Data visualization • seattle wa
Job Title: Data Analyst - IT/Data Analyst IV.Duration: 06 months of contract on W2.Data Quality Improvement: Define standards for data collection, consistency, and automation; improve accuracy and ... Show more
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Manager For The Data & Ai Team.Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, pr... Show more
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Position : Data Scientist</b></p> <p><b>Location : Bellevue, WA (Hybrid)</b></p> <p> </p> <p><b>Job Description:</b></p> <... Show more
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Tax Data Optimization Specialist.Amazon's Global Tax Data team seeks a capable and motivated individual to optimize tax data delivery processes by developing simple standard data models to drive ev... Show more
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Position is Subject to Contract Award POSITION DESCRIPTION:Description of Duties:Compile and organize existing large spatial and temporal datasets for evaluating effects of management actions on ma... Show more
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The average salary range is between $ 90,000 and $ 179,375 year , with the average salary hovering around $ 119,000 year .
The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 year .
Job Title: Data Analyst - IT/Data Analyst IV
Job Location: Bellevue, WA
Duration: 06 months of contract on W2
Key Responsibilities
Data Quality Improvement: Define standards for data collection, consistency, and automation; improve accuracy and usefulness.
Gather complex data inputs from multiple sources, both internally and externally. Identify new data sources that will enhance business outcomes and support strategic and tactical objectives.
Provide insight and guidance to stakeholders on the trends and drivers behind the results and prepare reports on findings.
Technical Requirements
Data Analysis: Proficiency in SQL and scripting (Python, R); experience with Power BI for data visualization.
Data Validation: Skilled in designing data validation tests and maintaining data quality.
ETL & Data Warehousing: Understanding of ETL processes, data transformation, and validation.
