Data Insights and Analytics Engineer

NVIDIA is the world leader in accelerated computing, pioneering solutions in AI and digital twins that transform industries.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Data Insights and Analytics Engineer

NVIDIA, the world leader in accelerated computing, is seeking a Data Insights & Analytics Engineer for their Unified Commerce Platform (UCP). This role is crucial in transforming extensive commerce data into actionable intelligence that drives strategic decision-making across the organization and external partners. The position combines technical expertise in data analytics with business acumen, focusing on uncovering patterns in payment behaviors, fraud indicators, and revenue optimization opportunities.

The ideal candidate will work at the intersection of commerce, analytics, and technology, developing comprehensive solutions using tools like Apache Spark, Databricks, and various BI platforms. With a required 5+ years of experience in data analytics, you'll be responsible for building scalable reporting frameworks, developing fraud detection models, and creating compelling data narratives that drive business decisions.

This role offers an opportunity to work with cutting-edge technology at a company that's transforming the world's largest industries through AI and digital twins. You'll be part of a team that tackles complex challenges in payment analytics, customer segmentation, and revenue optimization, while collaborating with cross-functional stakeholders to deliver impactful insights.

The position requires strong technical skills in SQL, Python, and data visualization tools, combined with business understanding of financial metrics and risk indicators. Located in either Pune or Bengaluru, India, this role provides an excellent opportunity to work with a global leader in technology while developing and implementing advanced analytics solutions that directly impact business performance.

Last updated 5 hours ago

Responsibilities For Data Insights and Analytics Engineer

  • Design and develop comprehensive analytics solutions and interactive dashboards for subscription metrics
  • Build robust reporting frameworks with scalable solutions
  • Develop payment analytics, fraud detection models, and chargeback analysis frameworks
  • Transform complex data into executive-level presentations
  • Create attribution analytics and customer segmentation models
  • Collaborate with stakeholders to translate business questions into technical requirements
  • Research and implement advanced analytics techniques
  • Establish data validation frameworks and monitoring systems

Requirements For Data Insights and Analytics Engineer

Python
  • Bachelor's degree in Data Science, Statistics, Business Analytics, or related field
  • 5+ years of experience in data analytics
  • Proficiency with Apache Spark and Databricks
  • Strong proficiency in SQL and data analysis programming languages (Python, R)
  • Experience with business intelligence tools (AWS Quicksight, Tableau, Power BI, Looker)
  • Knowledge of financial metrics, payment KPIs, and risk indicators
  • Experience translating complex transactional data into business insights
  • Understanding of fraud analytics and payment performance metrics

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