Senior Analyst

1 week ago

Bengaluru, Karnataka, India New Relic, Inc. Full time
Senior Analyst - Sales Data Science

Senior Analyst - Sales Data Science

Senior Data Analyst Req ID 2 Location(s) Bangalore, India; Work arrangement(s) Hybrid (works from home and New Relic office throughout the week), Office (works primarily in a New Relic office) 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 leadershipConduct 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


Bachelor's degree in quantitative field (Business, Economics, Statistics, Computer Science, Engineering or related field) and 8 years (min.) related work experience; or Masters degree in quantitative field and 6 years (min.) or PhD in quantitative field and 3 years (min.).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 similarIn-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 businessPrior 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 visitOur hiring processPlease 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.

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.

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