Business Analyst I IES ShopEx
Business Analyst I IES ShopEx
Posted on :
24-04-2025
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1 Vacancy
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Job Description
Are you analytically sharp and passionate about applying advanced analytics to impact business decisions Come and be a driving force of the Amazons International Emerging Stores Shopping experience team. Amazon IES Shopping team owns the charter for defining the shopping experience across multiple category needs for Amazons emerging markets. We are a large product organization solving key customer problems through Customer Insights Tech development and Machine Learning capabilities. We work backwards of emerging customer needs and build solutions to scale these globally. We build adaptive experiences that adapt to the customer category and country whom we serve.
Key job responsibilities
The candidate will: Build scalable solutions and selfserve platforms that will provide data/KPIs to inform business decision making Investigate data sources across Amazon and expand existing device data infrastructure Identify develop manage and execute analyses to uncover areas of opportunity and present written business recommendations that will help grow the business Develop a thorough understanding of customer behavior and external business drivers to inform decision making Analyze key insight trends and build models that predict customer behavior using statistical rigor to simplify and provide thought leadership to device product and marketing groups Collaborate with finance marketing and product management as a leader of ongoing analytical support BASIC
QUALIFICATIONS Bachelors degree or higher in a quantitative/technical field (e.g. Computer Science Statistics Engineering). 2 years of handson experience writing SQL queries. Experience with building and maintain basic data artifacts (e.g. ETL data models queries).Experience with AWS services including S3 Redshift EMR Kinesis and RDS. Experience in working and delivering endtoend projects independently. Knowledge of distributed systems as it pertains to data storage and computing. Experience with one or more data visualization tools (e.g. Tableau Quicksight PowerBI) and statistical methods (e.g. ttest Chisquared). 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Knowledge of SQL and data warehousing concepts Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
PREFERRED QUALIFICATIONS Inquisitive mindset with proven problem solving ability and a passion for big data. Experience with building multidimensional data models to serve as a foundation for future analyses Experience building/operating highly available distributed systems of data extraction ingestion data modelling and processing of large data sets Demonstrate proficiency with various approaches in regression classification and cluster analysis Knowledge and experience in data visualization/reporting software (e.g. Tableau). Advanced SQL / datamining skills and analytical tools (like R / Python / SAS)
About the team
Amazon IES Shopping experience team owns the charter for defining the shopping experience across key country and category needs for Amazons emerging markets. We are a large product organization solving key customer problems through Customer Insights Tech development and Machine Learning capabilities. We work backwards of emerging customer needs and build solutions to scale these globally.
1 years of tax finance or a related analytical field experience
2 years of complex Excel VBA macros writing experience
Bachelors degree or equivalent
Experience defining requirements and using data and metrics to draw business insights
Experience with SQL or ETL
Experience working with Tableau
Experience using very large datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
The candidate will: Build scalable solutions and selfserve platforms that will provide data/KPIs to inform business decision making Investigate data sources across Amazon and expand existing device data infrastructure Identify develop manage and execute analyses to uncover areas of opportunity and present written business recommendations that will help grow the business Develop a thorough understanding of customer behavior and external business drivers to inform decision making Analyze key insight trends and build models that predict customer behavior using statistical rigor to simplify and provide thought leadership to device product and marketing groups Collaborate with finance marketing and product management as a leader of ongoing analytical support BASIC
QUALIFICATIONS Bachelors degree or higher in a quantitative/technical field (e.g. Computer Science Statistics Engineering). 2 years of handson experience writing SQL queries. Experience with building and maintain basic data artifacts (e.g. ETL data models queries).Experience with AWS services including S3 Redshift EMR Kinesis and RDS. Experience in working and delivering endtoend projects independently. Knowledge of distributed systems as it pertains to data storage and computing. Experience with one or more data visualization tools (e.g. Tableau Quicksight PowerBI) and statistical methods (e.g. ttest Chisquared). 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Knowledge of SQL and data warehousing concepts Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
PREFERRED QUALIFICATIONS Inquisitive mindset with proven problem solving ability and a passion for big data. Experience with building multidimensional data models to serve as a foundation for future analyses Experience building/operating highly available distributed systems of data extraction ingestion data modelling and processing of large data sets Demonstrate proficiency with various approaches in regression classification and cluster analysis Knowledge and experience in data visualization/reporting software (e.g. Tableau). Advanced SQL / datamining skills and analytical tools (like R / Python / SAS)
About the team
Amazon IES Shopping experience team owns the charter for defining the shopping experience across key country and category needs for Amazons emerging markets. We are a large product organization solving key customer problems through Customer Insights Tech development and Machine Learning capabilities. We work backwards of emerging customer needs and build solutions to scale these globally.
1 years of tax finance or a related analytical field experience
2 years of complex Excel VBA macros writing experience
Bachelors degree or equivalent
Experience defining requirements and using data and metrics to draw business insights
Experience with SQL or ETL
Experience working with Tableau
Experience using very large datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Employment Type
Full-Time
Key Skills
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