Sql data analyst • bellevue 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 ...[internal_linking.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 ...[internal_linking.show_more]
Econometric Data Analyst (Stata SE).AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM cap...[internal_linking.show_more]
Econometric Data Analyst (Stata SE).AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM cap...[internal_linking.show_more]
Econometric Data Analyst (Stata SE).AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM cap...[internal_linking.show_more]
Econometric Data Analyst (Stata SE).AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM cap...[internal_linking.show_more]
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.
