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# Business Intelligence Analyst

- **Company:** Viant
- **Location:** Irvine, United States
- **Salary:** $70,000.0 - $80,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Database Queries, SQL Databases, Tableau (Software), Databricks
- **Published:** September 3, 2026
- **Apply:** https://startup.jobs/business-analyst-viant-technology-company-9913699

## About the Role

* Professional experience with SQL and Google BigQuery, including the ability to write, optimize, and maintain complex queries
 * Proficiency in Tableau with experience building scalable dashboards and self service reporting
 * Experience working in Databricks or similar cloud based analytics platforms
 * Experience in digital advertising, programmatic media, or marketing analytics environments
 * Excellent written and verbal communication skills with the ability to translate data into clear insights
 * Strong analytical and problem solving skills with the ability to identify trends and draw data driven conclusions
 * Ability to thrive in a fast paced, dynamic environment while managing multiple projects and shifting priorities

## Description

* Work closely with key stakeholders to create automated & ad-hoc reporting to support pre, mid and post-campaign deliverables
 * Collect, analyze, and interpret large datasets to develop clear, actionable insights and present findings through reports, dashboards, visualizations, and AI data agents
 * Provide strategic recommendations based on data analysis and performance trends to improve campaign delivery and outcomes
 * Design and maintain self-service analytical tools that enable stakeholders to explore data and answer recurring business questions independently
 * Support automated data processes and analytical workflows for ongoing operational and reporting needs
 * Apply emerging AI capabilities to augment analysis and help surface insights or answer questions more efficiently
 * Recommend and implement process improvements that enhance data quality, reporting efficiency, and alignment with business needs
 * Maintain a high level of attention to detail to ensure the accuracy, consistency, and integrity of data and reporting outputs