Manager, Data Analytics - GTM Analytics
$150k/y-$220k/y
a day ago
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HybridFull-timeSenior
Summary
Datadog is seeking a Manager, Data Analytics - GTM Analytics to join their GTM Strategy & Operations team in New York, NY. The role involves leading a team of data analysts to measure the performance and health of the global GTM organization through scalable reporting and insights.
About the Role
As a GTM Analytics Manager, you will design and build dashboards to track GTM performance, define key performance indicators, lead a high-performing team, analyze trends, collaborate with stakeholders, and deliver insights to support business initiatives. You will also engage with field teams to drive innovation and build scalable analytical frameworks.
About You
Required:
- 5+ years of experience in business analytics, business intelligence, or a related analytical role, preferably in a high-growth SaaS or GTM environment.
- Proven experience managing and developing high-performing analytical or operations teams.
- Proficiency in SQL and strong experience with data visualization tools such as Tableau.
- Advanced Excel/Google Sheets skills; familiarity with CRM (e.g., Salesforce) is a plus.
- Strong understanding of GTM functions and metrics across Sales, Marketing, and Customer Success.
- Excellent communication skills with a focus on clarity, insight, and business impact.
- Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Business, Computer Science); MBA or equivalent experience is a plus.
Preferred:
- Proven ability to translate complex data into actionable insights for both technical and non-technical stakeholders.
- Experience managing and prioritizing multiple projects with cross-functional teams.
Benefits
- Continuous training and career growth.
- New hire stock equity (RSUs) and employee stock purchase plan.
- Generous and competitive US benefits.
- Friendly and inclusive workplace culture.
Datadog
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
New York, NY