Top Entry Level Data & Analytics Jobs in Columbus, OH

Designs and optimizes data-driven audience targeting and measurement for marketing channels. Builds reusable audience datasets, measurement views, quality controls, alerts, and anomaly detection to improve campaign execution and reduce operational risk. Partners with marketing, sales, product, and technology teams to define requirements, implement governed artificial intelligence capabilities, quantify automation impact, and communicate actionable insights. Mentors junior analysts and supports scalable, controlled marketing transformation.

Collects and analyzes internal and external data to identify trends, opportunities, and risks. Develops dashboards, reports, and visualizations for leadership; monitors KPIs; partners with advisors to answer business questions; and supports strategic planning through forecasting, modeling, and scenario analysis.

Develop and maintain Power BI and Excel dashboards, analyze product-facing data, monitor data quality, and translate business needs into scalable reporting solutions. Partner with Product, Technology, data engineering, and analytics teams to deliver trusted insights, models, tools, and self-service analytics capabilities. Communicate trends, risks, recommendations, and business impacts to technical and non-technical stakeholders while improving reporting processes and dashboard experiences.

Analyzes and reconciles data from multiple sources, performs data profiling and quality assessment, creates conceptual, logical, physical, dimensional, and relational models, and documents source-to-target mappings. Develops data visualizations, interprets patterns and trends, supports predictive analysis, identifies master and reference data, and collaborates with data scientists, business partners, data stewards, and architects to ensure governance and data protection compliance.

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.

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.

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.