Business Intelligence Engineer, Amazon

4 - 9 years

30 - 40 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions.
  • As a Business Intelligence Engineer in the CSP team, you will be responsible for analyzing petabytes of data to identify business trends and points of customer friction, and developing scalable solutions to enhance customer experience and safety.
  • You will work closely with internal stakeholders to define key performance indicators (KPIs), implement them into dashboards and reports, and present insights in a concise and effective manner.
  • This role will involve collaborating with business and tech leaders within ASCS and cross-functional teams to solve problems, create operational efficiencies, and deliver against high organizational standards.
  • You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively uncover new insights that drive decision-making by senior leadership.
  • As a key member of the CSP team, you will continually raise the bar on both quality and performance.
  • You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives.
  • There will be a steep learning curve, adding a fair amount of business skills to the individual.
  • Work closely with BIEs, Data Engineers, and Scientists in the team to collaborate effectively with product managers and create scalable solutions for business problems
  • Create program goals and related metrics, track progress, and manage through obstacles to help the team achieve objectives
  • Identify opportunities for improvement or automation in existing data processes and lead the changes using business acumen and data handling skills
  • Ensure best practices on data integrity, design, testing, implementation, documentation, and knowledge sharing
  • Contribute to supplier operations strategy development based on data analysis
  • Lead strategic projects to formalize and scale organizational processes
  • Build and manage weekly, monthly, and quarterly business review metrics
  • Build data reports and dashboards using SQL, Excel, and other tools to improve business efficiency across programs
  • Understand loosely defined or structured problems and provide BI solutions for difficult problems, delivering large-scale BI solutions
  • Provide solutions that drive the teams business decisions and highlight new opportunities
    Improve code quality and optimize BI processes
  • Demonstrate proficiency in a scripting language, data modeling, data pipeline design, and applying basic statistical methods (e.g., regression) for difficult business problems
    A day in the life A day in the life of a BIE-II will include: Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making Leading reporting and analytics initiatives to drive data-informed decision making Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight Transforming complex business requirements into actionable analytics solutions.

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Software Development

Seattle WA

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