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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.
The specialist will conduct qualitative data collection, including interviews and focus groups, in both English and Spanish to support federal government programs. They will also perform data cleaning, apply codebooks, and assist in the analysis and dissemination of research findings.
The Data Quality Analyst will investigate and resolve data quality issues while maintaining and executing standard operating procedures. They will also experiment with AI-assisted workflows and report on data health metrics to cross-functional stakeholders.
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The analyst supports data conversion, migration, and validation activities for insurance brokerage systems during acquisitions and platform integrations. They collaborate with stakeholders to ensure data accuracy, completeness, and alignment with operational and financial requirements.
The role involves evaluating digital content, software applications, and language-based data to improve digital products and AI quality. Responsibilities include rating web applications, classifying content, identifying issues, and conducting quality audits.
The analyst will design ingestion frameworks and implement transformation pipelines to migrate legacy data into Google BigQuery. They are responsible for ensuring data quality, performing reconciliation, and delivering production-grade datasets for analytical consumption.
The Lead Business Analyst will oversee requirements elicitation and compliance validation for a federal environmental data integration program. This role involves coordinating between multiple agencies to align consultation logic and ensure regulatory requirements are met within the platform.
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.
Design and maintain Power BI dashboards to provide actionable business insights while collaborating with stakeholders to drive data-led outcomes. Analyze marketing, student acquisition, and revenue performance to identify trends and support strategic decision-making.
The Data Visualization Analyst will design, develop, and maintain interactive dashboards to transform complex datasets into actionable visual insights. They will partner with stakeholders to define reporting objectives and communicate key trends through effective data storytelling.
The Data Visualization Analyst will design and maintain interactive dashboards to transform complex datasets into actionable visual insights for stakeholders. They will collaborate with cross-functional teams to ensure data accuracy while communicating key trends and performance metrics through effective storytelling.
The Data Business Analyst provides analytical services by gathering operational data and examining past performance to improve processes. They also manage projects involving data aggregation and partner with stakeholders to standardize operating procedures.
The Senior Analyst will analyze data, build value stream maps, and identify process improvement opportunities to support healthcare data management strategies. They will also develop executive-level reports, dashboards, and business cases to guide client decision-making and modernization initiatives.
The Data Science Analyst will analyze complex healthcare revenue cycle data to derive strategic insights and optimize product design. They are responsible for designing and deploying AI/ML solutions and maintaining project documentation.
The Senior Associate is responsible for supporting Real-world Evidence services by delivering complex analyses of data from global observational studies and secondary sources. They will develop analysis-ready datasets, create tables, figures, and listings, and provide programming support to biostatisticians and epidemiologists.
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The analyst will execute entry-level tasks under supervision, including maintaining records and supporting internal meetings. They will also provide assistance to senior analysts while building foundational skills in data analytics.
The Senior Data Analyst will support organizational data engineering efforts by maintaining a high-quality data ecosystem and ensuring data completeness. Responsibilities include implementing SQL queries, identifying data discrepancies, and collaborating with business teams to address data needs.
The Market Data Operations Analyst will monitor and verify market data delivery processes to ensure integrity and SLA compliance for Numerix SaaS clients. The role involves triaging technical issues, managing incidents, and coordinating with internal teams and vendors to maintain operational excellence.
The analyst will manage the Insider Threat and Data Loss Prevention programs to protect sensitive company data. They are responsible for enabling a securely connected digital business and maintaining the organization's security posture.
You will be responsible for evaluating the feasibility of AI and predictive analytics use cases, translating business problems into machine learning solutions, and developing prototypes. Additionally, you will build, test, and validate models while providing data-driven recommendations to support decision-making processes.
The Data Product Analyst acts as a bridge between business stakeholders and technical teams to leverage data for strategic decision-making and process improvement. They are responsible for eliciting requirements, documenting business processes, and ensuring alignment across cross-functional teams.
The Data Integration Analyst II acts as the primary liaison between healthcare clients, vendors, and internal teams to manage complex data integrations and implementation workflows. They are responsible for interpreting, mapping, and validating X12 transactions while troubleshooting data issues to ensure accurate information exchange.
The Data Management Analyst monitors and reconciles DenialsAI account data to ensure complete case creation and progression. They are responsible for building dashboards, identifying data discrepancies, and communicating operational gaps to stakeholders.
The Senior Director Analyst will create innovative research and actionable advice on HR technology, data governance, and AI's impact for global clients. They will also serve as a trusted advisor to CHROs and HR leaders while mentoring junior team members and supporting sales initiatives.
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The analyst will develop SQL queries and workflows to extract, validate, and reconcile complex utility asset data across multiple enterprise systems. They will also create dashboards and reports to transform this data into actionable insights for project teams and utility stakeholders.
The Senior Data Systems Analyst leads the integration of healthcare payer and internal enterprise data into the company's data platforms. This role involves mapping, validating, and standardizing complex datasets to maintain a reliable single source of truth for value-based care.
The analyst will support the data governance office by defining policies, standards, and metrics while promoting a data-driven culture. They will also manage data access controls, validate access requests, and collaborate with security and compliance teams to ensure audit readiness.
The Data Support Analyst will serve as the primary point of contact for ad-hoc data requests from internal teams, including Sales. They are responsible for investigating data discrepancies, resolving basic data issues, and maintaining routine data operations.
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