Emprise Bank is dedicated to empowering communities and providing exceptional service to its customers. They are seeking an Embedded Business Analyst who will be responsible for strategic business partnership, data translation, performance measurement, and data governance to support decision-making and continuous improvement across embedded payment programs.
Responsibilities:
- Serve as a trusted advisor to business, product, and partner teams, helping shape questions, define success metrics, and clarify analytical needs
- Support cross-functional initiatives by bridging communication between product, operations, risk, compliance, and data teams
- Interpret and synthesize analytical outputs into clear, actionable insights and recommendations for stakeholders
- Translate business objectives and partner requirements into structured data requests, logic definitions, and measurable KPIs
- Ensure alignment between business intent and technical execution, validating that outputs accurately reflect the original need
- Partner with data engineering and analytics teams to define data sources, calculations, and output requirements
- Develop business cases, performance frameworks, and measurement strategies for embedded payment programs (e.g., card issuing, ACH, RTP)
- Create and maintain reporting frameworks, dashboards, and recurring performance readouts for leadership
- Drive consistency in metric definitions, data governance, and reporting standards across embedded payment programs
- Identify gaps in data availability, quality, or structure, and work with technology teams to address them
- Other duties as assigned within the scope and responsibility of the job
Requirements:
- Bachelor's degree in Business, Finance, Economics, Data Analytics, or related field
- 3+ years of experience in business analysis, analytics translation, or consulting within banking, payments, or fintech
- Strong understanding of payments ecosystems (ACH, card networks, RTP, etc.)
- Experience working directly with data teams (data engineering, BI, analytics) to define and deliver outputs
- Proficiency in Excel and data visualization tools (Tableau, Power BI)
- Working knowledge of SQL or ability to engage effectively with technical teams on data logic