Data Analyst // Bentonville, AR
Hello ,
Please find the below requirement details
Position: Data Analyst
Location: Bentonville, AR
Duration: 5 Months
Rate: $45/Hr. on C2C
Required Skills
* Practical experience with SAS, ETL, data processing, database programming and data analytics
* Proficient is Sql and no-sql languages, R, Python
* Worked on gathering data from Cassandra, Kafka, Mongo DB's Work with big data on GCP and Azure
Job Description
Job Duties:
Analyze, document and design data objects, data quality rules, and data quality tests to be landed and executed. Create resilient, sustainable and Data Object Designs and Data Quality Rules. Be a product-oriented Data Analyst creating and experimenting with new ideas that will engage and excite our customers
* Analyze complex data to identify patterns, detect anomalies in data using statistical tools as well as machine learning algorithms if required.
* Collect customer requirements, determine technical issues, conduct analytics, and report insights and findings to executives and engineering teams.
* Identify new sources of data and methods to improve data collection, analysis, and reporting. Collect, analyze, and report data to meet customer needs.
* Evaluate various analytical/statistical methods and procedures and provide recommendation of relevance, applicability, efficiency to Walmart Catalog and Supply areas
* Work with cross functional group consisting of Engineering, Product, Program managers to drive data-based decisions
Your Qualifications:
* Bachelor's degree in computer science or related discipline with 4+ years' experience
* Practical experience with SAS, ETL, data processing, database programming and data analytics
* Proficient is Sql and no-SQl languages, R, Python
* Worked on gathering data from Cassandra, Kafka, and Mongo DBs' Work with big data on GCP and Azure.
* Handled multi-million records of data. Troubleshooting and fixing data issue
* Data Visualization in any BI tools like Tableau, PowerBI, etc.,
* Collected, analyzed, and reported data to meet customer needs.
* Understanding and application of statistical concepts to solve business problems
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