Senior Analyst - GTM / Sales Data Science - New Relic

View Company Profile

Job Title

Senior Analyst - GTM / Sales Data Science

Job Location

Bangalore, India

Job Listing URL

https://job-boards.greenhouse.io/newrelic/jobs/4429794008?gh_jid=4429794008

Job Description

Your opportunity

Our GTM Analytics team is looking for a Senior GTM Analyst to help us uncover deep insight into our customer and user engagement across the product portfolio, and deliver relevant and measurable intelligence to GTM and Product leadership. Our goal is maturing the analytic capabilities of our sales organization, and realizing what is possible with the incredible amount of business, user, and customer data New Relic generates.

As a motivated self-starter you will be able to work in a fast faced, ambiguous environment. Proven attention to detail and an extensive eye for business will allow you to work efficiently with business partners across Marketing and Sales, Product and Engineering to build business narratives and metrics for success. 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

Work with GTM leaders to develop roadmaps that empower our customer facing teams to deliver results. This includes both operational projects (metrics, reporting, visualizations) as well as insights and data science led strategic projects.
Independently scope and drive key projects that anticipate the needs of executive leadership
Conduct advanced data analysis using statistical methods, machine learning, and other data science techniques to identify opportunities for optimizing the sales strategy for our product.
Collaborate closely with the sales teams to understand customer behavior, market trends, and competitive landscape, providing actionable insights to inform sales tactics.
Develop predictive models and algorithms to forecast sales trends, customer churn, and other key performance indicators that influence product sales.
Create and maintain data visualizations, dashboards, and reports tailored to the sales team's needs, enabling them to make informed decisions.
Work collaboratively with product development teams to identify features and enhancements that can positively impact sales performance.
Provide strategic recommendations based on data insights to improve the overall sales funnel and customer acquisition process.
Ensure data quality and integrity by implementing and maintaining data governance standards.
Stay current with industry trends in data science and sales analytics to continually enhance the effectiveness of our sales strategies.

This role requires

4 to 7 years of relevant work experience in Data Analytics
Bachelor's degree in quantitative field (Business, Economics, Statistics, Computer Science, Engineering
Strong proficiency in data science tools and programming languages such as Python, R.
Proficiency in SQL and experience with data viz tools such as Tableau, Looker or similar
In-depth knowledge of statistical modeling, machine learning algorithms, and predictive analytics.
Excellent communication skills with the ability to convey complex findings to technical and non-technical stakeholders, particularly in the context of influencing sales strategies.
Strong project management skills - Independently execute, document, communicate. Influence stakeholders and partners while requirement gathering, designing data models and visualization.
Solid understanding of data privacy and security best practices.

Bonus points if you have

Prior experience in GTM Analytics working with senior leaders in enterprise business
Prior background in building operational metrics for a GTM org. from the ground up.
Experience in building ML based customer acquisition, expansion and retention models.
Experience with time series forecasting specially in a sales context.

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 reach out to resume@newrelic.com.

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

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.

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 https://newrelic.com/termsandconditions/applicant-privacy-policy

View Job Listing