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Business Intelligence Engineer II

Business Intelligence Engineer II

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

3 - 7 years

35 - 40 Lacs

bengaluru

Posted:-1 days ago| Platform:

Apply

Skills Required

sas data modeling data quality oracle business intelligence data mining matlab analytics python data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a Business Intelligence Engineer II who will develop and maintain dashboards for WW FBA Returns metrics and seller costs. You will analyze complex data sets and create automated solutions to accelerate business insights.
Design and develop end-to-end data pipelines and reporting solutions to analyze worldwide FBA returns patterns and economics intelligence. Partner with data engineers to implement robust data architecture, optimize data pipelines, and ensure data quality while maintaining master lookup tables. Design and develop BI reporting solutions for WW FBA Returns and seller costs model. Analyze reports and determine appropriate implementation strategies. Leverage latest technologies to convert legacy reports into modern AWS QuickSight solutions. Research and identify new opportunities for WW FBA Returns team to innovate on behalf of sellers. Develop complex queries for ad hoc requests and projects, as well as ongoing reporting. Interface with business stakeholders to gather requirements, perform user acceptance testing, and deliver reporting solutions that drive key business decisions. Develop and automate complex SQL queries and statistical analyses to identify return rate trends, perform root cause analysis, and surface opportunities for process optimization. Own the design and development of metrics that measure returns economics, process efficiency, and seller cost impacts while ensuring data accuracy through validation. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience 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 Strong analytical and quantitative skills. Strong oral and written communication skills. 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

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Business Intelligence Engineer II