Top Remote Data & Analytics Jobs in St. Louis, MO
As a Data Specialist, you will bridge the areas between Mission and Engineering Teams by leveraging open-source intelligence (OSINT) to enhance data collection strategies, ensuring mission success for critical customers. Your role involves developing new data methods, assisting with time-sensitive projects, and improving operational strategies based on user needs.
As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.
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The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.
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As a Risk Analyst, you'll analyze data, monitor payroll activities, and mitigate fraud and credit risks while ensuring compliance. Your role includes reviewing accounts for onboarding and regulatory adherence, and escalating potential fraud incidents with documentation and resolution tracking.
The Senior Analyst on Strive’s Performance Team will collaborate with various teams to track performance against organizational priorities. Responsibilities include conducting analyses, delivering customer-facing reports, and preparing presentations for executives. A focus on monitoring performance metrics and identifying improvement opportunities is essential.
Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.
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As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
As a Sports Statistician, you'll attend sporting events, reporting live action through data collection software while ensuring accurate game statistics. Training will be provided for effective technology use. The role requires reliability, organization, and availability during weekends and evenings, along with a good understanding of sports rules.
The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.
The Data Engineer will design, implement, and maintain the data infrastructure for analytics and business intelligence at Endpoint. Responsibilities include developing ETL pipelines, managing data warehouses, ensuring data quality, and collaborating with cross-functional teams to optimize data workflows and support data-driven decision-making.
Top remote Companies in St. Louis, MO Hiring Data + Analytics Roles
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