Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst, Go-to-Market in the United States.

As a Data Analyst embedded within the Go-to-Market (GTM) organization, you will play a central role in transforming raw data into actionable insights that drive revenue strategy and operational efficiency. You will partner closely with Revenue Operations leadership to define business questions, build robust data assets, design dashboards, and deliver analyses that influence decision-making across Sales, Marketing, and Customer Success. This role spans the full analytical lifecycle, from data extraction and modeling to visualization and communication of insights. You will also contribute to maturing data products and ensuring high-quality standards for GTM analytics. The ideal candidate combines technical expertise, business acumen, and a collaborative mindset to operate in a fast-paced, high-growth environment.

Accountabilities:

• Serve as the primary analytical counterpart to GTM leadership, supporting Sales, Marketing, and Customer Success initiatives
• Design, build, and maintain dashboards and reports that provide actionable insights for revenue growth, pipeline efficiency, and retention
• Perform end-to-end data analysis, including extraction, transformation, modeling, and visualization of metrics
• Collaborate with cross-functional teams to define requirements, optimize data processes, and improve GTM operations
• Contribute to the development of internal data products and ensure data accuracy, consistency, and usability
• Communicate insights effectively to stakeholders, providing recommendations that drive strategic decisions

Requirements:

• 3+ years of experience in data analysis, preferably embedded in RevOps or GTM functions in B2B SaaS
• Expertise in SQL for data extraction and analysis, and proficiency with modern data warehouses
• Strong skills in data visualization and BI tools such as Looker, Tableau, or similar platforms
• Experience in Python for data analysis and visualization
• Analytical mindset with strong statistical reasoning and attention to detail
• Excellent written and verbal communication, capable of collaborating with business stakeholders
• Ability to manage multiple priorities in a fast-paced, high-growth environment
• Familiarity with GTM motions, including sales, marketing, and customer success metrics, is highly desirable

Benefits:

• Competitive salary and equity opportunities
• Unlimited PTO with encouragement to take time off
• Fully paid parental leave (minimum 12 weeks, region-dependent)
• Top-tier health insurance for employees and dependents (US and international coverage)
• Generous equipment, software, and office setup budget
• $100/month education budget with additional conference or training coverage available
• Collaborative, remote-friendly work environment with a focus on growth, impact, and work-life balance

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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