Top Senior Level Data & Analytics Jobs in Kansas City, MO

As a Senior Data Engineer at MNTN, you will develop and manage data pipelines, design architecture for high-quality data, and generate insights from complex datasets to enhance client metrics. Collaboration across functions is essential to improve the marketing experience and resolve critical data incidents.

As a Senior Data Scientist at Amperon, you'll build and deploy advanced machine learning models for time series forecasting in the energy sector. You'll validate data, create forecasting features, and analyze consumption patterns to optimize energy distribution. Your work will directly impact sustainable energy solutions.

The Data Analyst will oversee machine learning model development, create interactive dashboards, conduct data analysis for insights, and ensure data quality within the MEDCHART system. They will collaborate with stakeholders to meet model requirements and report findings efficiently.

The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.

The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.

As a Senior Data Analyst at Typeform, you will collaborate with stakeholders to explain business performance metrics, conduct data analysis using SQL and Python, and create automated reports. You'll work closely with Marketing, Product, and Sales to align analytics with business goals and support data-driven decision-making through experimentation and insights.

As the Lead Risk Quantification Analyst, you will develop probabilistic models, derive insights from quantitative analyses, and communicate findings to leadership. You will collect and report cybersecurity risk metrics while overseeing the maintenance of risk models and conducting peer reviews. Additionally, you'll manage training services and collaborate with IT and Cybersecurity experts to frame business problems and identify data for risk modeling.