BIE, Delivery Choices Professional

Amazon

3 - 8 years

7 - 10 Lacs

hyderabad

Posted:-1 days ago| Platform:

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Skills Required

matlab quicksight python data interpretation oracle data analysis dynamo db sas amazon redshift data mining power bi data warehousing analysis warehouse sql server nosql sql amazon ec2 r tableau data modeling aws etl statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Owning the design, development, and maintece of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
Translate basic business problem statements into analysis requirements.
Use analytical and statistical rigor to answer business questions and drive business decisions.
Find and create ways to measure the customer experience to drive business outcomes.
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.
Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.
Troubleshoot operational -quality issues.
Review and audit existing jobs and queries.
Recommending improvements to back-end sources for increased accuracy and simplicity. 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

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