Top Entry Level Data & Analytics Jobs in Columbus, OH

Analyzes business processes, data, and systems to define requirements, develop data models, implement governance and data quality practices, and deliver actionable insights. The role builds reports and visualizations, applies statistical techniques, supports data collection and database systems, and communicates findings to technical and business stakeholders. Data Analysts collaborate with data engineers, architects, scientists, and product owners in Agile consulting engagements.

Supports dashboards, reporting, and analytical insights focused on customer behavior, digital experiences, and business performance. Develops and maintains Power BI and Excel reporting solutions, analyzes trends and performance drivers, validates data quality, and translates stakeholder needs into scalable analytics tools. Collaborates with Customer, Product, Digital, Technology, data engineering, and analytics teams. Contributes to models, AI-enabled tools, self-service reporting, data governance, and communicating actionable insights to technical and business audiences.

Build, maintain, and improve Python- and SQL-based data tools, pipelines, and dashboards to support production planning and scheduling. Automate manual planning tasks, ensure data accuracy across ERP systems, prototype AI-assisted decision-support tools, and partner with operations to analyze demand, capacity, and production performance.

The Data Steward monitors and resolves issues with accounting and insurance policy systems, ensuring data quality and compliance with statutory principles. Responsibilities include reconciliations, reporting, and assisting in month-end closes.

Manage bibliographic and holdings data lifecycle: ingest, normalize, enrich, match, and troubleshoot data quality issues. Support automated pipelines, use Power BI for monitoring, apply AI-assisted tools for record matching, document workflows, and coordinate with vendors while learning scripting and cloud data concepts under regular supervision.

The role involves data analysis, comparing data across different systems, and making informed business decisions with minimal supervision.

The Data Modeler role involves data profiling, creating source to target mappings, and developing various types of data models including logical, physical, and conceptual, alongside SQL proficiency.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Perform data extraction, transformation, validation and visualization to support consumer and commercial analytics. Create and track business metrics, execute strategic analytics projects, deliver accurate results with documentation following audit procedures, and communicate findings with recommendations to stakeholders.