Top Remote Data & Analytics Jobs in Kansas City, MO

The Lead, Data Engineer leads the data engineering team, designing scalable data solutions, mentoring staff, and ensuring data quality while collaborating with stakeholders to meet business goals.

The Operations Solutions Analyst bridges business stakeholders and technology, translating requirements, ensuring successful solutions, and managing relationships with partners.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

The Director Analyst will produce actionable research in talent management technology, mentor team members, and engage with C-level executives to enhance decision-making and strategy.

The Principal Biostatistician independently manages complex clinical trials, providing statistical support and leading studies with regulatory impact while contributing to business development and client interactions.

As a Data Engineering Manager, you will lead a team to architect and operate financial data systems, focusing on data integrity and automation while ensuring compliance with financial standards.

The Senior Data Operations Analyst III will manage client implementations, handle healthcare data formats, maintain data pipelines, analyze data, and collaborate with teams for system performance and client needs.

This role involves data analysis, issue resolution in healthcare analytics, validation of data pipelines, and communication of findings with stakeholders.

The Data Entry Clerk will accurately input data, manage records, verify information, and assist with administrative tasks and data projects.

The Senior Auditor - Data Analytics will enhance RRG's data strategy, support audit teams in analytics, develop visualization solutions, and ensure data quality.

The Epic Cadence Analyst II aligns technology solutions with business strategies, analyzes business systems, and collaborates with IT for development and implementation. The role requires effective communication and problem-solving skills while working on multiple projects.

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.