Top Data & Analytics Jobs in Columbus, OH

The role involves leading demand forecasting and S&OP processes, collaborating with sales on trade effectiveness, and supporting ice cream allocations using data analytics.

The Business Systems Analyst will support the finance team by defining and documenting business and functional requirements, analyzing systems, troubleshooting, and managing relationships with vendors and IT resources.

The Senior Marketing Data Analyst will enhance marketing performance through data analysis, optimization strategies, and collaboration with marketing stakeholders, focusing on Checking and Deposit Acquisition.

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.

Design, build, and maintain SQL-based reporting and BI features; create test plans and documentation; optimize report performance; perform triage and bug fixes; lead technical improvements; mentor junior staff; collaborate with product and cross-functional teams to deliver customer-facing analytics and reporting solutions.

Lead design and implementation of tracking with GTM, analyze user behavior in GA4, build BigQuery queries and dashboards, define KPIs with cross-functional teams, troubleshoot tagging/data issues, and perform deep-dive conversion and journey analyses to optimize web and mobile performance.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Design, develop, and maintain enterprise data integration (ETL) systems and data platforms. Lead technical designs, optimize performance and scalability, support production issues and off-hours rotations, build reporting and BI solutions, document data processes, and collaborate with stakeholders and vendors to align business requirements.

Design, develop, and optimize ETL/data integration, data platforms, and BI solutions. Lead technical designs, troubleshoot production issues, participate in on-call support, and document processes to ensure scalable, secure, high-performance enterprise data solutions.