Top Analytics Jobs in Kansas City, MO

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.

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.

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.

The Sales Analytics Consultant partners with Sales Leadership to analyze sales data, improve forecasting and pipeline health, and create actionable insights through dashboards and reports.

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 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.

As a Senior Manager, Analytics, you'll lead a team of analysts to shape experiments, define metrics, and analyze data across initiatives, contributing to data culture and AI-driven innovation.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

As a Data Analytics Engineer I, you'll bridge engineering and analytics, manage data pipelines, collaborate with stakeholders, and utilize modern open-source tech for data transformation and integration in structured finance.

The role involves managing analytics for Sales and Customer Service including reporting, commission payouts, performance analysis, and staffing models to drive operational growth.

The Director of Analytics & GTM Systems leads analytics and systems functions, driving data-informed decisions and overseeing teams. They enhance operational efficiency, implement AI solutions, and align strategies with stakeholders, creating impactful business capabilities and fostering decentralized decision-making.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

As a Senior Analytics Engineer, you'll design metrics, generate insights, implement robust data models and pipelines, drive analytics initiatives, and optimize ad strategies for Netflix's new ad-supported tier.

Manage delivery of analytics projects in healthcare, translating business questions into data analyses and collaborating with cross-functional teams to meet client needs.

The Finance Analytics Engineer will develop analytics-ready data models, collaborate with stakeholders to design data solutions, and support Finance reporting and AI use cases.

Lead the Global Analytics team at Hitachi Vantara, driving data-driven decision making by managing data analysis projects and mentoring analysts.

The Supervisor of Analytics Reporting position involves monitoring model performance, developing reports, providing mentorship, and utilizing analytical tools to drive business decisions. Responsibilities include data extraction, reporting on KPIs, and leading the analytics team to achieve business objectives.

Lead the architecture and development of data ecosystems and analytics capabilities, optimizing data products for customer insights and decision-making.

The Ecommerce Data Analytics Manager analyzes pricing, profitability, and marketing performance to optimize revenue and improve decision-making across the ecommerce business.

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.