> Markdown version of [/jobs/ext/4026379-data-analyst-sr](https://www.wearedevelopers.com/jobs/ext/4026379-data-analyst-sr). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst Sr. - **Company:** The Judge Group - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $124,800 - $128,960 - **Contract:** Contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Analysis of Variance (ANOVA), BigQuery, Information Engineering, Data Warehousing, Python (Programming Language), Meta-Data Management, Power BI, SQL Databases, Tableau (Software), Large Language Models, Snowflake, Data Layers, Oracle Service Cloud, Information Technology, Azure Synapse Analytics, Looker Analytics, Data Pipelines, Amazon Redshift - **Published:** October 30, 2026 - **Apply:** https://www.dice.com/job-detail/c17bce1b-efe3-47fd-9af2-df7516f30ac5 ## About the Role * Bachelor's degree in Analytics, Statistics, Computer Science, Economics, Engineering, or a related quantitative field. * 5+ years of experience delivering analytics solutions, business intelligence, and data-driven insights in complex enterprise environments. * Strong experience designing and implementing analytical data models in modern data warehouse platforms such as Snowflake, BigQuery, Redshift, Synapse, or similar technologies. * Hands-on expertise with SQL and BI tools such as Tableau, Looker, Power BI, Oracle Analytics, or equivalent platforms. * Experience building dimensional models, fact and dimension tables, semantic layers, and governed metrics for reporting and analytics. * Proven ability to translate business requirements into scalable dashboards, reports, and self-service analytics solutions. * Experience collaborating with Data Engineering teams on data pipelines, data quality, governance, metadata management, and reporting architecture. * Excellent communication and presentation skills with the ability to convey complex data insights to both technical and non-technical stakeholders. Preferred Qualifications * Experience with Python or R for analytics and automation. * Exposure to AI-driven analytics solutions, including LLM-assisted analysis, conversational analytics, prompt-based reporting, or intelligent automation. * Knowledge of financial reporting, forecasting, variance analysis, month-end close processes, or accounting-related analytics. * Experience building automated monitoring, alerting, and insight-generation solutions. * Background in retail, finance, or enterprise business operations is highly preferred.