Business Intelligence Engineer

AMAZON INDIA PVT LTD

• 3 to 7 yrs
• As per Industry Standards
• location_on Bengaluru/ Bangalore (Karnataka)

• JOB DESCRIPTION

• Key Job Responsibilities
• Develop payment metrics: Design, develop, and maintain a reporting solution for Payment metrics for new and existing payment products. Work with Data engineers and Product managers to define reporting needs.
• Build Self-Service BI: Build self-service tools and dashboards that not only give aggregated metrics but also provide ways to pull the most granular data for defect verification, customer communication, deep-dive, etc.
• Automation & Operation excellence: Build automation tools, support our AWS infrastructure for compliance implementation, upgrades, and optimization.
• Deep dive analysis: Interacting with internal stakeholders to lead business reviews and deep dive analyses. Find and merge disperse data sources to find useful insights.
• You are
  • Customer obsessed: You have a sharp business acumen and are passionate about changing the way customers use data to drive success.
  • Work independently and comfortable with ambiguity: Work independently on a project once the outcome is decided. Capable of working on multiple projects, provide status updates, and prioritize work independently. Set expectations, provide ETAs and update status to various stakeholders.
  • Design & develop best-in-class solutions: Design best in class data pipelines, automation, and reporting solutions that are efficient, scalable, extensible and create automated monitoring and alerts to reduce human intervention.
  • Locations

    • IND, KA, Bengaluru
    • JOB FUNCTION:IT Software : Software Products & Services
    • INDUSTRY:Consumer Durables/FMCG, Warehousing
    • SPECIALIZATION:Data Warehousing
    • QUALIFICATION:ME/ M.Tech./ MS (Engg/ Sciences)Any Graduate
    • EMPLOYMENT TYPE:Full Time

    • KEY SKILLS

      business intelligence, data analysis, problem solving, automation, stakeholder management, bi, data architecture, data modeling, infrastructure, etl.

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