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Business Intelligence Engineer, GFS

Business Intelligence Engineer, GFS

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 - 8 years

20 - 25 Lacs

bengaluru

Posted:-1 days ago| Platform:

Apply

Skills Required

data interpretation amazon redshift data mining bi data warehousing business intelligence sql java data modeling data visualization etl matlab python quicksight oracle dynamo db sas analysis warehouse nosql excel amazon ec2 tableau r aws statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

1) Delivery of standardized performance metrics for global customers (Vendors) and stakeholders (Amazon Private Brands) providing operational bandwidth to Amazon Private Brands teams to focus on business partnering initiatives.
2) Partner with existing BI leader in executing defined roadmap of projects. 3) Provide ad-hoc support to Amazon Private Brands and business services for SQL report creation, modification and optimization. 4) Debug report issues, unblock workflows and communicate with other teams and stakeholders by providing regular status updates. Tools used include: 1

. SQL (Primarily Redshift)
2. ETL tools (internal)
3. Excel
4. Data visualization tools (QuickSight)
5. Report scheduling tools (internal)
6. Scripting language (e.g., Python, Java, or R) 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 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 with forecasting and statistical analysis

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Business Intelligence Engineer, GFS