Product Associate - Merchant Service Data Platform
Product Associate - Merchant Service Data Platform
Posted yesterday
SENIORITY
Mid
About the role
- Gather, clarify, and document data requirements from product teams and other stakeholders across the payment's ecosystem
- Identify existing data sources, gaps, dependencies, and opportunities to improve data discoverability and usability within your assigned domain
- Translate business needs into clear product requirements, user stories, acceptance criteria, and workflow documentation
- Partner with product managers, engineering teams, data stakeholders, and business users to support backlog refinement, prioritization, and delivery
- Directly query data warehouse to investigate data existence, identifying duplicate, overlapping, or inconsistent data sources
- Triage incoming data requests: assess intent, determine what existing data can be repurposed, and scope what requires new build
- Work with stakeholders to define data elements, business terms, metrics, and reporting requirements
- Contribute to documentation, data catalogs, reporting materials, and self-service resources
- Support release readiness, user acceptance testing, stakeholder communications, and post-release activities
- Leverage AI-assisted tools to accelerate data discovery, duplicate detection, and metadata documentation across your assigned domain
- Required Qualifications, Capabilities, and Skills
- Bachelor's degree required in business, computer science, data analytics, engineering, economics, or a related discipline 2+ years of experience in product management, product operations, business analysis, analytics, technology, or a related field
- Foundational knowledge of the product development lifecycle
- Basic familiarity with SQL, data concepts, databases, APIs, or data platforms
- Strong analytical and problem-solving skills, with the ability to investigate ambiguous questions
- Ability to translate business needs into clear requirements, documentation, and actionable next steps
- Ability to collaborate effectively with product, engineering, data, and business stakeholders
- Ability to manage multiple priorities and work effectively in a fast-paced, collaborative environment
- Comfort learning and applying AI-assisted tools (e.g., for data discovery, summarization, or documentation) in day-to-day work
- Experience with Snowflake or a similar modern cloud data platform
- Preferred Qualifications, Capabilities, and Skills
- Exposure to data quality, data governance, data lineage, metadata, access controls, or data discoverability
- Familiarity with APIs, data pipelines, data modeling, ETL/ELT processes, or analytics workflows
- Exposure to self-service analytics, reporting, semantic layers, data catalogs, or reusable metrics
- Experience supporting product discovery, requirements definition, backlog management, or Agile delivery
- Exposure to payments, merchant acquiring, or financial services
- Ability to communicate technical data concepts clearly to both technical and non-technical audiences
- Exposure to AI/LLM-based tools for data analysis, documentation, or workflow automation
Before you apply
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Your profile is current
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A number in mind
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Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
