As a Product Associate in Embedded Payments, you play a crucial role in supporting the product development process and contributing to the discovery of innovative solutions that address customer needs. Working closely with the product management team and cross-functional partners, you contribute your skills and insights to help ensure the success of our product offerings. As a valued member of the team, you have the opportunity to learn and grow in a dynamic and fast-paced environment, making a tangible impact on our products and customer experiences. As a Product Associate in Embedded Payments Analytics Product Management, you will help deliver analytics products that enable self-service insights and decisioning for internal teams. You’ll partner with product, engineering, data engineering, and AI/ML stakeholders to shape capabilities across SQL-driven analytics, Databricks-based data/compute, semantic/metrics layers, dashboards, and AI-enabled analytics experiences. While the role is analytics-forward, you will also develop working knowledge of upstream platform considerations (data quality, lineage, governance, and pipeline reliability) to ensure a great end-to-end user experience.   Job responsibilities 3 Supports delivery of analytics productsa0that improve discovery, usability, and trust of data for analysts, data scientists, and business users (e.g., semantic layers, reusable metrics, curated datasets, and analytics tooling). 3 Assists with discovery and user researcha0by gathering stakeholder input, contributing to journey maps, and synthesizing insights into clear problem statements and opportunities. 3 Helps define requirementsa0by writing epics and user stories (with acceptance criteria) that describe analytics workflows, metric definitions, data logic, and reporting needs. 3 Partners with engineering and data teamsa0to translate business questions into implementable analytics solutions, including KPI/metric definitions, dimensional modeling needs, and performance considerations. 3 Considers upstream dependenciesa0(ETL/ELT schedules, data quality checks, schema changes, lineage, and access controls) and helps manage impacts to downstream dashboards, models, and AI consumers. 3 Supports the development of our product strategy and roadmap 3 Collects and analyzes metrics on product performance to inform decision-making 3 Contributes to solution discovery through collaboration with cross-functional teams to identify potential solutions that address user needs and align with business goalsa0 3 Participates in product planning sessions, contributes ideas and insights, and assists in the execution of product initiatives, ensuring timely and successful product launches 3 Collaborates with the product manager to engage stakeholders and define user workflows, requirements, stories, and customer value Required qualifications, capabilities, and skills 3 1+a0years of experiencea0(or equivalent internship/project experience) in product management, analytics, BI, data engineering, or software delivery. 3 Foundational knowledge of thea0product development lifecyclea0and comfort operating in Agile teams. 3 Working proficiency ina0SQLa0and ability to validate metric logic, perform exploratory analysis, and troubleshoot data issues. 3 Familiarity witha0analytics concepts: KPIs/metrics, reporting, basic dimensional modeling, and the importance of data quality and definitions. 3 Strong written and verbal communication skills, including the ability to turn ambiguous requests into clear requirements. 3 Developing knowledge level of the product development life cycle 3 Exposure to product life cycle activities including discovery and requirements definition 3 Emerging knowledge of data analytics and data literacy Preferred qualifications, capabilities, and skills 3 Experience witha0Databricksa0(notebooks, SQL warehouses, jobs/workflows, Delta tables) or similar lakehouse analytics platforms. 3 Familiarity witha0semantic/metrics layersa0and governed self-service analytics patterns (e.g., metric definitions, data catalogs, reusable models). 3 Basic proficiency ina0Pythona0(or similar) for analytics or automation. 3 Experience witha0Jira/Confluencea0for backlog management and documentation. 3 Exposure toa0AI/ML or GenAI-enabled analytics and awareness of responsible AI considerations.