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Business Intelligence Engineer, Amazon

Business Intelligence Engineer, Amazon

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Amazon.com

5 years

0 Lacs

bengaluru karnataka

Posted:3 weeks ago| Platform: Indeed logo

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Skills Required

data drive communication management analytics portfolio analysis addition sql service ai mathematics engineering statistics aws dynamodb research optimization python risk support onboarding recruiting

Work Mode

On-site

Job Type

Full Time

Job Description

DESCRIPTION

Are you passionate about building data-driven solutions to drive the profitability of the business? Are you excited about solving complex real world problems? Do you have proven analytical capabilities, exceptional communication, project management skills, and the ability to multi-task and thrive in a fast-paced environment? Join us a Business Intelligence Engineer to deliver analytics solutions for Amazon Payment Products.
Amazon Payment Products team creates and manages a global portfolio of products, including co-branded credit cards, instalment financing, third party redemptions, etc. Within this team, we are looking for a Business Intelligence Engineer responsible for performing analysis on large volumes of data which includes building data pipelines, dashboards, synthesizing the analysis into business insights and communicating the findings to various stakeholders. To be eligible, the candidate must possess superior written and verbal communication skills too, in addition to proven analytical skills. Key job responsibilities

Identify, develop and execute data analysis to uncover areas of business opportunity
Learn and understand a broad range of Amazon’s data resources and know how, when and which data sources to use
Deep dive into massive data sets, build data pipelines using SQL, dashboards using QuickSight, data self-service using Generative/Agentic AI products like Quick Suite
Present insights and recommendations to key stakeholders in both verbal and written form
Manage and execute entire project from start to finish including problem solving, data gathering and manipulation, predictive modeling and project management

BASIC QUALIFICATIONS

Undergraduate degree in mathematics, engineering, statistics, computer science, business administration or a related field
At least 5 years of experience using SQL to build data pipelines and dashboards like QuickSight
Strong Analytical skills – has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem
Communication skills – Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data.
Experience in building Generative/Agentic AI solutions to drive internal productivity of the team and productivity of stakeholder team by enabling data self-service
Ability to work in a fast-paced business environment and demonstrated track record of project delivery for large, cross-functional projects with evolving requirements

PREFERRED QUALIFICATIONS

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field
Experience in building predictive models, optimization models using Python to make business decisions
Credit or risk management experience

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.

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Business Intelligence Engineer, Amazon