Data Analyst, Revenue Operations

NMI

Data Analyst turning data from multiple systems into reporting and visualizations at NMI. Collaborating cross-functionally to support revenue and operations decision-making.

Posted 7/10/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $65,000 - $85,000 per yearWebsite

Tech Stack

Tools & technologies

BigQuerySQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisRevenue Operations AnalyticsBusiness IntelligenceData VisualizationFuzzy MatchingData Quality TechniquesSegmentation ModelsClustering ModelsFeature EngineeringCross-Platform Reconciliation

Soft Skills

Strong Analytical SkillsEffective CommunicationIndependent Work EthicAdaptabilityCollaboration