Business Intelligence Engineer, Flex Analytics

Amazon is hiring a Business Intelligence Engineer, Flex Analytics in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

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

AI in this role

Build automated business intelligence solutions and analytics for an AI-native decision intelligence platform.

SQLRedshift

business-intelligencedata-analysisforecastingpricingreporting

Interested in the gig economy? Come be a part of it. Amazon Flex works directly with independent contractors – called delivery partners – to make deliveries to our customers. With Amazon Flex, individuals can now be their own boss delivering Amazon packages.
The Amazon Flex Analytics team is building the global data platform that powers Amazon Flex worldwide. We’re working hard, having fun, and making history!

The Flex Analytics team’s mission is to empower the Worldwide Flex organization with accurate, timely data and actionable insights that enables data-driven decision making at any level. Our goal to achieve this mission is to mature our service offerings to match the needs of our various customers. For our information consumers on the business and product teams we aim to provide insightful analyses that answer the ‘So what do we do about it?’ questions and not just the ‘What happened?’ questions. We provide access to core metrics and datasets via self-service tools that allow our customers to perform ad-hoc or exploratory analyses without the need for a BI developer. For our power users, which includes our science and tech teams, we serve as trusted partners and provide data engineering expertise and access to data at scale to support their business needs.

Key job responsibilities
We are making a fundamental shift from a team that answers questions to an AI-native decision intelligence platform that proactively detects problems, diagnoses root causes, and recommends actions — with or without human prompt. For this, we are hiring a Business Intelligence Engineer (BIE) to help us accelerate our development efforts. This person will build new business intelligence solutions end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data sets to derive insights, answer business questions and drive growth.

Key job responsibilities
The primary responsibilities of this role include:
Design, develop and maintain scaled, automated, user-friendly systems, reports and dashboards that support our analytical and business needs for forecasting and pricing.
Use analytical and statistical rigor to solve complex problems and drive business decisions that help us achieve our strategic goals.
Write high quality SQL code to retrieve and analyze data from database tables (primarily Redshift) and the data lake.
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross-functional teams, and an ability to work in a fast paced and ever-changing environment.

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

Preferred qualifications

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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, Flex Analytics 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, Flex Analytics 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.
The job was posted on August 17, 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

Business IntelligenceData AnalysisForecastingPricingReportingSQLRedshift

Questions you could be asked

Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where forecasting was part of your work. What did you do?
Tell me about a project where pricing was part of your work. What did you do?
Tell me about a project where reporting was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Analysis, Forecasting, Pricing, and Reporting. 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.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker