Product Data Analyst - Payments - Associate

• Partner deeply with leadership and cross-functional teams to diagnose business friction points, scope analytics deliverables, and define core success metrics.
• Apply structured statistical thinking and historical trend analysis to differentiate systemic market shifts from short-term data noise, translating complex business problems into viable data-science approaches.
• Design, build, and audit core business metrics across the MS platform, ensuring consistency, governance, and seamless alignment with overarching organizational KPIs.
• Maintain an expert-level understanding of cloud database relationships, building and refining solid semantic layers (including Refiner Tables) that accurately map complex physical schemas into clean, reliable business definitions.
• Write, optimize, and scale highly performant SQL queries using complex joins, CTEs, and window functions.
• Utilize Python for data manipulation, programmatic parsing, and deep statistical analysis where traditional SQL falls short.
• Build, scale, and maintain high-impact Tableau dashboards using advanced filtering, parameters, and self-service capabilities designed for executive-level audiences.
• Deliver findings clearly to technical and non-technical stakeholders alike by contextualizing what happened, analyzing why it occurred via trend lines, and recommending clear, high-impact next steps.
• Direct the evolution of conversational AI products by testing prompts, establishing strict response validation parameters, and ensuring LLM outputs map accurately to approved database metrics.
• Collaborate closely with engineers and product managers to improve chatbot accuracy, usability, and conversational pathways.
• Act as the internal subject matter expert for next-generation cloud architectures, working directly with systems like Snowflake, Refiner Tables, Cortex Search, and Cortex Analyst.
   

• Bachelor’s degree with 5+ years of relevant experience as a data analyst, OR a Master’s degree (e.g., Data Science, Business Analytics, Economics, or Computer Science) with 3+ years of relevant experience.
• Proven experience building and maintaining robust semantic layers and Refiner Tables within enterprise data architectures to ensure absolute data consistency across BI tools and AI applications.
• Mastery of advanced SQL alongside proven proficiency in Python for comprehensive data parsing, automation, or statistical exploration.
• Proven track record of building production-grade Tableau dashboards and scalable self-service reporting portals.
• Extensive experience executing structured trend analysis, cohort analysis, or predictive metric tracking to guide long-term planning.
• Strong working experience with cloud data warehouses, and knowledge of Snowflake Cortex features (Cortex Search, Cortex Analyst) and related enterprise semantic frameworks.
• Strong written and verbal communication skills, with a demonstrated ability to present findings comfortably to senior leadership.
• Hands-on experience developing or fine-tuning conversational AI tools, semantic models, or Natural Language Processing (NLP) search features.
• Experience navigating fast-paced platform environments or enterprise-level financial/operational analytics spaces.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.