NMI
Data Analyst, Revenue Operations
US, Remote
Sponsorship not specified$65k-$85kDetected 12 days ago
SQLBigQueryMachine LearningData AnalysisData VisualizationSalesforceCRMSalesLeadershipCommunicationProblem Solving
About the role
- About the job 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 the reporting, models, and visualizations that power 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
- 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
- Demonstrated experience building and maintaining dashboards in Tableau or comparable data visualization tools
- Strong written and verbal communication skills with the ability to partner effectively across technical and non-technical stakeholders
- NMI enables our partners with choice, and challenges the one-size-fits-all approach to payments.
Requirements
- 2-5 years of experience in data analysis, revenue operations analytics, business intelligence, or a similar analytical role
- Experience with data modeling and designing reusable views for aggregation and consumption
- The Ideal Candidate You bring strong analytical thinking, intellectual curiosity, and a commitment to accuracy.
Nice to have
- Strong SQL proficiency, with hands-on experience in BigQuery
- familiarity with BigQuery ML a significant plus
- Experience working with CRM data (Salesforce preferred) and revenue/go-to-market datasets
Compensation
- $65,000 - $85,000 USD
- Competitive salary + bonus
- Salary range, depending on experience:
Benefits
- Competitive salary + bonus
- Health, Dental and Vision Insurance
- We democratize the latest payments technology so that everyone can realize the benefits of easy payments across the full spectrum of commerce.
Equal opportunity
- NMI is committed to providing equal employment opportunity for all persons regardless of race, color, religion, sex, age, marital status, national origin, sexual orientation or sexual identity, genetic information, citizen status (except those that do not have the legal right to be employed in the United States), disability, military service, service member, veteran status, or any other basis protected by applicable law.
- Please be aware that all offers of employment are made subject to receipt of satisfactory background and financial checks.
- #LI-Remote
- Salary range, depending on experience:
Visa & Work Authorization
- color, religion, sex, age, marital status, national origin, sexual orientation or sexual identity, genetic information, citizen status (except those that do not have the legal right to be employed in the United States),
This listing is sourced directly from NMI's careers page and normalized into a canonical job model.