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1 month ago
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Amazon·E-commerce·1 month ago
1 month ago

Business Intelligence Consultant , AFFS Accounting Onboarding

Pune, IndiaFull-timeOn-siteMid · 3+ yearsData & Analytics Consultant

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Must-have skills for this role

  • python
  • sql
  • etl
  • data modeling

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What you'll do

  • Working on building analytical solutions that empower Central Accounting, Ordering as well as Transportation Tech teams worldwide
  • Develop both near-real-time (NRT) streaming pipelines and batch processing pipelines that deliver critical insights for decision-making
  • Build metrics for the Central Accounting, Ordering and for Transportation, while contributing to innovative AI-powered solutions delivering automated insights across the FOAA org
  • Responsible for metrics, dashboards, and measurement across Promise platforms and fulfillment signal products to help improve evaluate inventory, fulfillment capabilities, and carrier capabilities

What they're looking for

  • 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

Nice to have

  • 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

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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.
E-commerce

Company

AmazonE-commerce
Pune, India

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Amazon's careers site·first seen 5 Aug 2026·last verified 8 Sept 2026·How we source jobs

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