Top Analysis Reporting Jobs in Columbus, OH

The Senior Data Architect will align technology with business goals, manage data architecture, lead engineering teams, and drive data governance best practices.

The Bioinformatics Support Analyst provides operational and analytical support for biomedical informatics applications, ensuring data quality, system performance, and workflow optimization while collaborating with engineering and scientific teams.

The Data Scientist will enhance statistical models for forecasting, analyze datasets for operational planning, and communicate insights to stakeholders.

Develop and support analytics solutions by extracting and prepping data, building data models, dashboards, and integrated analytics. Partner with business and IT to design EDW/Data Lake, ensure data quality and governance, automate monitoring, and introduce predictive/data science elements. Promote BI best practices and sustain user-facing analytics performance.

Design, develop, test, and maintain SQL-based reporting and visualizations. Create test plans, perform triage and QA, optimize report performance, conduct code reviews, mentor junior staff, and lead technical improvements. Collaborate with product managers and cross-functional squads to deliver customer-facing features, complete bug fixes and enhancements, and provide root-cause analysis and growth/stability projections.

The VP of Salesforce & Marketing Technology leads the strategy and execution of Salesforce and marketing technologies, ensuring integration and compliance to enhance customer engagement and business outcomes.

The Sr State Product Analyst provides analytical support for strategic goals, analyzes performance data, and implements processes for financial planning and market development.

Lead global customer master data strategy, governance, and operations. Build and manage a global team to centralize and harmonize customer lifecycle processes, improve data quality, drive large-scale migrations and platform enhancements, and collaborate with stakeholders to implement roadmaps across data, process, applications, and organizational change.

Design, build, and maintain scalable ETL pipelines and data integration solutions using SQL Server, SSIS, and Azure Data Factory. Lead logical and physical data modeling, create data marts and operational stores, ensure data quality and governance, optimize ETL performance, and collaborate with stakeholders to translate business needs into enterprise data solutions.

Conduct market research and competitive intelligence, analyze large datasets to build forecasts and segmentation, create dashboards and reports, identify strategic opportunities for product and pricing, and communicate insights to leadership and cross-functional teams to inform business decisions.