Business Intelligence Consultant , AFFS Accounting Onboarding

Amazon is hiring a Business Intelligence Consultant , AFFS Accounting Onboarding in Pune, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this accountant role: aI is not part of the work.
The posting mentions Python, AWS and Emr among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Build big data analytical solutions, data models, and streaming pipelines powering Amazon's FOAA org.

PythonAWSEmrSnsSqsLambdaDynamoDB

business-intelligencedata-modelingetlbig-data

Do you want to be in the forefront of engineering big data analytical solutions that takes Amazon's Finance Operations Accounting and Analysis (FOAA) Ordering-Operations models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for top notch Business Intelligence Engineers to be part of FOAA Ordering-Operations team to build data and analytics solutions powering Amazon's FOAA org. We perform data modeling, build real time analytical platforms using big data tools and AWS technologies like EMR, SNS, SQS, Lambda, DynamoDB Streams.

As a BIE II, you'll work on building analytical solutions that empower Central Accounting, Ordering as well as Transportation Tech teams worldwide. You'll develop both near-real-time (NRT) streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. You'll also build metrics for the Central Accounting, Ordering and for Transportation, while contributing to innovative AI-powered solutions delivering automated insights across the FOAA org.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. We're excited to talk to those up to the challenge!

Key job responsibilities
- The ideal candidate is a highly analytical and critical thinker with advanced problem-solving, data mining, and scripting (Python) skills.
- They enjoy collaborating with top data engineers, BIEs, product managers and software developers to make decisions for Amazon's retail and operations teams.
- The candidate will be responsible for metrics, dashboards, and measurement across Promise platforms and fulfillment signal products to help improve evaluate inventory, fulfillment capabilities, and carrier capabilities.
- Your work will have a direct impact on Amazon's business and customer promise.

About the team
Amazon's Finance Operations, Accounting & Analysis (FOAA) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. FOAA is seeking a Finance Analyst to support our Accounting Onboarding team.

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 3+ years of developing automated reporting experience
- 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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 Consultant , AFFS Accounting Onboarding at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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 Consultant , AFFS Accounting Onboarding is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IN, MH, Pune.
The job was posted on August 5, 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 ModelingETLBig DataPythonAWSEmrSns

Also common in accountant jobs at this level

Generative AI AI agents Computer vision Machine learning LLM Spark

Pay

Typical accountant job: $110k

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

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 modeling was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where big data was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Modeling, ETL, Big Data, and Python. 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.

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