6 of 6 Data Quality Jobs in Staines

analytical and problem-solving capability. They will be expected to challenge assumptions, investigate complex reporting issues, influence stakeholders, and drive improvements in reporting processes, data quality, automation, and business insight. Key Responsibilities Ownership of Group Bookings and ARR Reporting Own the monthly Group Software Bookings … dive analysis into ARR drivers, retention trends, renewals, churn, install-base performance, expansion rates, and new logo acquisition. Identify business performance trends and translate data into meaningful recommendations. Investigate anomalies and resolve reporting discrepancies. Develop actionable insights to support strategic and operational decision-making. Data Quality ...

delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. About the Role We are looking for an experienced Workday Technical AMS Lead – Financials to lead technical application support … payroll systems. Support integrations with systems such as Microsoft Dynamics 365 Finance, NatWest Bankline, Workday Adaptive Planning, Atamis and IRIS. Troubleshoot integration failures, data errors, failed transactions and financial reconciliation issues. Work with third-party vendors and middleware teams to resolve integration issues. Reporting, Analytics & Documents Develop and maintain ...

Join IFS. Build and curate the ontology, knowledge graph and grounding infrastructure that let AI agents understand IFS software and reason accurately over customer data, turning what the platform already knows about itself, plus deep industry expertise, into a semantic layer other engineers and agents can trust. Key responsibilities … embeddings, vector databases, hybrid search, chunking and indexing strategies, memory architectures, and grounding techniques that keep agent outputs accurate and traceable to source. Establish data quality, provenance and versioning practices for the knowledge graph, so changes are traceable and agent behaviour built on top of it doesn ...

processes, including authenticated and unauthenticated scanning, agent deployment, coverage checks, validation of findings, cloud exposure reviews and ongoing service improvement. Consolidate and normalise security data into a single pane of glass, supporting exposure management, vulnerability records, assignment groups, remediation tracking, exception management, governance evidence and reporting workflows. Assess vulnerabilities … based prioritisation. Correlate, deduplicate and prioritise findings from vulnerability scanning, penetration testing, breach and attack simulation, Red Team activity, cloud platforms and other exposure data sources to provide one clear position on risk and remediation. Drive remediation activity with infrastructure, application, cloud, network and business teams, ensuring risk ...

close, while also supporting partners to build their own self-generated pipeline. Success will be measured through booked net new revenue and the quality and predictability of pipeline generated across direct and partner-influenced channels Pipeline Generation & Opportunity Management Proactively identify, generate and qualify new business opportunities across multiple … annual quota targets for net new revenue. Deliver a predictable, well-qualified pipeline sufficient to support consistent quota attainment. Apply disciplined CRM and data-quality standards across all direct and partner-influenced opportunities. Support the execution of relevant IFS marketing campaigns and partner-related events within the territory. ...

graph and grounding infrastructure to enable AI agents to reason over customer data. You will design MCP servers, build semantic layers, and establish robust data quality, provenance and versioning while collaborating with domain experts and other engineers to deliver scalable, trustworthy AI #J-18808-Ljbffr ...