| Urgently Hiring ::Associate Data Analyst (Data Engineer)::Onsite (Atlanta, GA) at Atlanta, Georgia, USA |
| Email: [email protected] |
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From: Priyabrata Pradhan, Vyze Inc [email protected] Reply to: [email protected] Job Description - Job Title - Associate Data Analyst (Data Engineer) Job Location - Location: ATL/Admin (Onsite Flexibility: Hybrid 1 week on 1 week offsite (Atlanta, GA) Need Only Local Visa NO OPT CPT Duration 6 Months Job Description: The Data Analyst will be a key part of the Enterprise Data Services team, which is responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders. Specifically, this role will support a multi-year project to migrate legacy data jobs and reports owned by business areas across the company to cloud-based technology solutions and modern data tools. You will collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business teams. You will analyze, classify, migrate or redesign data jobs/reports into modern data tools, using Agile methodology, that empower users to make informed business decisions. Progress will be documented and validated against current report outputs. Responsibilities: Qualifications Bachelor of Science degree in Computer Science or equivalent At least some post-degree professional experience Strongly preferred experience in data analysis to create, publish, and/or manage reports and data visualizations in Tableau, PowerBI, AWS Quicksight, or AWS Data Zone (i.e., our target solutions) Knowledge of the best practices in building and preparing data for analytics, including data prep, semantic data models Strong knowledge with database technologies and data development such as Python, PLSQL, etc. Understanding how to build and modify data queries/applications, including performance tuning Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.) Basic understanding of performing test cases for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment Comprehension of best practices for data ingestion and data design Familiar with best practices for data ingestion and data design Thanks & Regards Priyabrata pradhan Email: [email protected] Keywords: Georgia |
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| 09:19 PM 13-Mar-24 |