Top Remote Analysis Reporting Jobs in Wichita, KS

As a Business Analyst II, you will act as an internal consultant to improve business processes, implement scalable solutions, and ensure data governance and reporting tools are effective for stakeholders.

The Financial Analyst will apply financial analysis and AI-driven insights to support a dental practice management software platform, focusing on subscription revenue, forecasting, and operational performance.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

The Manager I, Analytics will lead a team to enhance data models, ensure data quality, troubleshoot issues, and manage analytics workflows, impacting healthcare information delivery for beneficiaries.

The Senior Product Analyst will drive data analysis to improve game features, support product strategy, and provide insights through collaboration and presenting findings to stakeholders.

The Vice President of Account Services leads analytics strategy, provides data-driven insights to clients, oversees complex analyses, and develops KPI frameworks to improve nonprofit fundraising performance, while mentoring teams and collaborating across functions.

The Information Governance Supervisor oversees the Information Governance program, managing staff, procedures, systems, training, and compliance across multiple offices.

The CPQ Analyst will automate sales processes through Salesforce CPQ, collaborating with stakeholders to implement and maintain solutions, analyze requirements, and provide support.

The Head of Value Attainment will lead the creation of a value measurement system, manage analytics and commercial frameworks, and support healthcare partnerships to demonstrate Ambience's clinical and financial impact.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.