Top Analytics Jobs in Columbus, OH

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.

The Senior Compliance & Privacy Analyst will assess systems for FedRAMP compliance, manage continuous monitoring activities, maintain documentation, and collaborate with engineering teams to ensure compliance is met. Key responsibilities include vulnerability assessments, assisting in authorization packages, and developing Compliance Framework artifacts.

The Senior Sales Strategy Analyst at Elastic will be responsible for end-to-end strategy and operations for Elastic's Solutions Architect organization. This role involves collaborating with various departments to enhance programs, analyze data, drive growth, and support sales efficiency. The ideal candidate will have 6+ years of experience in Sales Operations, Strategy, or similar fields in SaaS organizations.

The Sr. Operations Research Analyst will support DoD projects by analyzing business requirements, preparing project documentation, and leveraging IT consulting practices to ensure successful outcomes. Experience with Navy IT projects is highly desired.

As a Lead Data Operations Analyst, you will aggregate, manage, verify, and ensure the quality of data files, handle inbound and outbound data transfers, and document processes. You will work with IT Security to maintain data integrity and develop automated processes for data management.

The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.

The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.