Business Intelligence Engineer, Flex Analytics
Teknik, data och digitalt · Data, AI och analys · Business intelligence · Data engineering · Dataanalys
I korthet
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.
Ansvarsområden
- 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.
Krav
- 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
Önskade kvalifikationer
- 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
Förmåner
- Inclusive culture empowers Amazonians to deliver the best results for customers.
- Workplace accommodations available for individuals with disabilities.
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