Business Intelligence Engineer II, RISC GDA
Teknik, data och digitalt · Data, AI och analys · Business intelligence · Data engineering · Dataanalys
I korthet
Amazon seeks a talented Business Intelligence Engineer II for the RISC GDA team in Karnataka, India. This role involves analyzing data, building metrics, designing automated reporting solutions, and partnering with various teams to drive business decisions and mitigate risks. The ideal candidate has strong analytical skills, experience with BI tools, and knowledge of SQL and Python.
Ansvarsområden
- Creating automated reports and dashboards with BI tools such as Tableau, Quicksight.
- Partnering with Program team, Legal, and Tech stakeholders to understand challenges and provide analysis to help drive program success.
- Providing data support for business and cross-functional partners to address escalations and answer questions using PostgreSQL and AWS solutions.
- Uncovering trends and correlations through mining and analysis to develop insights that can help stakeholders to make effective decisions.
- Designing and executing analytical projects using statistical analysis.
- Build self-service solutions that empower stakeholders to access and analyze data independently.
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, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience.
- 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
- Innovative benefit offerings
- Annual and ongoing learning experiences
- DEI Ambassador Program
- Inclusive culture reinforced within 16 Leadership Principles
#Business Intelligence#Data Analytics#Reporting#Dashboards#SQL#Python#Tableau#Quicksight#AWS