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Lead Data Analyst

4 weeks ago

Austin, Texas, United States New Relic, Inc. Full time
Lead Data Analyst

We are seeking a highly skilled Lead Data Analyst to join our GTM Analytics team. As a key member of our team, you will be responsible for delivering actionable intelligence to our GTM and Product leadership. Your expertise in data analysis and visualization will enable you to design and implement key performance metrics aligned with our GTM strategy.

Key Responsibilities:

  • Partner with GTM leaders to develop comprehensive roadmaps that empower customer-facing teams and drive results.
  • 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.

Requirements:

  • Bachelor's degree in a quantitative field and a minimum of 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.

Bonus Points:

  • 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.

About New Relic:

New Relic is proud to be an equal opportunity employer. We foster a diverse, equitable, and inclusive environment, free from all types of discrimination, so our Relics can thrive. We hire people with different backgrounds, experiences, abilities and perspectives.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.

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