Data Analyst, Revenue Analytics

Madhive • New York, NY

1d • $75,000 - $89,000

About The Position

Madhive is looking for a Data Analyst to join our Go-To-Market Strategy team. In this role, you will act as the analytical engine for our internal stakeholders, supporting the Sales, Finance, and Client Services leadership teams. You won’t just pull data; you will help build the dashboards, models, and reporting infrastructure that drive our executive decision-making.
We need someone who is technically proficient in SQL and BI tools, but also business-savvy enough to understand how a fluctuation in CPMs or fill rates impacts the bottom line. You will translate complex datasets into clear, actionable executive reports.

Requirements

• Bachelor’s degree in a quantitative field (Economics, Finance, Stats, CS, etc.).
• 3–6 years of experience in data analytics, business intelligence, or revenue analytics.
• Experience with BI tools (Looker, Tableau) for creating external-facing views.
• Strong SQL proficiency is required.
• Superb analytical thinking and problem-solving skills.
• Clear communicator with the ability to explain findings to non-technical audiences.

Nice To Haves

• Experience with Python/R is a plus.
• Experience in AdTech, media, or programmatic advertising is highly preferred.

Responsibilities

• Executive Reporting & BI: Design, build, and maintain high-impact Looker dashboards that track company KPIs, revenue pacing, and sales pipeline health for internal leadership.
• Ad Hoc Analysis: Serve as the first line of defense for internal data requests, investigating revenue trends, discrepancies, and performance metrics to support Finance and RevOps.
• Data Integrity & Process: Collaborate with Revenue Operations to ensure Salesforce and platform data is accurate, clean, and structured properly for downstream analysis.
• Operational Insights: proactive identify bottlenecks in the sales cycle or client lifecycle through data analysis and recommend process improvements.
• Cross-Functional Collaboration: Partner with Product and Engineering to understand new data points and ensure they are accessible for business reporting.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level