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

The Staff Data Analyst will lead data analysis initiatives to derive insights, mentor team members, and enhance data reporting infrastructure. Responsibilities include implementing analytics solutions, collaborating with various departments, using statistical modeling, and creating actionable business insights through data visualization and reporting.

The Operations and Fraud Analytics Lead will utilize advanced analytics to enhance business operations, develop fraud prevention strategies, and optimize profitability, collaborating with various departments to address complex business challenges and improve operational efficiency.

As a Senior Data Engineer at Apollo.io, you will develop and maintain scalable data pipelines, implement monitoring and data quality processes, and work on data model definitions while collaborating with various business units and engineering teams.

The Sr. Manager of Analytics at Lyra Health will lead the analytics team in providing scalable reporting, insights, and operational forecasting. Responsibilities include overseeing data analysis, metric definition, dashboard creation, and team management while collaborating with product and tech teams.

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.

The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.

As a Big Data Engineer, you will lead data migration efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.

The Senior Azure Synapse Data Engineer will develop and configure Azure Synapse Pipelines, collaborate with stakeholders to define requirements, connect systems to the Data Platform, and conduct testing to ensure pipeline performance.