Lead Data Analyst

We are seeking a dedicated Lead Data Analyst to join our GTM Analytics team, focusing on delivering actionable intelligence to our GTM and Product leadership. You will enhance our sales organization's analytical capabilities by leveraging vast amounts of business, user, and customer data generated by New Relic. This role involves independently leading high-impact projects, designing key performance metrics aligned with our GTM strategy, and collaborating with cross-functional teams to drive data-driven decision-making.

This is an exciting opportunity to work in a fast-paced and dynamic environment, applying advanced data science techniques and big data technologies to deliver robust analytical solutions. Success in this role requires a strategic mindset, the ability to challenge the status quo, and strong storytelling skills to distill complex findings into practical insights. You will deliver practical insights through data visualizations and ensure that time and resources are invested wisely. Additionally, you will communicate complex analytical results clearly and compellingly to executive leadership, influencing strategic decisions and driving business impact.

• Partner with GTM leaders to develop comprehensive roadmaps that empower customer-facing teams and drive results, encompassing both operational and strategic projects supported by analytics.
• Independently lead and drive high-impact projects that meet the needs of executive leadership, ensuring timely delivery and meaningful outcomes.
• Identify opportunities where data science and data-driven insights can significantly impact GTM operations, taking ownership of prioritizing and delivering these projects.
• Design and implement key performance metrics aligned with the company's GTM strategy, ensuring these metrics provide actionable insights.
• Define scalable data model requirements and collaborate closely with Data Engineering for successful implementation and maintenance.
• Lead the agile delivery of analytical projects, ensuring clear definition, implementation, monitoring, and communication of progress and results.
• Work with cross-functional teams, including marketing, finance, product, and engineering, to drive data-driven decision-making across the organization.
• Utilize a consulting mindset to provide strategic insights and recommendations, leveraging analytics to inform and influence business strategies.
• Apply advanced data science techniques where applicable, to enhance the depth and breadth of analyses and insights.

• Bachelor's degree in a quantitative field and a minimum of 10 years of relevant work experience; or Master's degree with a minimum of 8 years of experience, or PhD with a minimum of 5 years of experience in a quantitative field.
• Extensive experience in Sales and GTM (Go-To-Market) analytics, demonstrating a robust business acumen
• Prior experience leading analytics teams and projects, with a proven track record of driving business impact through data
• Deep expertise in end-to-end analytics processes, including building data pipelines, data modeling, generating insights, and utilizing common data science techniques
• Advanced proficiency in SQL and Python
• Significant experience with data visualization tools such as Tableau, Looker, or similar platforms
• In-depth understanding of data science methods, including regression, classification, tree-based methods, and time series analysis
• Strong business intuition and curiosity about GTM operations
• Proven ability to drive prioritization across multiple stakeholders and influence strategic decisions
• Demonstrated success in independently completing projects, including the development of self-service dashboards, data reports, and ad hoc analytics capabilities
• Excellent project management skills, with experience in implementing, documenting, and effectively communicating with collaborators and partners during requirement gathering, data modeling, and visualization
• Exceptional ability to distill complex findings into actionable and clear insights
• Strong storytelling skills to convey data-driven narratives to a variety of audiences

• Experience in a consulting role, particularly within analytics or data science domains, providing strategic insights and recommendations to clients.
• Proficiency with advanced data science techniques, such as neural networks, natural language processing (NLP), or unsupervised learning methods.
• Experience with Agile/Scrum methodologies.
• Background in data science with a track record of deploying work for impactful business outcomes.