Top Senior Data & Analytics Jobs in Cleveland, OH

Design, build, and maintain scalable data models and pipelines using Python and SQL. Collaborate with product and SMEs to create analytics-ready healthcare datasets, maintain data engineering systems, document solutions, and iterate based on product feedback.

Lead healthcare data analysis and quality efforts across claims, pharmacy, and enrollment data. Translate business needs into technical requirements, build complex queries, recommend process and data improvements, manage projects, and mentor team members while liaising between operations, R&D, and IT.

Lead growth analytics by partnering with product, marketing, sales, and finance to identify opportunities, design and analyze experiments, build dashboards, decompose north-star metrics, and surface actionable insights that drive company growth.

The role involves enhancing the client's BI platform by managing data governance projects, documenting strategies, policies, and standards for effective data management.

The Senior Clinical Research Associate manages site monitoring and relationships for clinical trials, ensuring compliance and patient safety according to GCP and regulations.

As a Business Intelligence Data Scientist, you will develop dashboards, build statistical models, and analyze product features to enhance user insights.

In this role, the Senior Database Engineer will optimize and operationalize large-scale data solutions, design data architectures, develop data pipelines, and ensure data reliability while collaborating with cross-functional teams for effective reporting and analytics.

The Business Intelligence Senior Consultant develops BI strategies, implements solutions using Ellucian tools, and supports higher education clients with technical and functional consulting.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.