Job Opportunities API

About the job NMI is a leading provider of payment gateway solutions, specializing in card-present solutions and payment processing. Our innovative technologies empower businesses to securely accept payments and optimize transaction processes. With a focus on reliability, security, and innovation, we continuously push the boundaries of what's possible in the payments industry. The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into the reporting, models, and visualizations that power revenue, sales, and operations decision-making. Reporting into the Revenue Operations organization, this role combines hands-on SQL and data modeling with predictive segmentation, opportunity analysis, and dashboard development — and serves as a trusted reporting partner to teams across the business. You will work primarily within Revenue Operations while collaborating cross-functionally with Sales, Business and Technical Operations, Sales Enablement, Support, and Finance to get things done. The Ideal Candidate You bring strong analytical thinking, intellectual curiosity, and a commitment to accuracy. You enjoy connecting information across disparate systems, identifying meaningful patterns, and delivering insights that influence business decisions. The opportunity to build and own these capabilities during your first year is something you find energizing: Build and maintain the core revenue and customer-lifecycle reporting that gives sales and revenue leadership clear visibility into performance, trends, and health of the business Develop and operationalize segmentation and predictive models in BigQuery ML that shape go-to-market targeting and account prioritization Lead the migration of dashboards from legacy datasets and BI tools into Tableau, with documented data lineage and custom measures Establish data quality and reconciliation practices that resolve entities across source systems and distinguish net-new from existing customers Partner with teams across the organization to translate ambiguous, evolving requests into concrete reporting deliverables Key Responsibilities Deliver ad-hoc and recurring analyses supporting Sales, Business and Technical Operations (Salesforce Admins), Revenue, Sales Enablement, Support, and other internal teams, with minimal supervision Produce core revenue and customer-lifecycle reporting — including month-to-date, quarter-to-date, and trailing-twelve-month metrics — with validation logic that reconciles outputs against source-of-truth figures Author complex SQL in BigQuery using multi-CTE pipelines, window functions, user-defined functions, and array aggregation, and build reusable views for data aggregation and downstream consumption Build and refine segmentation and clustering models in BigQuery ML, including feature engineering, look-alike discovery, and cluster profiling, and operationalize model output into actionable deliverables for go-to-market teams Size addressable-market and ideal-customer opportunities by identifying accounts whose profile fits specific products, and quantify whitespace and upsell potential to support Sales Enablement and account prioritization Perform entity resolution across multiple source systems using fuzzy matching, normalization, and confidence scoring, reconciling records across platforms Develop and maintain Tableau dashboards for key business metrics, and lead migration from legacy datasets and BI tools with documented data lineage, custom measures, and visual mappings Maintain current knowledge of data sources and ongoing data warehouse developments, adapting models and reporting as schemas and requirements change Translate ambiguous and evolving requests from a wide range of stakeholders into concrete reporting specifications Contribute to a culture of data discipline, continuous improvement, and analytical excellence across the Revenue Operations organization Skil