The Job

Business Intelligence Engineer, Flex Analytics

Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Engineering · Data Analysis

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In short

Amazon Flex Analytics is seeking a Business Intelligence Engineer to build end-to-end BI solutions for their global data platform. This role involves designing and developing scalable reports and dashboards, performing in-depth data analysis using SQL and Python, and providing thought leadership to drive data-driven decision-making.

Responsibilities

  • Design, develop and maintain scaled, automated, user-friendly systems, reports and dashboards that support analytical and business needs for forecasting and pricing.
  • Use analytical and statistical rigor to solve complex problems and drive business decisions that help achieve strategic goals.
  • Write high quality SQL code to retrieve and analyze data from database tables (primarily Redshift) and the data lake.
  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
  • Provide thought leadership and business analysis support.

Requirements

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
  • Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
  • Experience using Python scripting to process data for modeling

Desired Qualifications

  • Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
  • Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Benefits

  • Inclusive culture empowers Amazonians to deliver the best results for customers.
  • Workplace accommodations available for individuals with disabilities.
#Business Intelligence#Analytics#Data Platform#Data Engineering#Forecasting#Pricing#SQL#Redshift#Tableau#Quicksight#ETL
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Company

Amazon

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Hyderabad, India

Qualification

Bachelor, Master, Undergraduate

Applicants

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