Top Remote Data & Analytics Jobs in Columbus, OH

The Developer Architecture Analyst role at Imply involves gathering insights from Apache Druid users, maintaining qualification criteria for real-time analytics databases, deploying and evaluating technologies, and shaping marketing content. You'll also influence product roadmaps based on data collected and provide educational materials for developers.

The Senior Data Analyst will empower the team by providing actionable insights on user behavior to enhance acquisition, engagement, retention, and monetization. Responsibilities include monitoring KPIs, developing A/B experiments, creating data visualizations, and identifying gaps in analytics infrastructure.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

The Documentation & Process Analyst will create technical documentation, gather business requirements, develop user stories, and ensure quality adherence within projects. This role involves collaboration with clients and team members to facilitate effective documentation and support organizational change management, aiding clients in maximizing their application use.

The Continuous Improvement Analyst evaluates and improves business practices aimed at enhancing safety, quality, efficiency, and cost reduction. Responsibilities include identifying process improvement opportunities, facilitating value stream mapping, conducting root cause analysis, and developing performance metrics for departmental effectiveness.

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.

The Senior Analytics Engineer will design, develop, and maintain a high-quality data warehouse and analytics solutions, ensuring data pipelines are efficient and accurate. This role includes leading data model transformations, collaborating with cross-functional teams, and enabling self-service analytics to support data-driven decision making.