RevOps Data Analyst - AI-Driven Dashboards (Remote)

Skimmer; North Carolina; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, vision plans

Strong culture and engagement

401(k) with company match

Flexible PTO

Remote-friendly

Learning and development budget

Manager dedicated to your development

Job summary

Skimmer is seeking a Revenue Operations/Data Analytics professional to own reporting and data quality across go-to-market, finance, and product usage. You’ll drive accurate weekly KPIs and partner with leadership to deliver insights using SQL, CRM platforms, and modern BI tools.

You’ll automate data pipelines, improve CRM hygiene, and prototype AI-enabled reports for production deployment, while collaborating with cross-functional teams to scale data-driven decisions.

Qualifications

• Prior work in revenue operations, business intelligence, or data analytics.
• Background in vertical SaaS (service industry and payments helpful).
• Proven SQL expertise and experience querying cloud data warehouses.
• Experience with CRM data structures, field mapping, and data-quality workflows.

Responsibilities

• Maintain standing reports and close data-quality gaps.
• Own recurring RevOps reporting: GTM funnel, pipeline, forecast, revenue metrics.
• Support revenue share, reconciliation, and embedded financing reporting.
• Clean, complete, and automate CRM data processes; standardize fields.
• Collaborate with Product Analyst to bring product usage into CRM.
• Prototype reports with AI tools and scale into production BI.

Skills

SQL

CRM data

BI tools

AI prototyping

Cross-functional

EQ

Tools

HubSpot

Salesforce

Snowflake

Job description

Skimmer is seeking a Revenue Operations/Data Analytics professional to own reporting and data quality across go-to-market, finance, and product usage. You’ll drive accurate weekly KPIs and partner with leadership to deliver insights using SQL, CRM platforms, and modern BI tools.

You’ll automate data pipelines, improve CRM hygiene, and prototype AI-enabled reports for production deployment, while collaborating with cross-functional teams to scale data-driven decisions.