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The world’s best engineering teams rely on New Relic to visualize, analyze and troubleshoot their software. New Relic One is the most powerful cloud-based observability platform built to help companies create more perfect software. Learn why customers trust New Relic for improved uptime and performance, greater scale and efficiency, and accelerated time to market at newrelic.com.

We are seeking a dedicated Senior Data Analyst to join our GTM Analytics team and play a vital role in uncovering valuable insights about our customers and user engagement across our product portfolio. Your main focus will be delivering actionable intelligence to our GTM and Product leadership, improving our sales organization's analytical capabilities, and harnessing the vast amount of business, user, and customer data generated by New Relic.

This is an exciting opportunity to work in a fast-paced and dynamic environment, collaborating with cross-functional teams and applying your analytical skills to drive data-driven decision-making. Additionally, you will define and test hypotheses, and deliver practical insights through data visualizations. You will succeed by having an eye on the big picture and being able to challenge the status quo. Ask the hard questions to ensure investment of time and resources is warranted.

What you'll do

• Collaborate with GTM leaders to develop roadmaps that empower customer-facing teams and get results, encompassing both operational and strategic projects supported by analytics.
• Independently lead and drive key projects that anticipate the needs of executive leadership, ensuring successful delivery and impactful results.
• Identify areas where data science and data-driven insights can make a significant impact on GTM, and take ownership of prioritizing and delivering these projects.
• Design and implement New Relic's key performance metrics aligned with our GTM strategy.
• Define scalable data model requirements and collaborate with Data Engineering for successful implementation.
• Lead agile delivery of analysis, ensuring clear definition, implementation, supervision, and communication.

This role requires

• Bachelor's degree in a quantitative field and a minimum of 8 years of relevant work experience; or Master's degree with a minimum of 6 years of experience, or PhD with a minimum of 3 years of experience in a quantitative field.
• Previous experience in Sales and GTM analytics, showcasing a strong business sense.
• Profound technical expertise in end-to-end analytics, including building pipelines, data modeling, generating insights, and familiarity with common data science techniques.
• Proficiency in SQL and experience with data visualization tools like Tableau, Looker, or similar.
• Knowledge of basic data science methods, such as regression, classification, tree-based, and time series methods.
• Strong business intuition and curiosity regarding GTM operations.
• Proven success in driving prioritization across multiple partners and influencing up-level requirements to have a strategic impact.
• Ability to independently complete projects, including the development of self-service dashboards, data reports, and ad hoc analytics capabilities.
• Proven project management skills, including implementing, documenting, and communicating optimally with collaborators and partners during requirement gathering, data modeling, and visualization.
• Ability to distill sophisticated findings into practical and detailed insights, with strong storytelling skills.

Bonus points if you have

• High familiarity with data platforms and applications like Databricks, Jupyter, Snowflake, Airflow, FiveTran, DBT.
• Previous experience in Sales and GTM analytics, showcasing a strong business sense.
• Experience with Agile/Scrum methodologies.
• Background in data science with a track record of deploying work for impactful business outcomes