Data Analyst, Revenue Operations

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

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

A remote first culture!

Competitive compensation and benefits

Personal growth and advancement opportunities

Flex PTO & dedicated sick time

Health, Dental and Vision Insurance

Life, ADD, Short-term and Long-term Disability insurance

401k matching up to 4% after two months of service

Flexible Spending Account

Paid Parental Leave

Company volunteer days

Employee referral program

Bonusly colleague recognition

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.

Attention job applicants: Please note that in compliance with the data protection regulations within your jurisdiction, any personal information submitted with your job application may be collected and used by NMI for the purpose of recruitment and employment-related activities. By submitting your application, you acknowledge and provide explicit consent to the processing of your personal information as described in our privacy policy found on our website. For more information on how we process your information, please read our privacy policy here: https://www.nmi.com/legal/privacy-policy/

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