

We use Covey as part of our hiring and/or promotional process for jobs in certain locations.

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

To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Data Analyst roles in Brazil varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Analyst hub for Brazil medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.