For this particular role we are focused on candidates located in the San Francisco Bay Area. We are a remote-first company with a home base in SF where our team comes together for periodic in-person collaboration (most local teammates opt to come in on Tuesdays/Thursdays). For more details chat with your recruiter!
The impact you will have
Own analytics for payments billing and risk features from user checkout experience to internal financial reporting.
Monitor and improve critical KPIs such as payment success rate failed payment recovery fraud rates chargeback volume and revenue leakage.
Identify and size revenue & risk opportunities across the payments funnel (from checkout to Stripe to invoice collection).
Partner with Product Managers on AB tests and experiments related to payments UX fraud flags or risk workflows.
Collaborate with Engineering to instrument new product features and ensure great event tracking and data integrity in payment flows.
Enhance product planning influencing product planning through informative impact sizing enabling more strategic decision-making.
Improve data Integrity and quality: Collaborate with developers on database design to strengthen data integrity and quality.
Establish a Single Source of Truth (SSOT): Work alongside Data & Analytics Engineers to implement robust models in DBT and Snowflake and design dashboards that provide a unified view of business-critical data.
Who youll work with
Reporting Structure: This role reports directly to our Director of Data Analytics Piotr Rosiak.
Team Collaboration: You will be embedded within up to two product squads working closely with Payments .
Technical Collaboration: You will collaborate with Analytics Engineers on all technical aspects including data modeling data quality and the use of tools like DBT and Snowflake.
What were looking for
Familiarity with Stripe or other payment processors and subscription billing systems.
Strong grasp of metrics design experimentation and product funnel analysis.
Ability to handle ambiguity deep dive into financial systems and proactively flag problems before they escalate.
Knowledge of risk scoring fraud detection systems or chargeback processes.
KPI Development: A proven track record of developing KPIs and metrics tailored for product squads particularly within a startup environment.
Technical Proficiency: Strong proficiency in SQL preferably experience in DBT and Snowflake.
Data Product Expertise: Ability to build comprehensive end-to-end data products.
Organizational Skills: Highly organized with a keen eye for precision.
Industry Experience: Prior experience in SaaS and/or startup environments is highly preferred. Experience in the restaurant industry is an added advantage.
Pay and benefits
The estimated base salary range for this role is $160000-$210000 plus a generous equity pre-IPO equity package
Other benefits include comprehensive health coverage unlimited PTO - plus extra fun perks!
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.