PayNearMe
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.
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
Equal Opportunity Employment 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.
#J-18808-Ljbffr
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
Equal Opportunity Employment 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.
#J-18808-Ljbffr