Top Data & Analytics Jobs in Columbus, OH

The role involves leading Azure data solutions implementation, collaborating with stakeholders, problem-solving, and overseeing the full lifecycle of data engineering projects. Responsibilities include ensuring effective data movement, both batch and streaming, while engaging in Agile methodologies.

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 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 Marketing Analyst will develop a deep understanding of the company’s marketing strategy and data, perform analyses to improve customer experiences, synthesize data to provide insights that optimize marketing efforts, and support the development of frameworks for LTV and marketing attribution. This role will involve collaboration with various internal teams and reporting insights to business leaders to drive data-driven marketing strategies.

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 Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.