Top Remote Senior Level Data & Analytics Jobs in Kansas City, MO

The Data Architect will design, develop, and maintain data architecture and infrastructure, ensuring data integrity, security, and accessibility. Responsibilities include creating data models, overseeing data integration, establishing data governance, and optimizing data systems for performance. This role requires collaboration with teams and leadership in data transformation initiatives.

The Senior Renewals Analyst at Veracode will manage customer renewals, identifying roadblocks and ensuring smooth contract execution. Responsibilities include building relationships with client stakeholders, collaborating with internal teams, analyzing customer feedback, and enhancing renewal processes.

Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.

As a Senior Data Analyst at EFG, you will lead the development of data products and visualizations, guide team members, and enhance business decision-making through insightful analyses. You are responsible for project ownership and establishing best practices within the analytics team, using your expertise in both analytics and business to improve outcomes.

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.

As a Senior Data Analyst at EFG, you will guide analytics projects, build data products like dashboards, and drive business insights. You'll play a key role in understanding data ecosystems and enhancing analytical capabilities within the team while collaborating with business partners.

The Principal Scientist will manage and oversee non-clinical and clinical biomarker bioanalysis, including method development, validation, and interactions with specialty labs. Responsibilities include collaboration with cross-functional teams, maintaining quality assurance, and contributing to the development of novel therapeutics. This role requires a strong background in bioanalytics, laboratory management, and the drug discovery process.