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Senior Product Analyst - Product Data Science - New Relic

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Job Title
Senior Product Analyst - Product Data Science
Job Location
Bangalore, India
Job Description

Your opportunity

Our Product Analytics team is looking for a Senior Analyst to help us uncover deep insight into our customer and user engagement across the product portfolio, and deliver relevant and measurable intelligence to Product leadership. Our goal is maturing the analytic capabilities of our product 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

  • Conduct in-depth data analysis to identify trends, patterns, user behaviors and corresponding business impact to inform product development decisions.
  • Utilize data science techniques and statistical methods to conduct exploratory analyses and develop predictive models that drive business insights and decision-making.
  • Develop and maintain a balanced set of KPIs and performance metrics that assess the success of product initiatives, including product adoption, revenue impact, user and customer retention.
  • Utilize various data analysis tools and methodologies to extract actionable insights from large datasets, covering both product usage and financial data.
  • Create and present data-driven reports and presentations to stakeholders, demonstrating how product improvements positively impact the bottom line
  • Stay current with best practices in data analysis and data science to make well-informed data-driven recommendations.



This role requires

  • 3 to 7 years of relevant experience.
  • Proficiency in SQL and python for data analysis.
  • Experience with data viz tools such as Tableau, Looker or similar
  • Knowledge of basic data science methods - regression, classification, tree-based and time series methods.
  • Strong technical knowledge of end-to-end analytics (building pipelines, data modeling, generating and synthesizing insights)
  • Prior experience (min 2 years) in product analytics. Strong product and business intuition
  • Ability to influence and up-level stakeholder requirements from ad-hoc requests to planned data products to have a scaled operational and strategic impact.
  • Independently develop and execute on projects including wireframes for self-service dashboards, data reports, and ad hoc analytics capabilities.
  • Strong project management skills - Independently execute, document, and communicate. Influence stakeholders and partners while requirement gathering, designing data models and presenting insights.
  • Ability to storytell - distill complex nuanced findings into actionable and precise insights.

Bonus points if you have

  • High familiarity with data platforms and applications such as Sagemaker, Jupyter, Snowflake, Airflow, FiveTran, DBT
  • Experience with Agile/Scrum methodologies
  • Prior experience in data science with a track record of successfully deploying the work for business impact
 

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

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New Relic Headquarters Location

San Francisco, CA

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New Relic Company Size

Between 2,000 - 5,000 employees

New Relic Founded Year

2008

New Relic Total Amount Raised

$214,500,000

New Relic Funding Rounds

View funding details
  • Private Equity

    $100,000,000 USD

  • IPO

    $0

  • Private Equity

    $80,000,000 USD

  • Series Unknown

    $15,000,000 USD

  • Series C

    $10,000,000 USD

  • Series B

    $6,000,000 USD

  • Series A

    $3,500,000 USD