276 to 300 of 2,367 Analytics Jobs

discipline Technical Expertise Architecture & Design Translating business needs into scalable cloud architectures Cost optimisation and cloud best practices Data & AI Experience with data platforms, analytics, and AI/ML solutions Understanding of data lifecycle management Application Architecture Modern cloud patterns (serverless, containers, microservices) CI/CD and DevOps methodologies Security ...

Global systems. Part of IT, the organization is responsible for a global scope of services that includes HR Application Management, HR Integration, Automation & Analytics, HR Project Delivery and Vendor Management. SAP SuccessFactors is the global HR technology platform for Foundever and supports global processes across Core HR, Talent Development, Talent ...

analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/AI. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT ...

Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java/Full Stack/DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews ...

Python plus quantitative skills to define features that capture evolving fraudster behaviours Develop internal tools to streamline the model training pipeline and analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story ...

related subject Proven experience in data analysis Advanced Microsoft Excel skills Experience with data visualisation tools such as Power BI, Tableau, or Salesforce Analytics Working knowledge of SQL Highly organised and methodical, with the ability to prioritise work effectively Able to work quickly, accurately and under pressure to meet critical ...

Vice President in our Equities Execution Services team, you will have the opportunity to shape the future of algorithmic trading, liquidity, and analytics products for our clients. You will work in a collaborative environment, engaging directly with clients and internal teams to deliver impactful solutions. If you are motivated ...

semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure data exchange across the platform. Security & Reliability Write secure, well ...

security tooling, including SIEM, endpoint protection, and email/web security solutions Ability to proactively conduct threat hunting activities and develop or enhance detection analytics to improve identification of malicious activity Awareness of cloud security controls and standards Experience of managing enterprise systems, including Microsoft Active Directory, Windows and Linux ...

Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java/Full Stack/DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews ...

Essential) Oracle certifications in HFM, Planning, PCMCS, or TRCS. PhD or postgraduate research in AI, data science, or related fields. Experience with AI-driven analytics or emerging AI/ML applications in finance and performance management. Familiarity with OneStream XF or Board as alternative EPM platforms. Prior experience ...

enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts , including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering AI focused change management and adoption programmes with ...

public sector Strong understanding of the public sector landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building ...

analyst , data engineer , data scientist , and ML/AI engineer . The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/AI . Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT ...

plan, schedule, track tasks & dependencies; chase actions; manage risks/issues. Data handling: receive data securely; validate schemas; clean/transform; document data lineage. Analytics: run basic analyses using Excel and ideally other tools (e.g., SQL/Python/R or BI tools like Power BI/Tableau), build light ...

modernizing and optimizing data platforms. Design & Implementation: Develop and maintaining data models, standards, and frameworks to support enterprise data initiatives. Collaboration: Partner with engineering, analytics, and business teams to ensure data solutions meet performance, security, and compliance requirements. Governance & Standards: Establish and enforce data architecture principles, policies, and documentation. Documentation ...

data flows, assurance of process and data integrity to promote sanctity of management information, audit of processing and data to better refine business outcomes, analytics to offer management information and insight, all to enable enhanced asset management across clients portfolio. KBRs latest platform was deployed for the Department of Work ...

Qualifications: Experience with sports event and/or tracking data and deep interest in sports, in particular soccer and tennis. Knowledge of the sports analytics landscape and latest research. We want to stay on top of the latest research in the sports world and apply the latest techniques ...

Data Scientists, and Machine Learning Engineers . The focus areas include Java/Full Stack/DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI , because those are the roles employers continue to hire for. If your pattern is "I reach interviews ...

Data Scientists, and Machine Learning Engineers . The focus areas include Java/Full Stack/DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI , because those are the roles employers continue to hire for. If your pattern is "I reach interviews ...

division’s technology roadmap, with a strong emphasis on AI, ML, and data platforms. Drive innovation in AI‐powered customer capabilities (e.g., personalization, predictive analytics, automation). Evaluate and integrate emerging technologies (LLMs, generative AI, real‐time decisioning systems) into the product ecosystem. Align technical strategy with business objectives ...

engagement ecosystems. Thought leadership contributions, e.g. white papers, conference talks, capability development. Proven experience leading cross‐market or global deployments. Deep understanding of adaptive analytics, model governance, and responsible AI. Experience integrating NBA with CRM, DMP, CDP, and channel orchestration tools. Experience embedding test-and-learn frameworks and ROI measurement ...

client challenges, as well as a creative flair for using data in new and innovative ways. In the complex world of data and analytics, storytelling is key to land these data-driven solutions in a meaningful way. You should therefore have a strong background in data storytelling and building relationships ...

they work. Comfort working in an evolving, established codebase. You are at ease with inherited code and incremental improvement. Familiarity with data pipelines, analytics infrastructure or big data. Translating product priorities into well-scoped technical work. You are comfortable bridging product and engineering. Strong communication skills. You can explain complex ...

move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high ...