Top Data & Analytics Jobs in Columbus, OH

Leads Northwest Bank’s enterprise data governance program, including data policies, quality rules, lifecycle management, metadata, master data, stewardship, governance tooling, and remediation. Facilitates Data Working Groups, investigates root causes, manages governance metrics and reporting, demonstrates tools, documents processes, and supports training. Partners across a matrixed organization to ensure data assets meet standards, controls, regulatory requirements, and business needs.

Lead the technical strategy and architecture for a scalable clinical data platform. Drive cross-team engineering initiatives, redesign legacy data pipelines, build batch and streaming systems, develop deployment and self-service tooling, improve monitoring, manage data models and governance, ensure privacy and security, and mentor engineers. Partner with product, AI, infrastructure, health systems integration, and business intelligence teams to deliver reliable, extensible data capabilities.

Leads the design, development, maintenance, and implementation of complex ETL pipelines across structured and unstructured data sources. Establishes scalable, metadata-driven integration patterns, improves data quality and maintainability, performs root-cause analysis, and supports secure data solutions. Collaborates with stakeholders, maintains ETL platforms and cloud services, advances engineering best practices, and mentors team members.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

The Business/Systems Analyst works on data analysis and problem-solving, creates and modifies applications, and prepares technical documentation. Requires 3 years of programming experience and strong analytical skills, particularly in Oracle SQL and Teradata.

Support analytics team by analyzing marketing and social performance, building client-facing reports and visualizations, identifying KPIs, performing data quality checks, and communicating insights and recommendations to nontechnical stakeholders. Assist with monthly reviews and collaborate on dashboarding, ETL understanding, and tool improvements.

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.

Develops reporting, analytical tools, and data solutions that support strategic decisions, revenue growth, and operational efficiency. Partners with Customer, Marketing, and Digital teams to analyze customer behavior, identify trends, validate data, and translate complex findings into actionable recommendations for executives and business leaders. Leads cross-functional analytics initiatives, improves processes and methodologies, supports user adoption, and mentors junior analysts.

Own and automate pricing models, cost calculators, and margin reporting. Perform SKU- and order-level landed-cost and margin analysis, quantify pricing impacts, maintain pricing logic/templates, build SQL/BigQuery pipelines, automate reporting with R/Python and Google Sheets/Excel, and collaborate with cross-functional teams to improve pricing accuracy and recommendations.

Seeking a Data Modeler/Data Architect with skills in data modeling and advanced SQL for a client project lasting 18 months.