Revenue Operations Data Analyst — Remote

NMI; United States; A distancia; USD 65.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first culture

Flexible PTO

Health, Dental & Vision Insurance

13 Paid Holidays

Descripción de la vacante

NMI, a leading payments platform, is seeking a Data Analyst, Revenue Operations to turn data from multiple sources into reporting, models, and visualizations that drive revenue decisions. You will work within Revenue Operations and collaborate with Sales, Finance and Ops to deliver insights.

You will author complex SQL in BigQuery, build dashboards in Tableau, and develop segmentation and predictive models to support go-to-market strategies.

Formación

• 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.

Responsabilidades

• Deliver ad‑hoc and recurring analyses supporting Sales, Revenue Operations, and other internal teams.
• Produce core revenue and customer‑lifecycle reporting with validation against source of truth figures.
• Author complex SQL in BigQuery and build reusable views for data aggregation.

Conocimientos

SQL

BigQuery

BigQuery ML

Tableau

Data modeling

Entity resolution

Data quality

CRM data (Salesforce)

Written & verbal communication

Independent work ethic

Herramientas

Tableau

BigQuery

Salesforce

Descripción del empleo

NMI, a leading payments platform, is seeking a Data Analyst, Revenue Operations to turn data from multiple sources into reporting, models, and visualizations that drive revenue decisions. You will work within Revenue Operations and collaborate with Sales, Finance and Ops to deliver insights.

You will author complex SQL in BigQuery, build dashboards in Tableau, and develop segmentation and predictive models to support go-to-market strategies.