Online Data Analyst Switzerland
The role involves enhancing the quality of digital maps by conducting research and verifying data accuracy. You will perform evaluation tasks in a web-based environment to support the development of AI models.
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The role involves enhancing the quality of digital maps by conducting research and verifying data accuracy. You will perform evaluation tasks in a web-based environment to support the development of AI models.
The Online Data Analyst will enhance the quality of digital maps by conducting research and evaluation tasks in a web-based environment. This involves verifying data accuracy and determining the relevance of information across various task types.
The role involves conducting structured quality audits on spatial and mapping datasets to verify geographic and business information. You will perform root-cause analysis on data discrepancies and provide feedback to refine mapping algorithms.
The Online Data Analyst will enhance the quality of digital maps by performing research and evaluation tasks. This involves verifying data accuracy and determining the relevance of information within a web-based environment.
The Online Data Analyst will conduct structured quality audits on spatial and mapping datasets to ensure accuracy and reliability. This involves evaluating geographic information, performing root-cause analysis on data discrepancies, and providing feedback to refine mapping algorithms.
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The role involves conducting structured quality audits on spatial and mapping datasets to verify geographic and business information. You will perform root-cause analysis on data discrepancies and provide feedback to refine mapping algorithms.
The role involves conducting structured quality audits on spatial and mapping datasets to ensure accuracy. You will evaluate and validate geographic and business information using advanced mapping tools and provide feedback to refine algorithms.
The role involves conducting structured quality audits on spatial and mapping datasets to verify geographic and business information. You will perform root-cause analysis on conflicting data points and provide feedback to refine mapping algorithms.
The Data Analyst will provide functional and technical support for analytics tools while managing the operation and maintenance of data products. They will also design data models, develop Power BI dashboards, and optimize SQL queries to meet business requirements.
The Junior Data Analyst will collect, clean, and organize data to prepare recurring reports and dashboards. They will also analyze trends, perform data quality checks, and support senior analysts with ad hoc research and documentation.
The Business Intelligence Analyst will build and maintain dashboards, reports, and recurring business intelligence solutions to support decision-making. They will also analyze product and business data to identify trends while collaborating with cross-functional teams to ensure data reliability.
Review and evaluate AI-generated outputs based on defined content safety policies and project guidelines. Provide accurate human feedback and document decisions to support the training and improvement of AI systems.
Design and execute adversarial test scenarios to evaluate AI systems against content safety policies and compliance requirements. Document findings, system responses, and identify patterns or gaps in safety controls.
The Quality Assurance Analyst will be responsible for creating test plans, executing manual tests, and troubleshooting technical issues. They will also collaborate with the engineering team to increase automated test coverage and ensure product functionality.
The Senior Cyber Security Operations Analyst will lead complex incident response investigations and drive improvements to security processes. They will also manage security tooling, conduct cloud security audits, and mentor junior team members.
The Senior Data Analyst will integrate and reconcile data from multiple clinical platforms to build dashboards and generate actionable insights for leadership. They will also focus on automating reporting workflows and identifying performance drivers across care teams.
The analyst will evaluate and support the development of AI-enabled healthcare analytics solutions to improve provider performance insights. They will collaborate with cross-functional teams to translate business requirements into effective analytical capabilities and validate AI-generated outputs.
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Facilitate stakeholder alignment and translate business problems into implementable solutions across people, process, and technology. Manage requirements throughout the project lifecycle while tailoring analysis approaches to agile, waterfall, or hybrid delivery models.
You will conduct user research, plan and evaluate A/B tests, and optimize LTV models to improve product functionality and monetization. Additionally, you will build informative dashboards and set up analytics for new features to track their impact on user experience.
The Strategic Business Analyst manages executive relationships and oversees strategic programs to enable digital transformation for clients. They facilitate workshops, gather requirements, and produce high-quality documentation to drive data-driven business decisions.
The Cyber Security Analyst II is responsible for the design, administration, and security of the enterprise Identity and Access Management environment. This role involves implementing modern authentication controls, managing privileged access, and driving identity-related security improvements across cloud and hybrid infrastructures.
The Senior Financial Data Analyst will lead engagements for the Kodiak Automated Reconciliation for Healthcare platform and manage consulting services. They are responsible for developing financial models, performing variance analysis, and providing actionable insights to executive leadership.
The Business Analyst acts as a domain subject matter expert to translate Medicaid policy into system requirements and design artifacts. They lead requirements sessions, support configuration activities, and ensure operational readiness through testing and collaboration with cross-functional teams.
Design, develop, and maintain scalable analytics solutions and dashboards to support executive decision-making. Collaborate cross-functionally to define business metrics and integrate data from various enterprise systems.
The Business Analyst supports operational excellence by transforming data into insights to drive measurable business results across Amazon, Cargo, and Lean Six Sigma pillars. They are responsible for developing benefit-tracking models, validating financial outcomes, and creating executive-level dashboards to support leadership decision-making.
The IT Business Analyst III serves as a liaison between business and technical teams to translate provider feedback and operational needs into actionable system requirements. They support Medicaid and CHIP modernization efforts by documenting business processes, facilitating design reviews, and ensuring system enhancements align with organizational goals.
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The Quality Assurance Analyst ensures software quality through manual and automated testing, including the use of AI-powered tools to improve efficiency and defect detection. They collaborate with cross-functional teams throughout the SDLC to validate requirements, manage defects, and support continuous quality improvement.
The Senior Quality Assurance Analyst will implement and manage the QA process for enterprise applications, including designing testing strategies and executing test cases. They will also act as a Testing SME for Oracle NetSuite and middleware services while coordinating with both onsite and offshore teams.
The Senior Technical Business Analyst will partner with product owners to document requirements and translate business needs into user stories and technical specifications. They will also collaborate with engineering teams to resolve technical ambiguity and guide business users through user acceptance testing.
The Senior Data Analyst will lead the development of analytical solutions to uncover performance trends and support strategic decision-making. They will partner with stakeholders to map business processes and conduct deep-dive analyses to solve complex operational challenges.
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