Top Entry Level Data & Analytics Jobs in Columbus, OH

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 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.

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

Maintain and improve master data for products, vendors, and customers across NetSuite and Salesforce. Ensure data quality and consistency, process tickets, collaborate with cross-functional teams, suggest process improvements, and support business reporting and operations while adhering to data standards.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Responsible for ensuring data quality through governance, cataloging, and profiling. Familiarity with metadata management and data integration is beneficial.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.

Support building and maintaining ETL/ELT data pipelines and cloud data workflows. Work with senior engineers and cross-functional teams to implement, test, deploy, and document data processes. Continuously learn cloud technologies, SQL, and Python/PySpark, follow coding best practices, and contribute to process improvements in an Agile environment.

FTI's Skills Accelerate program hires recent graduates as Technology Consultants or Advanced Analytics Researchers to learn e-discovery, digital forensics, advanced analytics, and document review. Consultants work on client-facing engagements across investigations, litigation support, data privacy, and project management, receiving coaching and formal development and potential full-time placement post-graduation.