Amazon Hiring Drive 2024 For Business Intelligence Engineer | Location Bengaluru

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Amazon Hiring Drive 2024: Amazon Hiring Drive 2024 for its Business Intelligence Engineer. Amazon Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Master’s degree or Advanced technical degree. if you are interested, please apply as soon as possible.

Company Name: Amazon

Role: Business Intelligence Engineer

Location: Bengaluru

Experience: 2+ years

Qualification: Master’s degree, or Advanced technical degree

Batch: Any

Job Type: Full Time

Salary:16.0 LPA (Expected)

Amazon Hiring Drive 2024

Job Description:

  • Amazon’s Consumer Payments organization is seeking a highly quantitative, experienced Business Intelligence Engineer to drive the development of analytics and insights.
  • You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment.
  • In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses.
  • Our team offers a unique opportunity to build a new set of analytical experiences from the ground up.
  • You will be part the team that is focused on acquiring new merchants from around the world to payments around the world.
  • The position is based in India but will interact with global leaders and teams in Europe, Japan, US, and other regions.
  • You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines.
  • You will be comfortable thinking big and diving deep.
  • A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred.

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Requirements:

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

Responsibility:

  • Partnering with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement
  • Fluency in analytical communication to translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities
  • Proactively make and justify recommendations based on advanced statistical techniques, deep familiarity with the customer or developer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry
  • Determine best-in-class performance reports and automate reporting for regular metrics, identify areas of opportunity to automate, scale ad-hoc analyses, build and inform BI too improvements
  • Providing requirements for telemetry and data structure to improve ability to extract data efficiently and provide the team insights faster
  • Analyze data and find insights to either drive strategic business decisions or to drive incremental signups or revenue.
  • Define and develop business critical metrics and reports across all international business levers, key performance indicators, and financials.
  • Own alignment and standardization of analytical initiatives across the global business teams
  • Drive efforts across international business leaders, BI leaders and executive management across Europe, Asia and North America.
  • Own key executive reports and metrics that are consumed by our VPs and Directors
  • Provide thought leadership in global business deep dives across a variety of key performance indicators

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