Senior Product Analyst - Remote at PayNearMe

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

185000.0

Posted On

06 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Analytics, Data Science, Business Intelligence, SQL, BI Tools, Event Tracking, Experimentation, Data Storytelling, Cross-Functional Leadership, AI Techniques, Predictive Modeling, NLP, User Segmentation, Retention Diagnostics, Funnel Optimization, Communication

Industry

Financial Services

Description

Company Description At PayNearMe, we’re on a mission to make paying and getting paid as simple as possible. We build innovative technology that transforms the way businesses and their customers experience payments. Our industry-leading platform, PayXM™, is the first of its kind—designed to manage the entire payment experience from start to finish. Every click, swipe or tap is seamless, fast and secure, helping non-commerce businesses boost customer satisfaction, accelerate payments, and reduce costs. Our single platform handles it all: cards, ACH, digital wallets such as PayPal, Venmo, Cash App Pay, Apple Pay and Google Pay, and even cash at more than 62,000 retail locations nationwide. Today, thousands of businesses across consumer lending, iGaming and online sports betting, property management, and tolling trust PayNearMe to deliver a payment experience that drives real results. In September 2025, we raised a $50 million Series E funding round to accelerate our growth. We’re a team of 200+ employees across 41 states, headquartered in Silicon Valley with satellite offices in Dallas, TX and Holmdel, NJ. Join us and be part of a team that’s shaping the future of payments—one experience at a time. Job Description As a Senior Product Analyst at PayNearMe, you’ll shape, not just support, product decisions. You’ll define success metrics, analyze complex user behaviors, and uncover growth levers that directly influence our roadmap. Beyond hands-on analytics, you’ll raise the data fluency bar across product teams. From building scalable KPI frameworks to leading experimentation and instrumentation practices, you’ll bring clarity to ambiguity and scale impact across product development. What You’ll Do Metrics & Measurement Own and evolve product KPI frameworks, including success metrics, input levers, and performance monitoring. Scale event tracking and instrumentation practices with product and engineering. Build dashboards and reporting that drive decisions across Product, Design, Ops, and GTM teams. Design and implement experimentation programs (test design, success criteria, post-test analysis). Insights & Storytelling Identify opportunity areas for product analytics and prioritize based on business impact. Communicate insights through compelling data stories tailored for technical and non-technical audiences, including executives. Innovation & Leadership Partner with product and engineering on emerging technologies to augment analytics workflows, including GenAI, agentic systems, and autonomous agents. Lead cross-functional initiatives such as voice-of-customer, user segmentation, retention diagnostics, and funnel optimization. Serve as a thought partner to product leaders, PMs, and development teams on analytics strategies. Qualifications Core Analytics Expertise 6-9 years in product analytics, data science, or business intelligence (B2B SaaS or fintech preferred). Mastery of SQL and fluency with modern BI and data tools (Looker, Tableau, PowerBI, dbt, etc.). Deep knowledge of product metrics such as funnels, retention, cohorts, segmentation, and feature engagement. Ability to structure ambiguous problems and influence product strategy through insights. Familiarity with event tracking schemas and tools (Amplitude, Segment, Google Analytics). Exposure to or collaboration with analytics engineering teams; understanding of dbt or event schema design is a plus. Hands-on experience with AI and ML techniques including predictive modeling, NLP, and agentic systems. Proven track record shaping experimentation programs and guiding test design and measurement. Communication & Leadership Confident storyteller who translates analysis into clear, actionable decisions. Skilled at influencing cross-functional teams and aligning stakeholders at every level. Nice to Have Experience in payments, lending, or regulated industries. Comfort with Python or R for advanced statistical analysis. Additional Information Why Join Us?: Competitive salary and benefits with growth-company options grant Fast- paced and professional work culture Stock options with standard startup vesting - 1 year cliff; 4 years total $50 monthly communication expense stipend to go towards your phone/internet bill $250 stipend to enhance your WFH setup Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200) Premium medical benefits including vision and dental (100% coverage for employees) Company-sponsored life and disability insurance Paid parental bonding leave Paid sick leave, jury duty, bereavement 401k plan Flexible Time Off (our team members typically take off ~3-4 weeks per year) Volunteer Time Off 13 scheduled holidays Salary Range: $165,000 - $185,000 PayNearMe strives to create a workplace where all employees thrive. Our core values represent who we are today and we take pride in the way we work with each other as well as with our stakeholders. We’re in this together to do the right thing. We deliver real results we are proud of while remaining respectful, transparent, and flexible. PayNearMe is an equal opportunity employer. We are diligently and thoughtfully working towards cultivating a diverse workforce which in turn, enhances our products and services for the communities we serve. Applicants who represent all backgrounds are strongly encouraged to apply. — CALIFORNIA CONSUMER PRIVACY ACT: APPLICANT NOTICE Effective Date: January 1, 2020 Last Reviewed on: December 23, 2019 PayNearMe, Inc. (the “Company”) is providing you with this Notice (“Notice”) to inform you about: the categories of Personal Information that the Company collects and maintains about applicants; and the purposes for which the Company uses that Personal Information. For purposes of this Notice, “Personal Information” means information that identifies, relates to, describes, is capable of being associated with, or could reasonably be linked, directly or indirectly with, a natural person that the Company may collect in connection with screening applicants for job openings at the Company. Identifiers and Professional or Employment-Related Information. The Company collects identifiers and professional or employment-related information, which may include some or all the following: real name, nickname or alias, postal address, telephone number, e-mail address, membership in professional organizations, professional certifications, language skills, and current and past employment history. The Company collects this Personal Information to evaluate previous job performance and consider applicants for positions, to develop a talent pool and plan for succession, to conduct applicant surveys, to maintain an internal applicant directory and for purposes of identification, to promote the Company as a place to work, and for workforce reporting and data analytics/trend analysis. Personal Information Categories from Cal. Civ. Code § 1798.80(e). The Company may collect categories of Personal Information listed in Cal. Civ. Code §1798.80(e), other than those already listed above, (a) to the extent necessary to comply with the Company’s legal obligations, such as to accommodate disabilities; (b) to conduct a direct threat analysis in accordance with the Americans with Disabilities Act and state law; (c) for occupational health and safety compliance and record-keeping; and (d) to respond to an applicant’s medical emergency. Characteristics of Protected Classifications Under California or Federal Law. The Company may collect information about race, age, national origin, disability, sex, and veteran status as necessary to comply with legal obligations, including the reporting requirements of the federal Equal Employment Opportunity Act, the federal Office of Contracting Compliance Programs (applicable to government contractors), and California’s Fair Employment and Housing Act. The Company collects this Personal Information for purposes including: to comply with Federal and California law related to accommodation. The Company also collects this category of Personal Information on a purely voluntary basis, except where required by law, and uses the information only in compliance with applicable laws and regulations. Education Information. The Company collects education information such as resumes and graduation records. The Company collects this Personal Information to determine suitability for roles, to determine eligibility for training courses, and to assist with professional licensing. Profile Data. The Company may collect profile data, including the following: psychological assessments, behavior analyses, or other profiling of its applicants. The Company collects this Personal Information to determine aptitude for certain positions and job assignments as well. Background Screening Information. In the event that an applicant is given a formal job offer, the Company collects background screening information prior to hiring, including results of the following types of background screening: criminal history; sex offender registration; motor vehicle records; credit history; employment history; drug testing; and educational history. The Company collects this Personal Information to screen for risks to the Company and its clients, and continued suitability for their jobs and to evaluate applicants for promotions. Assistance for Disabled Applicants Alternative formats of this Notice are available to individuals with a disability. Please let us know if you need assistance. All your information will be kept confidential according to EEO guidelines.

Responsibilities

As a Senior Product Analyst, you will define success metrics and analyze complex user behaviors to influence the product roadmap. You will also build scalable KPI frameworks and lead experimentation practices to enhance product development.