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.

Build and support scalable data pipelines, ETL/ELT processes, orchestration workflows, APIs, and cloud data services on Google Cloud Platform. Integrate enterprise platforms with governance systems for metadata discovery, lineage, classification, and policy enforcement. Develop secure, observable, cost-efficient solutions using CI/CD, testing, automation, DataOps, and DevSecOps practices, while contributing to AI-enabled workflows and reusable platform frameworks.

Analyze and maintain manufacturing data systems, develop KPI dashboards, ensure reporting accuracy, and provide data-driven insights for engineering projects and cause investigations. Collaborate with operations, process engineering, quality, and manufacturing associates, occasionally collecting data on the shop floor and supporting compliance with quality standards.

Tenure-track faculty member responsible for teaching undergraduate data analytics courses, developing curriculum, advising and mentoring students, conducting a focused research program, and contributing service to the program, university, and profession. The role emphasizes interdisciplinary instruction, inclusive pedagogy, experiential learning, and collaboration across academic disciplines.

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.

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.