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Business Intelligence Engineer II at Amazon

Short Description:

The Business Intelligence Engineer II role within Global AR Data Analytics at Amazon seeks a skilled BI Engineer to pioneer extensive reporting structures. Responsibilities include utilizing big data for analytics, collaborating with stakeholders, optimizing data pipelines, and generating Tableau workbooks. This role demands 5+ years of data analysis experience, proficiency in data visualization tools, SQL expertise, and familiarity with data modeling and statistical analysis tools. Amazon's dynamic culture and global environment offer a platform to drive innovation and contribute to enhancing Free Cash Flow through value-added analytics in the Order-to-Cash cycle.


 

Position: Business Intelligence Engineer II, Data Analytics, Global AR Data Analytics

Job ID: 2383259 | ADCI HYD 13 SEZ

DESCRIPTION

As a Business Intelligence Engineer II within the Global Accounts Receivable Data Analytics (GARDA) team, you will play a pivotal role in a highly dynamic, entrepreneurial analytics unit. We are in search of an exceptionally skilled BI Engineer with a visionary approach and strong analytical capabilities. In this role, you will be responsible for creating some of the largest reporting structures in the Accounts Receivable BI domain, ultimately driving business growth through data analytics. This presents a unique opportunity to build one of the most substantial Finance Operations BI ecosystems in the present-day landscape. As a member of our team, you will rapidly expand your expertise while thriving in Amazon's fast-paced, Day 1 culture.

Key Responsibilities

  • Utilize big data for data analytics to solve real-world business challenges.
  • Collaborate closely with business stakeholders to gather requirements, define objectives, and establish performance metrics.
  • Optimize and streamline data pipelines from the Finance Operations Data Lake to the visualization environment.
  • Develop and manage Tableau workbooks.
  • Offer insights and recommendations on technical matters to data engineering and software engineering teams.
  • Contribute to data design, data modeling, and data extraction/transform processes.
  • Work within a truly global environment, collaborating with diverse functional teams.

A Day in the Life

Are you a seasoned Business Engineer eager to lead innovation in the data and analytics field?

As a BI Engineer, your role will involve spearheading the development of reporting and analytics across Amazon's global portfolio of businesses and processes. You will generate reports and analyses to facilitate decision-making and metrics management. In this position, you will translate business challenges into data-centric problems, collaborate with other engineering teams to acquire necessary data, produce reports, and continually enhance data pipelines and transformations.

About the Team

Global Accounts Receivable manages all AR processes across Amazon's various businesses and regions. The Global AR Data Analytics (GARDA) team supports AR-related decision-making. GARDA's mission revolves around optimizing the Order-to-Cash cycle by offering timely data, insights, and predictions to our leadership and operations teams. In close collaboration with our stakeholders, we establish and implement uniform metrics, utilize data from a single, reliable source, deliver automated self-service standard reporting, and develop predictive analytics. Our ultimate goal is to actively contribute to the enhancement of Amazon's Free Cash Flow through value-added analytics.

We welcome applications from candidates willing to work at one of the following locations:

  • Hyderabad, Telangana, India

BASIC QUALIFICATIONS

  • Minimum of 5 years of experience in data analysis and interpretation, including work with Redshift, Oracle, NoSQL, etc.
  • Proficiency in data visualization tools such as Tableau, Quicksight, or similar applications.
  • Expertise in data modeling, data warehousing, and ETL pipeline development.
  • Strong ability to write complex SQL queries.
  • Experience with statistical analysis tools like R, SAS, and Matlab.
  • Competence in using SQL to extract data from databases or data warehouses, along with scripting skills in Python for data processing and modeling.

PREFERRED QUALIFICATIONS

  • Familiarity with AWS solutions, including EC2, DynamoDB, S3, and Redshift.
  • Experience in data mining, ETL processes, and the use of databases in a business environment with large-scale, complex datasets.

Please click here to apply.


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