[Hiring] Data Analyst, Revenue Operations @NMI

Role Description

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. This role combines hands-on SQL and data modeling with predictive segmentation, opportunity analysis, and dashboard development.

• 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.

Qualifications

• 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.
• 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.

Requirements

• Deliver ad-hoc and recurring analyses supporting Sales, Business and Technical Operations, 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.

Benefits

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