Top Hybrid Data & Analytics Jobs
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As a Data Analyst, you will support patient experience teams by conducting analyses, measuring product performance, and building business intelligence solutions. You will leverage data to inform strategies and guide decision-making across various cross-functional teams, while also communicating insights and recommendations to stakeholders.
The Technical Services Analyst is responsible for troubleshooting IT issues, fulfilling service requests, managing IT assets and inventory, assisting in IT project tasks, and improving service processes through collaboration and learning. The role involves providing technical support for Microsoft and MAC systems and ensuring effective user assistance.
The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.
Featured Jobs
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Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.
The LME Legal Analyst will review leveraged finance and high yield documentation, produce analyses on distressed scenarios, answer client queries about covenant packages, and use proprietary technology to enhance restructuring databases. The role involves delivering seminars and representing 9fin at industry events.
The Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.
The Data Analyst will provide analytical support across departments, running database queries, creating business intelligence dashboards, and programming tools using Python, Java, or R. Responsibilities include project analysis for clients, refining business data, and enhancing internal tools for efficiency.
As a Senior Data Scientist, you will lead analytics projects, analyze user behavior, develop KPIs, conduct A/B testing, implement statistical models and machine learning algorithms, and collaborate with cross-functional teams to drive business impact and growth.
The People Analytics Analyst will enhance data-informed decision-making regarding workforce and business strategies, focusing on analytical reporting and the use of an HRIS system to improve People Analytics processes and communications within the organization.
The Principal Data Scientist is responsible for building data acquisition pipelines, utilizing various R frameworks for data processing and analysis, implementing data preprocessing techniques, executing machine learning models, generating visualizations, and deploying scalable models within the company’s infrastructure.
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