5,351 to 5,375 of 10,813 Permanent Analytics Jobs

standards while working efficiently toward achievable targets with clear financial rewards. Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insight responsibly and in line with our standards for data governance, security and ethical use What are the key requirements ...

larger and more complex decisions, which is a key part of our workflow. Our credit decisioning is data driven. You'll work alongside our analytics teams to optimise our approach to lending and adapt your own approach in line with that goal. The requirementsEssential: Demonstrates curiosity to use and learn ...

well as keeping up with demand from other sides of the business. We're problem solvers - we work with our Product, Marketing Tech, Analytics, UX Research and Product Marketing teams to define and execute the strategy for product and marketing customer comms, across multiple channels (email, push notifications ...

data and turning this into conversion-centric digital strategies and online experiences. The ability to apply knowledge of user testing and research and web analytics, including user segments and audiences, to the optimisation process. Hands-on experience of using one or more AB testing platforms – e.g., Monetate, Optimizely etc. Experience ...

data and turning this into conversion-centric digital strategies and online experiences. The ability to apply knowledge of user testing and research and web analytics, including user segments and audiences, to the optimisation process. Hands-on experience of using one or more AB testing platforms - e.g., Monetate, Optimizely etc. Experience ...

someone who wants significant ownership and enjoys solving hard problems in fast moving environments. Typical profile4+ years of experience in product, strategy, consulting, analytics or startup environmentsExperience owning products or growth initiativesStrong interest in fintech, lending and technologyComfortable working across both strategy and executionCurious about AI and how new tools ...

finance team that runs on data: driver‐level metrics, profitability models, pricing structures, and operational KPIs. This role exists to own the analytics layer that powers those decisions. As a Senior Data Analyst in the finance squad, you are responsible for how finance sees the business. You own the dashboards ...

client organizations. Proven track record of exceeding revenue goals. Ability to translate partner value across various levels, such as executive, operational, creative, media, and analytics teams. Strong team player and ability to succeed in a fast-paced, rapidly changing environment while maintaining high levels of operational rigor, digital acumen ...

operational excellence. This is an individual contributor role with zero direct reports, giving you total freedom to focus deeply on process engineering, data analytics, and cross-functional problem-solving. You will step into a premier position with the autonomy to review, map, and refine our end-to-end order ...

plans. Contribute to continuous improvement of the Internal Audit function and support audit planning and risk assessment activities. Use Data and Technology Use data analytics, automation and AI-enabled audit techniques to enhance audit coverage, support analysis and improve efficiency. Leverage technology to identify insights, perform testing and strengthen assurance ...

environments. Experience supporting product development, roadmap planning or service improvement activities. Experience using Agile, Waterfall or hybrid delivery methodologies. An understanding of data matching, analytics, reporting solutions or information-based services. Benefits In return for helping us take the fight to fraud, all our employees receive an impressive benefit package ...

moving towards: C#, .NET/.NET Core, Microsoft Azure, GitHub (an increasingly strategic platform), Azure DevOps, CI/CD pipelines and automation, and engineering analytics tooling including the LinearB pilot. The candidate should understand these well enough to challenge, guide and directly contribute to engineering direction. What Success Looks LikeGreater ...

enterprise-scale automation use cases. Hands-on experience building AI-enabled systems, such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics, prediction interfaces, or agentic workflows. Experience working with business-critical systems where reliability, maintainability, operational support, and measurable business impact are essential. Experience collaborating with data ...

regulation, compliance and risk. Be able to show how these considerations influence business design, operating models and change delivery Understanding of data, reporting and analytics concepts, including the role of data in enabling business decision-making. Proven experience of working with business architecture frameworks and methodologies such as TOGAF, BIZBOK ...

execution environments, and self-service IaC modules to streamline onboarding for AI developers. Observability & Telemetry - Implement tracing and metrics collection (Azure Monitor, OpenTelemetry, Log Analytics) across agent executions, tool calls, and pipeline steps. Technical Qualifications Terraform Expertise: 24 years writing production-grade, modular Terraform code targeting Azure infrastructure. DevOps & Automation ...

track market intelligence and surface strategic opportunities. KPI Ownership: Define what success looks like by establishing overarching goals and metrics for launches; partner with analytics teams to measure effectiveness and optimize for maximum ROI. Regulatory Influence: Stay up-to-date on industry trends and regulatory developments in the crypto space ...

tools such as Ardens, iPlato, and Accurx to enhance digital healthcare delivery across practices and the PCN. - Use Microsoft Office 365 tools for advanced analytics, reporting and visualisation to improve and streamline service managements and reduce dependence on manual reporting and ad hoc fixes. Digital Transformation via Collaboration and Communication ...

collaborators. Run user research activities and turn research insights into blueprints, prototypes, and delivery roadmaps that deliver measurable impact. Analysis of data and analytics to evidence along the design process to uncover opportunities, quantify business value, support decision-making, and foster continuous improvement. Collaborate with product, design and delivery teams ...

leading six-figure and seven-figure enterprise sales opportunities involving multiple stakeholders, business units, and procurement processes.* Strong understanding of customer data, martech, adtech, analytics, AI, cloud, or related enterprise technology ecosystems.* Comfortable leveraging AI-enabled tools and modern sales technologies (such as Salesforce, LinkedIn Sales Navigator, Gong, Outreach ...

software solutions which might include Net Inspect, Siemens, SAP, ETQ, One Factory, MasterControl, Compliance Quest, Hexagon, PTC, QT9. Hands‐on experience with data analytics platforms, reporting tools, and basic data visualisation. Demonstrated project management for software system implementation and onboarding suppliers (external users) and internal users. Working knowledge of design ...

enhancement opportunities and best practices across the enterprise through innovation, automation and knowledge sharing. Work with internal and external cross teams globally, including engineering, analytics, account management, product management and sales Oversee troubleshooting issues impacting the team and drive them to resolution Qualifications Who You Are What you’ll bring ...

larger and more complex decisions, which is a key part of our workflow. Our credit decisioning is data driven. You’ll work alongside our analytics teams to optimise our approach to lending and adapt your own approach in line with that goal. The requirements Essential: Demonstrates curiosity ...

GraphQL. Search & Content Platforms: Typesense, Elasticsearch, Contentful or other Headless CMS platforms. Modern Engineering Tooling: LaunchDarkly or feature flagging platforms, OAuth and authentication flows, Analytics integration. Experience with observability tooling such as Grafana. AI-assisted and agentic software development workflows. Nice to Have Financial Services experience. Previous experience working ...

Serverless, Containers, or Cloud Operations experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Bachelor's degree - Experience selling enterprise software or cloud-based applications - Experience explaining complex technical concepts to various business ...

expands its software portfolio. Experience in prospecting, lead generation, needs analysis, solution presentation, proposal creation, negotiation, and closing. Familiarity with CRM software and sales analytics tools. New Technology and AI Demonstrated curiosity and confidence in adopting emerging tools and technologies—especially AI—to enhance sales performance, customer engagement, and productivity. ...