Top Data & Analytics Jobs in Columbus, OH

As a Senior Data Engineer, you will build and maintain the data platform infrastructure, oversee data lakehouse architecture, and collaborate with product engineering to ensure reliable data delivery and adherence to data contracts.

The Data Quality Analyst will manage customer data migrations, ensuring accuracy and success while working with internal teams to facilitate the process. They will spend 60% of their time with clients and 40% on technical tasks like writing SQL queries and analyzing data structures.

The Staff Data Engineer will manage data governance, ETL/ELT operations, design security for reporting, and support ML workloads, while evolving a self-service reporting platform.

The Senior Data Analyst will analyze product usage data, develop dashboards, and guide product decisions by translating complex data into actionable insights to improve clinician engagement and outcomes.

The Senior Data Architect designs and implements data architecture solutions, leveraging modern platforms and methodologies to enhance data management, modeling, and integration across applications and stakeholders.

The Principal Biostatistician will lead statistical analyses for Phase 1 studies and safety analyses for Phase 2/3 trials, serve as an unblinded DMC statistician, and contribute to regulatory submissions and study design discussions.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

The Solutions Analyst collaborates cross-functionally to support complex customer solutions, analyze data for trends, and enhance reporting accuracy.

The Analytics Engineer will build data pipelines and analytics frameworks, collaborate with teams, and improve data solutions to support business growth.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.