Top Senior Analysis Reporting Jobs in Columbus, OH

The Lead Business Intelligence Analyst will modernize reporting frameworks using Adobe Analytics and Power BI, translating complex marketing data into insights and driving strategic decision-making through effective communication with stakeholders.

The role involves optimizing and managing Salesforce operations for various departments, driving Quote-to-Cash processes, and ensuring compliance while collaborating with other teams.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

The Senior Data Analyst will provide high-quality analytics and insights for business strategies, automate reporting, and collaborate across teams to transform data into actionable insights.

The Sr Business Analyst will facilitate data analysis processes, build data warehouse solutions, design reports and dashboards, and collaborate with stakeholders to enhance business intelligence.

Lead complex data-driven client engagements, architect enterprise data solutions, support data analytics, and manage cross-functional teams while ensuring data governance and compliance.

The Staff Data Engineer will build and optimize data pipelines, influence architectural decisions, and support data governance for claims data management. They will work with cloud platforms and big data technologies to ensure high-quality data products.