Senior Product Data Analyst - Payments & Financial Services

This is a Fully Remote Job

About Our Client:

The organization operates within the financial technology sector, focusing on modernizing and automating financial processes for businesses ranging from startups to established brands. It addresses inefficiencies in traditional financial operations by providing innovative tools that enhance decision-making and operational control. The company supports a remote-first work model with offices in San Jose, CA, and Draper, UT, and emphasizes building high-performing, diverse teams to deliver impactful solutions that save businesses time.

About the Opportunity:

The SENIOR PRODUCT DATA ANALYST - PAYMENTS & FINANCIAL SERVICES will lead analytics initiatives for the organization's payments products, focusing on payment conversion, failures, settlement, and monetization. This role is proactive, identifying hidden issues and opportunities that influence product roadmaps and business decisions. The analyst will define key performance indicators, develop production-quality data models, and collaborate with cross-functional teams including Product, Engineering, Marketing, Finance, and Go-To-Market leadership. The role has significant visibility and impact on strategic product and executive decisions.

Responsibilities:

• Set the analytics agenda for payments, identifying data gaps and product opportunities.
• Define metrics and OKRs, maintain a regular review cadence with Product teams.
• Conduct experiments and apply causal inference to inform recommendations.
• Develop and maintain production-grade data models using dbt with proper testing and documentation.
• Utilize AI-assisted workflows and automate recurring reporting.
• Lead executive reporting efforts and promote adoption across leadership and product teams.
• Present findings confidently to senior stakeholders and defend metrics when challenged.
• Collaborate with data engineering and finance to ensure data quality and consistency.

Requirements:

• Minimum 5 years of experience in product analytics, data science, or a related quantitative field with end-to-end domain ownership.
• Proven ability to independently identify high-impact problems and implement solutions.
• Advanced proficiency in SQL and strong Python skills.
• Experience with dbt or similar tools for data modeling, testing, documentation, and version control.
• Expertise in experimentation and causal inference with sound judgment on methodology.
• Proficient in AI-native workflows and understanding of their limitations.
• Strong skills in translating ambiguous questions into actionable metrics frameworks.
• Effective data storytelling to drive product decisions.
• Preferred experience with payments, fintech, or marketplace data including payment rails, settlement, fraud, risk, pricing, or monetization.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.