Business Intelligence Engineer, APP Global

Global e-commerce and technology company leading in retail, cloud computing, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
2+ years of experience
Enterprise SaaS · Finance

Description For Business Intelligence Engineer, APP Global

Amazon's Consumer Payments organization is seeking a talented Business Intelligence Engineer to join their global team. This role offers a unique opportunity to shape analytics and insights that drive strategic decisions at a global scale. You'll be part of the team focused on acquiring new merchants worldwide for payments solutions, working with leaders across Europe, Japan, US, and other regions from the base in India.

The ideal candidate is highly analytical, resourceful, and customer-focused, with the ability to work independently under time constraints. You'll be responsible for developing sophisticated analytics, creating and automating performance reports, and translating complex data into actionable insights for executive stakeholders. This role combines technical expertise with business acumen, requiring skills in data analysis, visualization, and statistical methods.

Working at Amazon's Consumer Payments organization means being part of a team that's building new analytical experiences from the ground up. You'll have the opportunity to influence global strategies through data-driven insights, collaborate with cross-functional teams, and drive business growth through analytical excellence. The role offers exposure to international markets and the chance to work with cutting-edge analytics tools and technologies.

If you're passionate about data, enjoy solving complex problems, and want to make an impact on a global scale, this role offers the perfect blend of technical challenges and business impact. You'll be joining a company known for its innovation, customer obsession, and long-term thinking, with opportunities for professional growth and development.

Last updated 15 days ago

Responsibilities For Business Intelligence Engineer, APP Global

  • Drive development of analytics and insights for global executive management
  • Partner with engineering, product, business and finance teams to create KPIs
  • Translate data into actionable insights for stakeholders
  • Create analytical insights to identify key priorities
  • Determine and automate best-in-class performance reports
  • Own key executive reports and metrics consumed by VPs and Directors
  • Drive efforts across international business leaders and BI leaders
  • Own alignment and standardization of analytical initiatives across global business teams

Requirements For Business Intelligence Engineer, APP Global

Python
Java
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with industry analytics visualization tools and statistical methods
  • Experience with scripting language (Python, Java, or R)
  • Knowledge of data modeling and data pipeline design (preferred)
  • Experience with statistical analysis, co-relation analysis (preferred)
  • Master's degree or Advanced technical degree (preferred)

Interested in this job?

Jobs Related To Amazon Business Intelligence Engineer, APP Global

Data Engineer, Content Analysis & Strategy (CAST)

Data Engineer position at Amazon Music focusing on big data analytics, ETL pipelines, and AWS technologies to drive music customer insights and business value.

Business Intelligence Engineer, Global Transportation Services

Business Intelligence Engineer role at Amazon's Global Transportation Services, focusing on data analytics and transportation network optimization.

BI Engineer - Music Merch, Amazon Music - Content Analysis & Strategy

BI Engineer position at Amazon Music focusing on data analysis and insights for the Music Merchandise business

Data Engineer, Partner Experience

Data Engineer role at Amazon Prime Video focusing on building and maintaining data infrastructure for partner experience analytics using AWS services.

Software Development Engineer, Fintech

Build and architect large-scale financial data systems at Amazon, focusing on big data processing and machine learning implementations.