Business Analyst

Viant Technology•Irvine, CA

14d•$65,000 - $75,000•Hybrid

About The Position

As a Business Intelligence Analyst, you will design and maintain reporting, dashboards, and self-service analytics that enable data driven decision making across Viant's operations. You will support automated data processes and analytical workflows for recurring business use cases, and you will also apply emerging AI capabilities to build data agents that help surface insights, answer questions, and augment analysis where appropriate. Your work will focus on delivering clear, actionable insights that improve operational efficiency and business performance.

Nice To Haves

Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Science, Statistics, Economics, or a related field. This foundational education will provide the necessary theoretical and practical knowledge in business processes, data analysis, and information technology
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

Responsibilities

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 need
Maintain a high level of attention to detail to ensure the accuracy, consistency, and integrity of data and reporting outputs