Top Data & Analytics Jobs in Kansas City, MO
The Staff Research Scientist will focus on the pathophysiology of neurological and psychiatric disorders, conducting advanced electrophysiological experiments and data analysis. The role requires independence in experimental design, strong technical skills, and effective communication, while collaborating with a team to generate informative research data.
The Risk Analyst will support the Strategic Risk Management team in conducting risk assessments, managing third-party risks, and ensuring compliance with regulatory standards. Responsibilities include developing risk mitigation strategies, coordinating audits, maintaining procedures, and communicating findings to stakeholders.
The Sr. Quality Assurance Analyst will lead integration activities with vendor QA teams, manage QA projects, ensure stakeholder interactions, and develop comprehensive test plans. They will collaborate with teams to oversee testing efforts, improve quality processes, and lead defect management initiatives while supporting a hybrid QA organization.
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The Associate Data Analyst will collaborate with business partners to gather requirements and develop reporting and visualizations using SQL, Excel, and Python. Responsibilities include adhering to data standards, managing incidents, and following Data Governance guidelines while driving quality analytical outcomes. A focus on continuous learning in analytics is essential.
The Data Engineer III is responsible for constructing high-quality datasets, writing SQL queries, monitoring database stability, and assisting with data governance. They lead and mentor a team, architect data management systems, and create data pipelines on AWS. They also work independently to solve complex problems and collaborate with stakeholders to develop reliable solutions.
The Senior Financial Data Analyst will create and analyze financial statements, partner with operations to improve understanding of earnings, identify challenges and opportunities in branch financials, develop processes for financial data analysis, and design dashboards for better financial insights.
As a Data Engineer, you will be responsible for maintaining, cleaning, and manipulating data in operational and analytics databases. You will design and develop Snowflake data warehouse solutions, implement ETL processes, work with data suppliers, and collaborate with cross-functional teams to deliver data solutions while staying current with industry trends.
As a Senior Data Scientist in Computational Biology, you will integrate and analyze omics data, ensure data quality through bioinformatics pipelines, conduct biological analyses to support drug discovery, and communicate results effectively across various teams. You will contribute to target identification and validation, collaborating with multi-disciplinary experts in the field.
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The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.
Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.
Top Companies in Kansas City, MO Hiring Data + Analytics Roles
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