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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Job: Data Engineer Duration: Long-term contract (extension/conversion possible) Location: Bellevue, WA (hybrid 3 days onsite) Required Skills: 4...Show more
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Job Title: Data Analyst - IT/Data Analyst III.Location: Bellevue WA (Hybrid (Hybrid – 4 days / week at Bellevue HQ to start.Duration: 12 months on W2 contract.May have flexibility for 3/week later ...Show more
ERP Data Management Coordinator.We're looking for motivated, engaged people to help make everyone's journeys better.This position will be responsible for coordinating ERP Data management within the...Show more
Disney Entertainment and ESPN Product & Technology.Technology is at the heart of Disney’s past, present, and future.Disney Entertainment and ESPN Product & Technology is a global organization of en...Show more
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.
