Business Intelligence Engineer, EU Prime and Marketing Analytics & Science (PRIMAS)
Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Analysis
In short
The Business Intelligence Engineer role within the EU Prime and Marketing Analytics & Science (PRIMAS) team in Hyderabad focuses on leveraging large-scale analytics, statistical modeling, and data science to understand customer behavior and optimize marketing strategies. The position involves working with complex data, designing experiments, building causal models, and influencing BI architecture to drive customer engagement and sales efficiency.
Responsibilities
- Working on complex, loosely defined analytics problems and defining the team's Business Intelligence (BI) strategy.
- Delivering independently and influencing the organization's BI architecture.
- Providing analytics solutions for complex business problems; building analyses and solutions that are robust, extensible and scalable.
- Communicating effectively with management audiences (narratives, inputs into Business Reviews).
- Refining BI strategies that cross teams and making technical trade-offs for long- and short-term needs.
- Designing and implementing technical solutions with an appropriate analytics strategy and data set design.
- Understanding system limitations, scaling factors, boundary conditions, and the reasons for technical decisions.
- Building and evaluating causal and treatment-effect models that produce conversion and valuation signals consumed by downstream bidding and budgeting systems.
- Designing and running experiments and quasi-experiments (A/B, geo, holdout) to measure marketing incrementality.
- Developing measurement frameworks that quantify the true, platform-independent contribution of marketing over time.
- Working with first- and third-party data to identify and target high-opportunity customer segments where standard platform optimization falls short.
- Providing analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunities.
- Driving best practices in operational excellence, data modelling, and analysis.
Requirements
- Experience using SQL to pull data from a database or data warehouse.
- Scripting experience (Python) to process data for modeling.
- Experience in the data/BI space.
Desired Qualifications
- 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.
Benefits
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Workplace accommodation and adjustment support during the application and hiring process, including interview or onboarding process support.
#Business Intelligence
Company
Amazon
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Hyderabad, India
Applicants
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