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The Data Visualization Analyst will design and maintain performance-efficient dashboards and reports to make complex data accessible for business stakeholders. They are responsible for transforming and integrating data while ensuring information accuracy across all reporting platforms.
The Senior Data Protection Analyst will perform technical analysis of data security incidents and identify potential insider threats within the customer environment. They are responsible for refining data protection policies, managing incident response documentation, and improving detection accuracy by eliminating false positives.
Annotate 2D and 3D objects across images, video, and LiDAR point clouds to support perception model training. Maintain high-quality standards by following detailed guidelines and documenting tooling or data issues.
You will lead the development of executive-ready reporting, dashboards, and scorecards to provide insights into data quality, governance, and operational performance. Additionally, you will partner with cross-functional stakeholders to align metrics and automate reporting processes to drive data-driven decision-making.
Design and build scalable data pipelines to transform raw healthcare data into structured, reusable assets for AI and analytics. Collaborate with cross-functional teams to maintain data quality and develop condition-suspecting algorithms for risk adjustment.
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The analyst will ensure the accuracy and integrity of financial data while supporting the maintenance of the chart of accounts. They will also collaborate with stakeholders to clean data, track quality issues, and implement internal controls to improve accounting processes.
You will own the quality, integrity, and reliability of data by designing validation rules and reconciliation processes across systems. Additionally, you will investigate data integrity issues and collaborate with engineering teams to build pipelines that support structured and validated data.
You will conduct risk assessments on clinical trial data to identify potential issues and recommend mitigation strategies. Additionally, you will monitor data quality throughout the trial process and collaborate with cross-functional teams to implement risk management plans.
The Data Security Analyst will lead the design, implementation, and optimization of enterprise security controls across data centers, cloud, and remote environments. They are responsible for managing firewall policies, investigating security incidents, and collaborating with cross-functional teams to ensure robust network security posture.
The analyst will perform clinical trial data analysis to develop forecasts and support strategic decision-making for key stakeholders. They will also lead portions of clinical projects and identify process improvements to optimize clinical affairs operations.
The analyst will review scientific literature to extract and maintain psychometric data within the COAA platform. They are also responsible for performing quality control checks to ensure the accuracy, consistency, and completeness of the data.
The analyst will support financial reporting, data management, and reconciliations to ensure accurate financial records. They will also assist with month-end close activities and perform data analysis to identify operational trends.
The Senior Data Governance Analyst will act as a liaison between business stakeholders and technical teams to manage data governance, mapping, and migration for enterprise platform transformations. They are responsible for profiling data, defining business rules, and ensuring data integrity throughout the migration process.
The Data Privacy Analyst ensures organizational compliance with privacy laws and manages the full life cycle of Data Subject Access Requests (DSAR). They also analyze suspected privacy incidents and coordinate breach notification efforts with internal and external stakeholders.
The Data Governance & Analytics Analyst transforms complex enterprise data into trusted insights to drive business decisions and operational performance. The role collaborates with stakeholders to define governance priorities, improve data quality, and leverage AI-enabled capabilities for continuous improvement.
The Principal Data Intelligence Analyst leads strategic clinical operations analytics projects to improve quality, safety, and financial performance. They partner with stakeholders to define business requirements, develop complex data models, and provide actionable insights using advanced analytics.
The Principal Data Intelligence Analyst serves as a strategic partner for pharmacy operations, translating business requirements into actionable analytics and reporting solutions. They lead client engagement, manage the full analytics lifecycle, and provide subject matter expertise to support clinical and financial performance.
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The Data Governance Analyst will assist in managing and improving data governance processes, standards, and frameworks across the organization. They will collaborate with data owners and stewards to ensure data accuracy, consistency, and security while maintaining data dictionaries and catalogs.
The Data Surveillance Analyst is responsible for analyzing scientific and operational data to support the Data Surveillance process and reviewing project-specific Quality Tolerance Limits. They also configure and maintain data surveillance technologies and document findings from surveillance activities.
The Data Governance Analyst is responsible for executing governance practices, including data quality monitoring, metadata management, and lifecycle tracking. This role involves investigating data anomalies, collaborating with technical teams to resolve quality issues, and ensuring compliance with healthcare regulatory standards.
The Data Operations Analyst will execute comprehensive data collection and research to maintain accurate organizational charts for U.S. government entities. They will also employ data analysis techniques to identify patterns and collaborate with interdisciplinary teams to improve data quality and operational workflows.
The Data Surveillance Analyst is responsible for analyzing scientific and operational data to support the Data Surveillance process and reviewing project-specific Quality Tolerance Limits. They also configure surveillance technologies, document findings, and collaborate with project teams to address data quality signals.
The Data Governance Analyst is responsible for establishing and maturing the organization's enterprise data governance framework and policies. This role collaborates with cross-functional teams to ensure data quality, consistency, security, and compliance across all business and technology platforms.
The Data Migration Analyst will manage full-cycle data migrations from legacy systems into the company's SaaS platform. They will collaborate with product teams to map, cleanse, and transform data while ensuring accuracy and providing customer support during transitions.
The Data Quality Analyst will execute and monitor data quality checks to ensure the integrity of migrated healthcare data for the Department of Veterans Affairs. They will also investigate discrepancies, coordinate corrective actions, and prepare status reports for technical and non-technical stakeholders.
You will engage with clinical and business stakeholders to translate their needs into actionable visual data communications and automated dashboards. Additionally, you will collaborate with data and software engineers to ensure data quality and maintain robust, reproducible data flows.
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Lead the design and development of CX data intelligence solutions, including AI-driven insight agents to monitor operational health. Partner with cross-functional teams to translate complex data into actionable strategies that improve customer experience and retention.
The Senior Analyst will manage the company's financial technology stack and data infrastructure while performing hands-on financial and operational analysis. They are responsible for building executive dashboards, optimizing system integrations, and providing data-driven insights to support strategic decision-making.
You will define, build, and monitor data quality processes while triaging and resolving complex data anomalies within the Healthcare Map. Additionally, you will partner with customer-facing teams to reconcile client requirements and manage data product bugs.
The Data Quality Analyst will perform regular data validation and quality checks to ensure data accuracy, completeness, and reliability. They will investigate data discrepancies, identify root causes, and collaborate with cross-functional teams to resolve issues and improve data processes.
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