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You will own the end-to-end design of compliance dashboards, regulatory reports, and automated data pipelines to ensure audit-readiness. Additionally, you will collaborate with cross-functional teams to translate complex regulatory requirements into scalable data models and actionable insights.
Provide 24/7 technical support for cloud-based applications and infrastructure, including incident remediation and troubleshooting. Manage service level reporting, disaster recovery procedures, and collaborate with cross-functional teams to resolve complex issues.
Develop financial models and unit economics to connect technology costs to business metrics while managing cloud infrastructure spend. Partner with cross-functional teams to operationalize FinOps, perform budget forecasting, and provide financial narratives for leadership.
The Business Intelligence Analyst supports organizational decision-making by collecting, manipulating, and disseminating data through dashboards and reports. They act as a subject matter expert to validate data accuracy and collaborate with stakeholders to translate requirements into actionable insights.
The Business Analyst will drive performance and optimization within the payments and fraud function by developing KPIs and scalable reporting. They will translate complex data into actionable insights to improve fraud detection, payment authorization rates, and overall revenue protection.
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The Lead Data Analyst will collaborate with clients to map data, analyze large datasets, and support the development of data pipelines and ETL processes. They are also responsible for identifying data quality issues, optimizing ingestion workflows, and presenting analytical findings to stakeholders.
The Senior Business Analyst leads business process design and requirements validation to align IT solutions with strategic healthcare objectives. They also manage training material development and provide mentorship to junior team members across multiple complex accounts.
The Business Analyst will drive strategic initiatives and operational excellence by developing data-driven insights and KPI measurements. They are responsible for managing business requests, supporting workflow optimization, and coordinating leadership communications and planning sessions.
The Business Analyst will analyze client pension plan rules and configure software to meet specific plan requirements. They will also act as a liaison between clients and project teams while supporting testing strategies and software integration.
The Appian Configuration Analyst will configure and optimize Appian-based solutions, including workflows, business rules, and interfaces, to support enterprise acquisition system modernization. They will collaborate with cross-functional teams to translate business requirements into technical configurations while ensuring performance and scalability.
The Business Analyst will act as a bridge between Product and Engineering to translate complex business requirements into actionable user stories. They will manage the product backlog, facilitate Agile ceremonies, and ensure high-quality delivery through collaboration with cross-functional teams.
The Enterprise AI Business Analyst will lead the implementation of AI tools like Google Gemini for Gov and M365 Copilot by identifying business requirements and ensuring compliance with federal security standards. They will facilitate workshops, manage user feedback, and coordinate operational readiness across technical and functional workstreams.
The Senior Business Analyst will lead a team of analysts to provide functional and technical expertise for Medicaid claims configuration within a maintenance and operations environment. They will translate complex client requirements and Medicaid policies into scalable QNXT configuration solutions while ensuring quality and accuracy.
The Senior Business Analyst will govern and validate AI-generated requirements while ensuring alignment with business rules and data mappings. They will also coordinate team activities, bridge communication between clients and technical staff, and oversee the end-to-end delivery lifecycle.
The Senior Business Analyst develops and maintains business process models, workflows, and training materials to support enterprise solution implementations. They facilitate workshops with stakeholders to gather requirements, analyze process gaps, and ensure operational readiness through cross-functional collaboration.
The Business Analyst shapes business and customer needs into clearly defined, planned, and delivery-ready work. They are responsible for defining problems, capturing requirements, and building integrated delivery plans with clear dependencies and milestones.
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The Business Analyst will gather and analyze business and system requirements to create actionable use cases for internal teams. They will facilitate requirements workshops, collaborate with stakeholders, and manage projects from inception through to delivery.
The Oracle Business Analyst will gather and document functional requirements to translate business needs into effective Oracle-based solutions. They will also coordinate with technical teams to support Oracle ERP implementation, testing, and process automation.
The Enterprise AI Business Analyst will collaborate with stakeholders to identify business requirements and define technical specifications for AI platform implementations. They will also lead user feedback collection, manage program risks, and ensure alignment with federal compliance standards.
The Amplify Data Analyst provides analytical support for carrier and sales teams by building operational dashboards and performance reports. This role involves collaborating with stakeholders to drive business insights, manage P&L reporting, and develop forecasting models to optimize operational outcomes.
The role involves analyzing large datasets to generate actionable business insights and developing analytical solutions. You will manage end-to-end analytical projects while collaborating with cross-functional stakeholders to translate business needs into data-driven recommendations.
The Business Analyst will lead the implementation and support of Oracle Cloud modules, focusing on manufacturing, quality, costing, and planning workstreams. They will facilitate requirement gathering, manage system configurations, lead testing activities, and act as a liaison between business units and IT teams.
The role involves building ETL workflows to manipulate data and collaborating with cross-functional teams to document product requirements. You will also support client retention by resolving issues through data analysis and contributing to team knowledge management initiatives.
Gather and document requirements for Oracle Cloud integrations, translate business needs into functional specifications, and coordinate integration testing, defect resolution, and user acceptance testing. Maintain integration records, monitor workstream progress, communicate risks and dependencies, and collaborate with business and technical partners to support release readiness.
You will gather and transform complex data from various sources to uncover actionable insights that drive product and growth decisions. You will also collaborate with product managers and engineers to define key metrics and build insightful dashboards.
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You will gather and transform raw data into actionable insights to guide product strategy and growth. You will also collaborate with product managers and engineers to define key metrics and build data-driven dashboards.
You will gather and transform raw data into actionable insights to guide product strategy and growth. You will also collaborate with product managers and engineers to define key metrics and build data-driven dashboards.
The analyst will manage and reconcile product master data across enterprise systems while leveraging AI tools to improve data quality and governance. They will also define validation rules, perform data profiling, and collaborate with cross-functional teams to resolve complex data issues.
You will own the architectural direction of the commercial analytics layer, defining canonical metrics and ensuring data quality across the GTM engine. Additionally, you will mentor analysts and partner with senior leadership to translate complex business problems into scalable, data-driven solutions.
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