Top Analysis Reporting Jobs in Columbus, OH

Owns segmentation, forecasting, reporting, and analytics for consumer banking acquisition and direct mail marketing campaigns. Builds campaign files, dashboards, visualizations, and marketing spend forecasts using large datasets and analytical tools. Partners with stakeholders to communicate insights, validate solutions, identify trends, and support strategic decisions. Reviews junior analysts’ work, provides mentorship, and coordinates team activities while ensuring accurate documentation and testing.

Leads business intelligence initiatives by designing data models, developing scalable reporting solutions, analyzing trends and risks, and communicating actionable insights to stakeholders. The role promotes data literacy, supports BI tool adoption, ensures data quality and governance, leads code reviews, develops project roadmaps, and partners with cross-functional teams including Product, Underwriting, Actuarial, Finance, IT, Claims, and Data Science. Also mentors and onboards team members.

Consults on Finance data governance, integration, quality, controls, and enterprise financial systems. Leads impact analysis, data modeling, project delivery, process improvement, operational support, audit assistance, and root-cause analysis for data-quality issues. Partners with Finance, Technology, and business leadership to establish standards, manage financial data flows, support reporting and compliance, and advise on strategic transformation initiatives.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

The Data Analyst develops SQL reporting and validation queries, builds Power BI dashboards, analyzes business data, and supports customer implementations involving migration, configuration, and testing. The role also maintains web platforms, troubleshoots data integrations, ensures data integrity and compliance, documents workflows, and collaborates with technical and business stakeholders to improve reporting and system performance.

Develop and maintain data lake and data mart architecture, translate client requirements into migration plans, extract and migrate data while preserving integrity and security, create data visualizations, and collaborate with QA to resolve defects. The role requires client-focused travel and/or relocation to unanticipated U.S. locations as project needs dictate.

Administer enterprise Oracle, Microsoft SQL Server, and PostgreSQL databases in high-availability hybrid cloud environments. Responsibilities include database installation, configuration, maintenance, performance tuning, security hardening, encryption, backup and disaster recovery, and migration to Azure Government Cloud. The role supports contract management and financial tracking systems, applies DISA STIGs, manages clustering and partitioning, and ensures mission-critical data availability for government users.

Develops, maintains, and supports ETL and data integration solutions using SQL Server and SSIS. Responsibilities include database programming, stored procedures, production troubleshooting, data validation, reconciliation, technical documentation, requirements analysis, process automation, and collaboration with stakeholders and clients. The role ensures accurate, efficient data delivery across multiple systems while improving performance, data quality, and operational efficiency.

Leads business analysis activities across project lifecycles, including stakeholder communication, requirements validation, application testing, defect resolution, reporting, data analysis, and process improvement. The role partners with developers and cross-functional teams to improve application development practices, troubleshoot issues, and enhance operational quality and efficiency within a financial services environment.