Top Remote Analysis Reporting Jobs in Columbus, OH

Own strategy, governance, and operations for GTM data in Salesforce. Lead data enrichment, vendor management, data movement architecture, observability, quality standards, deduplication, and lifecycle policies. Provide user support, analyze issues with SQL/SOQL, and coordinate with Data Engineering and GTM teams to ensure CRM is single source of truth.

The Data Architect will design and implement data architecture solutions using Azure Databricks, focus on data quality, and collaborate with product teams on data projects.

Lead analytics strategy and measurement for client accounts: define learning agendas, run complex analyses and predictive models, surface actionable insights, present to senior clients, and coordinate cross-functional teams to optimize media performance and ROI.

The Associate Director leads the Global Records and Information Management team, optimizing governance practices, managing projects, and developing relationships across various stakeholders, while ensuring regulatory compliance and strategic implementation.

Lead enterprise-wide data and AI governance by creating and enforcing policies, controls, and frameworks for responsible data use, AI model oversight, risk mitigation, regulatory compliance, and stakeholder engagement across the organization.

Lead BI engineer responsible for designing and implementing data collection, transformation, and QA processes to ensure compliant encounter submissions. Build scalable code, dashboards, and automations, perform root-cause analyses, present insights to partners, lead projects, and mentor junior team members while advancing data governance and continuous improvement.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Lead Finance BI transformation by building a governed Snowflake/dbt semantic layer, standardizing KPIs, certifying reusable datasets, consolidating dashboards, implementing data quality, and optimizing Snowflake and Power BI performance to enable reporting, APIs, AI/ML, and automation.

Lead design and delivery of advanced reports and dashboards for Customer Success leadership. Collaborate with data engineering and product teams to ensure data integrity, automate reporting, and present actionable insights that measure AI impact on hospital performance and revenue.

The Senior Quantitative Data Engineer will build and maintain scalable data pipelines for quantitative investment research, ensuring data integrity and compliance, while collaborating with various teams for data architecture and product strategy.

Optimize publisher monetization by analyzing bidstream and auction data, building monitoring/alerting systems, running A/B tests, performing root-cause analyses, and producing actionable insights for cross-functional teams to maximize yield and revenue.