Top Analytics Jobs in Kansas City, MO

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.

The Senior Director will establish and lead the Real-World Data & Analytics group, oversee RWD strategy, engage in complex analytics projects, and build a high-performing team in the oncology domain.

The Senior Analytics Engineer will build data models and dashboards, ensuring data quality and governance, while collaborating with teams to answer business questions and improve resident engagement.

The Analytics Manager, GTM at Docker will develop and manage dashboards for the Sales team, leveraging SQL and data to drive pipeline generation through actionable insights, while ensuring data accuracy and usability.

As an Analyst in the Insights and Analytics team, you will analyze data to boost audience understanding, enhance revenue strategies, and support sales initiatives through actionable insights.

As an Analytics Engineer, you'll own analytics solutions from data architecture to visualization, ensuring streamlined insights for business stakeholders.

The Director of Data & Analytics Engineering will lead and build data platform teams, manage architecture and strategy for data systems, and integrate AI in workflows, ensuring reliable, agile data solutions meet business needs.

The HR Data & Analytics Consultant will deliver metrics and insights for HR services, perform analyses, create presentations, and manage analytics products. They will leverage AI and technology, ensuring high-quality analytics and decision support in a fast-paced environment.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Drive go-to-market revenue analytics and strategy by building forecasts, dashboards, and ad-hoc analyses. Partner with Sales, Sales Ops, and Finance to set targets, quota, and deliver actionable recommendations to executive leadership.

As an Analytics Engineer at Axios, you'll design and maintain data products and visualizations, improving decision-making through actionable insights.

The Director of Data Analytics will lead a team focused on data metrics, especially ARR, and oversee the execution of data initiatives across the organization.

The Senior Data Scientist will lead revenue-driving initiatives, optimize strategies, enhance data analysis techniques, and improve data pipelines for maximum revenue impact.

Lead a team of analysts to advance fraud and safety operations through analytics, ensuring robust data products and compliance while empowering stakeholders with actionable insights.

The Actuary analyzes financial and economic data for strategic decisions, ensures data integrity, collaborates with stakeholders, and evaluates market trends.

Manage a team of analysts to develop data-based solutions and tools in reporting and analytics to improve patient outcomes and drive business efficiency in healthcare.

As a Senior Analytics Engineer, you will develop and maintain Looker semantic layers, design BI models, and ensure data quality for business reporting.

The Principal Technical Consultant will lead the design and implementation of complex data solutions, mentor junior staff, and engage directly with clients, requiring a strong background in cloud and open-source technologies as well as project leadership skills.

In this role, you will lead deal analytics efforts, providing data-driven insights for strategic decisions, manage client relationships, and develop junior team members while participating in business development activities.

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

The Senior Business Intelligence Engineer leads commission analytics initiatives, develops actionable insights using Heap, and mentors junior engineers.

Own end-to-end solution analytics for sales and partners: scope pilots, run analyses, build ROI narratives, present insights to stakeholders, and support partner success and product teams to reduce fraud and demonstrate value.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

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.