Top Remote Senior Level Data & Analytics Jobs in Kansas City, MO
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 for data integration, collaborate with stakeholders to define technical requirements, connect systems to a client’s Data Platform, and conduct testing to ensure pipeline performance.
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The Senior Data Analyst at Dutchie will implement measurement strategies for digital products, collaborate with product and ad-tech experts, create insightful reports and dashboards using SQL, and ensure data quality and availability. The analyst will leverage analytics to improve products and drive action within the company.
The Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions. They lead data engineering projects and collaborate with cross-functional teams to enhance data initiatives.
The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.
The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.
As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.
As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.
The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.
As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.
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