Data Analyst, Revenue Operations

Summary

NMI is a leading provider of payment gateway solutions, specializing in card-present solutions and payment processing. The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into reporting, models, and visualizations that support revenue, sales, and operations decision-making.

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

Skills

• 2–5 years of experience in data analysis, revenue operations analytics, business intelligence, or a similar analytical role
• Strong SQL proficiency, with hands-on experience in BigQuery; familiarity with BigQuery ML a significant plus
• Demonstrated experience building and maintaining dashboards in Tableau or comparable data visualization tools
• Experience with data modeling and designing reusable views for aggregation and consumption
• Familiarity with entity resolution and data quality techniques, including fuzzy matching and cross-platform reconciliation
• Strong analytical skills with the ability to surface trends, identify gaps, and translate data into clear recommendations
• Experience working with CRM data (Salesforce preferred) and revenue/go-to-market datasets
• The ability to move fluidly between structured recurring reporting and ambiguous ad-hoc requests without losing rigor on either
• Strong written and verbal communication skills with the ability to partner effectively across technical and non-technical stakeholders
• Independent work ethic and comfort operating in a fast-paced environment where priorities and reporting requirements can shift

Qualifications

Must Haves

• 2–5 years of experience in data analysis, revenue operations analytics, business intelligence, or a similar analytical role
• Strong SQL proficiency, with hands-on experience in BigQuery; familiarity with BigQuery ML a significant plus
• Demonstrated experience building and maintaining dashboards in Tableau or comparable data visualization tools
• Experience with data modeling and designing reusable views for aggregation and consumption
• Familiarity with entity resolution and data quality techniques, including fuzzy matching and cross-platform reconciliation
• Strong analytical skills with the ability to surface trends, identify gaps, and translate data into clear recommendations
• Experience working with CRM data (Salesforce preferred) and revenue/go-to-market datasets
• The ability to move fluidly between structured recurring reporting and ambiguous ad-hoc requests without losing rigor on either
• Strong written and verbal communication skills with the ability to partner effectively across technical and non-technical stakeholders
• Independent work ethic and comfort operating in a fast-paced environment where priorities and reporting requirements can shift

Benefits

• Bonus
• A remote first culture!
• Flex PTO
• Health, Dental and Vision Insurance
• 13 Paid Holidays
• Company volunteer days