Business Intelligence Engineer, EU Prime and Marketing Analytics & Science (PRIMAS)

Amazon is hiring a Business Intelligence Engineer, EU Prime and Marketing Analytics & Science (PRIMAS) for a remote role open to applicants in India. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this marketing role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting lists this role as remote.
Tools and skills the posting cites include Python, SQL and R.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build large-scale analytics, predictive models, and causal inference systems to optimize marketing and prime customer strategies.

pythonsqlr

statistical-modelingcausal-inferencepredictive-modelingdata-scienceexperimentation

Are you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive deep to understand how customer-centric solutions drive measurable results? Do you enjoy working closely with the business, scientists and software engineers to build scalable products? You are in the right place! Come join our Prime & Marketing Analytics and Science (PRIMAS) team, where your actions will have direct impact to millions of customers!

The EU Marketing & Prime organization is looking for a Business Intelligence Engineer. This role combines large-scale analytics with statistical and data-science work — causal inference, experimentation, and predictive modeling. If your background is in data science, applied statistics, or quantitative analytics, this is that work under Amazon's internal job title.

The PRIMAS team provides a comprehensive understanding of customer segments, affinities and lifetime value. We use the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where, when and how we provide products and programs to our customers to meet their needs and to delight them. We help to increase customer engagement, sales and marketing efficiency. Our systems are built entirely in-house and on automated large-scale analytics systems. You will generate insights, design/deliver/measure experiments and strategies across marketing channels (SEM/SEO, Affiliates, Display, Social, Mobile, Email, Onsite, etc.), engagement products and customer segments. You will improve our understanding of customer behavior and engagement, design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions, and build the causal and conversion models that value and target our marketing. You will work on the forefront of consumer analytics, tackling some of the hardest problems in the industry alongside some of the best scientists, statisticians, and software engineers in the field.

Key job 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, and 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.

Basic qualifications

- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in the data/BI space

Preferred 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

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.

How we rate this

Business Intelligence Engineer, EU Prime and Marketing Analytics & Science (PRIMAS) at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Business Intelligence Engineer, EU Prime and Marketing Analytics & Science (PRIMAS) is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, TS, Hyderabad and is marked remote.
The job was posted on August 11, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Statistical ModelingCausal InferencePredictive ModelingData ScienceExperimentationPythonSQLR

Also common in marketing jobs at this level

AI agents LLM Generative AI Machine learning Databricks Azure

Pay

Typical marketing job: $148k

This posting doesn't list pay. Use the typical marketing figure when pay comes up. See marketing jobs

Questions you could be asked

Tell me about a project where statistical modeling was part of your work. What did you do?
Tell me about a project where causal inference was part of your work. What did you do?
Tell me about a project where predictive modeling was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where experimentation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Statistical Modeling, Causal Inference, Predictive Modeling, Data Science, and Experimentation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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