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Business Intel Engineer, Amazon Pay

Amazon

Business Intel Engineer, Amazon Pay

full-timePosted: Aug 26, 2026Updated: Aug 27, 2026Bengaluru, Karnataka, India

Job Description

Amazon's vision is to be the earths most customer centric company . The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. This a senior role. The role requires team-work and building a business perspective. The individual will have to interact extensively with other members within the team, across business lines work in partnership with Machine Learning and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Role Expectations - Ability to do exploratory analysis: Fetch data from systems and analyze trends - Identify consumer segments that need to be actioned to drive adoption of Amazon Pay - Developing India specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs . - Establishing mechanisms for cross functional teams to consume customer insights to improve engagement along the customer life cycle - Work with cross functional teams

Locations

  • Bengaluru, Karnataka, India

Skills Required

  • data visualization using Tableauintermediate
  • oneintermediate
  • scripting languageintermediate
  • data modelingintermediate
  • statistical analysisintermediate

Required Qualifications

  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 2 years)
  • Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) (experience)
  • Experience with scripting language (e.g., Python, Java, or R) (experience)

Preferred Qualifications

  • Master's degree, or Advanced technical degree (degree in advanced technical degree)
  • Knowledge of data modeling and data pipeline design (experience)
  • Experience with statistical analysis, co-relation analysis (experience)

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