Product Data Analyst - Acquiring Operations

Key Responsibilities

Product & Operational Analytics

• Lead the collection, analysis, and interpretation of operational and product data to drive strategy, optimization, and growth across NMI’s acquiring platform and Merchant Central CRM
• Partner closely with Product Managers supporting ISO operations, Merchant Central, ScanX, Business Capital lending, and additional acquiring extensions.
• Build analytical frameworks that empower product and business teams to make data-driven decisions.
• Conduct opportunity sizing, forecasting, trend analysis, and operational performance analysis to support strategic planning.

Dashboarding & Data Visualization

• Design, build, and maintain Tableau dashboards and reporting frameworks that provide actionable visibility into KPIs, operational health, merchant performance, and product adoption.
• Create executive-ready visualizations and narratives that clearly communicate insights to technical and non-technical stakeholders.
• Develop self-service reporting capabilities that enable teams to independently explore operational and product data.

Data Integrity & Operational Insights

• Monitor data quality, transaction integrity, and operational reporting accuracy across the acquiring lifecycle.
• Investigate anomalies, breakages, settlement discrepancies, reconciliation issues, and operational incidents proactively.
• Analyze large transactional datasets to uncover trends, operational bottlenecks, growth opportunities, and merchant behavior insights.
• Partner across teams to ensure accuracy in financial reporting, ACH reconciliation, settlement operations, and partner reporting.

Cross-Functional Collaboration

• Collaborate with Engineering and Data teams to define event tracking, instrumentation, and data collection standards.
• Support business stakeholders across Product, Operations, Finance, Sales, and Support with timely insights and ad-hoc analysis.
• Help establish KPI cadences and operational review processes across monthly, quarterly, and annual business rhythms.
• Contribute to building a strong data discipline across product and operations teams through experimentation, measurement, and analytical rigor.

Process Improvement & Automation

• Identify inefficient operational workflows and opportunities for automation through data and reporting improvements.
• Help streamline operational reporting and reduce manual analysis through scalable analytics solutions and tooling.
• Support