Top Entry Level Data & Analytics Jobs in Columbus, OH

Lead financial reporting delivery and data pipeline operations while improving data controls, quality, lineage, audit readiness, and regulatory compliance. Automate manual workflows using Alteryx, Python, and SAS; resolve production issues; partner with Technology on data models, testing, and enhancements; and analyze datasets for stakeholder reporting. Contribute to metadata, data dictionaries, responsible AI, and scalable data modernization initiatives.

Rotational program for recent graduates supporting technology and analytics teams. The associate will learn through multiple rotations, build automation or improve existing workflows, create operational reporting and metrics, support controls and audits, collaborate with cross-functional partners, and complete talent development training. The role focuses on Deposit Operations for the Bread Savings program and requires strong communication, Microsoft Office proficiency, reporting skills, and workflow automation knowledge.

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

Troubleshoot student information system integrations, configure imports, write SQL and extract scripts, perform database updates, validate data quality, investigate discrepancies, and resolve integration errors. The role also supports customers with ETL guidance and status updates while collaborating with product, engineering, and cross-functional teams.