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Lead Data Analyst

New Relic, Inc.
Houston, Texas
Full-time
  • Lead Data Analyst Lead Data Analyst Lead Data Analyst Req ID FY S&M #7 Location(s) Austin, Texas, USA; Charlotte, North Carolina, USA;
  • Chicago, Illinois, USA; Detroit, Michigan, USA; Houston, Texas, USA; Miami, Florida, USA; Portland, Oregon, USA; Seattle, Washington, USA;

Work arrangement(s) Fully Remote (works exclusively from home) Your opportunity 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. What you'll do

  • 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.

This role requires

  • 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 if you have

  • 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.

Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day.

We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us including nontraditional ones.

Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.

If you require a reasonable accommodation to complete any part of the application or recruiting process, please visit

We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

Our hiring process

Please note that visa sponsorship is not available for this position.

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification.

Note : Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.

We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.

Headhunters and recruitment agencies may not submit resumes / CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with 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.

Review our Applicant Privacy Notice at

Estimated Base Pay Range : $ , - $ ,

The pay range above represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan.

Pay within this range varies by work location and may also depend on job-related factors such as an applicant’s skills, qualifications, and experience.

New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, mental health benefits, a (k) plan and match, flex time-off, paid holidays, volunteer time off, and other competitive benefits designed to improve the lives of our employees.

Wage - midpoint , Wage - minimum , #LI-GK1 #LI-Remote This field has no functionality and it was added so that we could display the separator above

30+ days ago
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