Senior Product Associate - Payments
About The Position
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 will partner with product, engineering, data engineering, and AI/ML stakeholders to shape capabilities spanning SQL-driven analytics, Databricks-based data and compute, semantic and metrics layers, dashboards, and AI-enabled analytics experiences. The role is analytics-forward and also involves developing working knowledge of upstream platform considerations—including data quality, lineage, governance, and pipeline reliability—to support a strong end-to-end user experience. You will support product development and discovery, helping identify solutions to customer and stakeholder needs. Working with product managers and cross-functional partners, you will contribute to product strategy and roadmap development, define workflows and requirements, and help execute product initiatives and launches.
Requirements
- At least 1 year of experience, or equivalent internship or project experience, in product management, analytics, business intelligence, data engineering, or software delivery.
- Foundational knowledge of the product development lifecycle and comfort working in Agile teams.
- Working proficiency in SQL, including the ability to validate metric logic, perform exploratory analysis, and troubleshoot data issues.
- Familiarity with analytics concepts such as KPIs and metrics, reporting, basic dimensional modeling, and the importance of data quality and definitions.
- Strong written and verbal communication skills, including the ability to turn ambiguous requests into clear requirements.
- Developing knowledge of the product development lifecycle.
- Exposure to product lifecycle activities, including discovery and requirements definition.
- Emerging knowledge of data analytics and data literacy.
Nice To Haves
- Experience with Databricks, including notebooks, SQL warehouses, jobs/workflows, and Delta tables, or similar lakehouse analytics platforms.
- Familiarity with semantic or metrics layers and governed self-service analytics patterns, such as metric definitions, data catalogs, and reusable models.
- Basic proficiency in Python or a similar language for analytics or automation.
- Experience with Jira and Confluence for backlog management and documentation.
- Exposure to AI/ML or GenAI-enabled analytics and awareness of responsible AI considerations.
Responsibilities
- Support delivery of analytics products that improve data discovery, usability, and trust for analysts, data scientists, and business users, including semantic layers, reusable metrics, curated datasets, and analytics tooling.
- Assist with discovery and user research by gathering stakeholder input, contributing to journey maps, and synthesizing insights into clear problem statements and opportunities.
- Help define requirements by writing epics and user stories with acceptance criteria covering analytics workflows, metric definitions, data logic, and reporting needs.
- Partner with engineering and data teams to translate business questions into implementable analytics solutions, including KPI and metric definitions, dimensional modeling needs, and performance considerations.
- Consider upstream dependencies such as ETL/ELT schedules, data quality checks, schema changes, lineage, and access controls, and help manage their effects on downstream dashboards, models, and AI consumers.
- Support development of product strategy and the roadmap.
- Collect and analyze product performance metrics to inform decision-making.
- Collaborate with cross-functional teams to discover solutions that address user needs and align with business goals.
- Participate in product planning, contribute ideas and insights, and assist with executing initiatives to support timely and successful launches.
- Collaborate with the product manager to engage stakeholders and define user workflows, requirements, stories, and customer value.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
