Data Analyst, GTM Analytics
New
J
JobgetherData Analytics
Remote work flexibility within the United States.Full-TimeMiddle
Salary$98,900 - $228,700 USD
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLBusiness IntelligenceProduct AnalyticsData visualizationData modelingR
Requirements
- 5+ years of experience delivering business analytics solutions.
- At least 2 years of experience in go-to-market, revenue operations, or product analytics.
- Advanced SQL skills with experience analyzing large datasets in cloud-based data platforms.
- Experience building analytical models, dashboards, and reports using business intelligence and data visualization tools.
- Proficiency with Python or R for data preparation, analysis, and interpretation.
- Strong understanding of SaaS and consumption-based business metrics, customer lifecycle analysis, forecasting, and performance measurement.
- Experience partnering with cross-functional teams to deliver reliable and impactful analytics solutions.
- Ability to communicate complex technical findings clearly and effectively.
- Strong problem-solving skills with a focus on turning data into actionable business recommendations.
- Experience using AI-assisted analytics or productivity tools to improve workflows is preferred.
Responsibilities
- Develop trusted analytics solutions by collaborating with Sales, Customer Success, Finance, and Product teams across the full lead-to-revenue journey.
- Build scalable dashboards, analytical models, and reporting solutions that improve business visibility and operational performance.
- Analyze customer, revenue, and product data to identify trends, risks, and opportunities across pre-sales, sales cycles, renewals, support, and customer success activities.
- Translate analytical findings into clear data stories that support executive insights, business reviews, and cross-functional strategic decisions.
- Partner with data engineering teams to validate data quality, troubleshoot reporting issues, and enhance analytics reliability.
- Support analytics adoption by defining success metrics, measuring business impact, and enabling self-service reporting capabilities.
- Continuously improve analytical processes by leveraging modern tools, automation, and AI-assisted analytics approaches.
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