Amazon·E-commerce·4 days ago
4 days ago
Business Intelligence Engineer, EU Ad Sales Finance
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What you'll do
- Support our EU Ads Sales Finance team, based out of London
- Deliver reporting and insight to support the delivery of the Sales teams’ KPIs and strategic goals
- Collaborate with Data Engineers, business partners and BI/finance partners across regions
What they're looking for
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
Nice to have
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Amazon Advertising Sales Data Infrastructure and Generative Intelligence team (DIGI) is looking for a Business Intelligence Engineer to join our team based in our Bangalore office. Amazon Advertising operates at the intersection of advertising and eCommerce and offers advertisers a rich array of innovative advertising solutions across Amazon’s mobile and desktop websites, proprietary devices and DSP solutions.
Key job responsibilities
The BI Engineer will support our EU Ads Sales Finance team, based out of London. The role is integral in delivering reporting and insight to support the delivery of the Sales teams’ KPIs and strategic goals. The candidate will be a highly motivated individual, comfortable collaborating with Data Engineers, business partners and BI/finance partners across regions. The the role requires an individual who is eager to learn and possess a strong technical skill-set. The successful candidate will be a self-starter, comfortable with ambiguity, strong attention to detail, and an ability to work in a fast-paced and ever-changing environment.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Key job responsibilities
The BI Engineer will support our EU Ads Sales Finance team, based out of London. The role is integral in delivering reporting and insight to support the delivery of the Sales teams’ KPIs and strategic goals. The candidate will be a highly motivated individual, comfortable collaborating with Data Engineers, business partners and BI/finance partners across regions. The the role requires an individual who is eager to learn and possess a strong technical skill-set. The successful candidate will be a self-starter, comfortable with ambiguity, strong attention to detail, and an ability to work in a fast-paced and ever-changing environment.
Basic Qualifications
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
Preferred Qualifications
- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
E-commerce
Company
AmazonE-commerce
Bengaluru, India
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