Top Data & Analytics Jobs in Columbus, OH

As a Staff Data Engineer, you will lead the enhancement of internal processes, focusing on scaling infrastructure and automating data delivery. You will design and implement data extraction, transformation, and loading solutions, develop analytical tools, manage complex data sets, and collaborate with various teams while mentoring other engineers.

This is an invitation to join a talent community for Senior Operations Leaders at HelloFresh. Members receive updates on job openings, career tips, and events.

The Sr. Global Privacy and Data Protection Counsel at Pendo will oversee global data privacy needs, ensure compliance with privacy regulations, lead legal activities related to Pendo’s privacy program, and provide counsel to various business units. The role requires collaboration with product and engineering teams, as well as training the legal department on data privacy regulations.

The ROC Risk Analyst I will produce reports for clients on cyber risk profiles, analyze advanced cyber threats, correlate adversary tactics, and create threat intelligence reports. The role involves supporting incident response and interacting with customers to refine threat intelligence products and services.

The Senior Data Scientist will develop innovative auto pricing models and process telematics data for feature engineering. Responsibilities include mentoring junior scientists, collaborating with cross-functional teams, and presenting data-driven strategies to leadership. The role requires leading end-to-end data science projects and optimizing cloud-based environments.

The Senior Deal Desk Analyst at Komodo Health is responsible for managing deal operations, ensuring alignment with strategic goals, and optimizing deal structures. This role involves collaborating with sales, legal, and finance teams, establishing pricing strategies, and enhancing deal execution efficiency.

The Senior Data Engineer will develop and manage a robust data ingestion platform using Azure technologies and tools. Responsibilities include designing data pipelines, writing complex SQL queries, participating in agile ceremonies, and ensuring data quality and validation in the data warehouse.