Top Remote Data & Analytics Jobs in Charlotte, NC
Drive the development of financial models and analytics to improve Thyme Care's financial performance and outcomes. Collaborate with department leads to identify key performance indicators and drive standardization of measurement definitions. Support financial reconciliations, forecasts, and analyses for value-based contracts. Requires experience in cost of care analysis, financial modeling, BI tools, SQL, and strong quantitative background.
Seeking a Senior Data Analyst with a strong foundation in data analytics to join a rapidly growing technology company. The ideal candidate will have a go-getter attitude and the drive to advance their career. They should be excited to challenge the status quo, improve the business, and contribute to the company's mission of positively impacting kids' lives everyday.
Seeking an experienced Senior Catastrophe Analyst to join the Catastrophe Risk Management department. Responsibilities include portfolio analytics, optimization of processes, validation of Cat models, communication with stakeholders, and providing insights on catastrophe risk.
The Senior Catastrophe Analyst will be responsible for overseeing portfolio analytics and risk management to drive profitability. They will work closely with underwriters and other stakeholders, providing insights and building tools and models. Strong proficiency in SQL and programming languages like VBA, R, and Python is preferred. The analyst should have knowledge of commercial insurance and reinsurance, as well as experience with Catastrophe modeling.
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Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.
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As a Senior Machine Learning Engineer, you will develop robust, scalable ML systems using Python and TensorFlow. You will work collaboratively with Data Scientists to turn prototype algorithms into customer-facing solutions and provide technical leadership to junior team members. Your role also involves building data pipelines, collaborating with Product Managers, and making intelligent technical decisions to enhance personalization capabilities.
Responsible for all aspects of data platform, data integration, and data analytics at NBC Sports Next. Leading improvements of existing data solutions and development of new solutions to address business requirements. Act as a company-wide consultant to solve problems using data-driven decisions.
Manage compliance projects, track activities, develop reports, conduct testing, and perform assessments. Engage with various teams to maintain controls and certifications. Monitor and report on certification activities. Identify security risks and develop treatment plans. Provide recommendations for improving operations. Ensure governance systems are functioning as intended. Interface with external parties for audits and assessments. Assist in dealing with compliance problems and maintaining security measures.
The Senior Data Scientist will leverage advanced statistical analysis and machine learning to shape product development and identify opportunities for improvement. They will work with cross-functional teams to deliver analytics solutions and drive the adoption of data products.
Responsible for ensuring metrics consistency between operational teams and executive level business reporting. Collaborate on product and business problems, apply quantitative analysis to develop strategies, and measure the success of product efforts.
As a Principal Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale. Additionally, you will lead the organization to develop and adopt novel ways to increase the speed of the experimentation lifecycle.
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Join our Data Engineering team and lead projects end-to-end to build analytical products and make data-driven decisions at scale. Create tools and software frameworks to support engineers and end users. Drive improvements and ensure the usability of analytical data.
Application Support Analyst responsible for handling customer inquiries, troubleshooting technical issues, and collaborating with the team to provide solutions. Requires 2+ years of customer support experience and a Bachelor's degree in a related field.
Top remote Companies in Charlotte, NC Hiring Data + Analytics Roles
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