Top Senior Level Data & Analytics Jobs in Kansas City, MO
The HR Analyst audits and analyzes HR-related compensation and benefit areas, prepares reports and forecasts, reviews financial records for accuracy, supports Total Rewards projects, and develops metrics for decision-making. This role requires strong analytical skills and the ability to communicate insights effectively.
As a Senior Data Scientist, you will collaborate with product teams to generate insights that enhance growth and engagement. Responsibilities include building dashboards, delivering analyses, designing experiments, and communicating findings to drive product improvements and customer experience.
As a Senior Analyst in Pricing Strategy & Operations, you will define and report on subscription billing models, support incentive compensation processes, analyze performance metrics, manage KPI reports, and drive improvements for the Sales and Service teams through collaboration and strategic project assistance.
Seaport Research Partners seeks a Senior Equity Analyst with at least 7 years of experience in equity research. The role involves generating differentiated research, maintaining strong buy-side client relationships, and providing management access opportunities. Candidates should possess excellent communication skills and an entrepreneurial mindset, with MBAs and/or CFA preferred.
The GTM Analytics Manager will lead business performance metrics, provide data-driven insights for strategic planning, develop business intelligence solutions to support growth initiatives, and assist the executive team in decision-making processes.
As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.
The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
The Senior Process Analyst will design and deliver transformation and continuous improvement roadmaps, focusing on optimizing global processes in finance planning and analysis. Responsibilities include facilitating workshops, performing gap analyses, documenting processes using BPMN, and driving adoption of transformations through effective stakeholder engagement.
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