1,951 to 1,975 of 6,534 Analytics Jobs

models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial modeling. Leadership, consulting, and communication skills. Characteristics Trusted advisor with strong influence skills. Innovative thinker with situational awareness. More ❯

mapping our sales processes. Key Responsibilities: CRM Management: Oversee and maintain, the development and utilisation of the CRM across the company. Ensuring data accuracy, correct coding, and usability. Reporting & Analytics: Managing the development and maintenance of our BI reporting. Using this platform to provide insights to support decision-making. Forecasting & Budgeting: Managing sales forecasting and budgeting processes. Training and Support More ❯

and documentation across the project. You'll be part of a dynamic Information Management team, aligning strategy with ISO 19650 and ISO 27001, and supporting digital integration and advanced analytics across the alliance. Key Responsibilities In this role, you'll: Develop and implement the project's Information Management strategy, aligned with international standards. Oversee and integrate Common Data Environment (CDE More ❯

mapping our sales processes. Key Responsibilities: CRM Management: Oversee and maintain, the development and utilisation of the CRM across the company. Ensuring data accuracy, correct coding, and usability. Reporting & Analytics: Managing the development and maintenance of our BI reporting. Using this platform to provide insights to support decision-making. Forecasting & Budgeting: Managing sales forecasting and budgeting processes. Training and Support More ❯

mapping our sales processes. Key Responsibilities: CRM Management: Oversee and maintain, the development and utilisation of the CRM across the company. Ensuring data accuracy, correct coding, and usability. Reporting & Analytics: Managing the development and maintenance of our BI reporting. Using this platform to provide insights to support decision-making. Forecasting & Budgeting: Managing sales forecasting and budgeting processes. Training and Support More ❯

PySpark coding skills You have experience in batch, distributed data processing and near real-time streaming data pipelines with technologies such as Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best More ❯

electronic healthcare systems to ensure the secure capture, maintenance and interpretation of health data. KEY ACCOUNTABILITIES •Be responsible for the management of electronic health records (EHR) and health data analytics systems. •Optimize, customize and drive development of healthcare platforms for improved functionality, utility and efficiency. •Become proficient and a subject matter expert of the SeaCare EHR system. •Investigate deficiencies in More ❯

related to data enablement. Contributing to the development of data visualizations and dashboards. Supporting data science projects by assisting in the design and development of machine learning models, predictive analytics, and other data science applications. Lead on team communications - producing monthly internal infographics and newsletters. Manage user acceptance testing and compliance auditing. Embrace Agile ways of working by taking on More ❯

e.g., Jenkins, Azure DevOps) Desirable Knowledge Familiarity with observability and performance tools such as Dynatrace, Stackdriver, Cloud Monitoring, or similar Exposure to cost monitoring, logging frameworks, and cloud consumption analytics Personal Attributes Ability to mentor and support engineers in adopting SRE methodologies Logical and structured problem-solving approach Excellent collaboration and communication skills within cross-functional teams Strong awareness of More ❯

alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and feedback on tooling and to build impactful More ❯

alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and feedback on tooling and to build impactful More ❯

Command's (USSOCOM) Intelligence Data Science Team (IDST) and Special Operations Forces Acquisitions, Technology & Logistics (SOF AT&L). The IDST is a government-led team focused on data analytics efforts within the USSOCOM Directorate of Intelligence (J2) and its subordinate command's intelligence lines of effort. The IDST helps USSOCOM intelligence analysts by turning the Command's data into More ❯

they’re investing in their data capabilities to better support business-critical decisions across Commercial, Marketing, and wider business functions. The Role This role sits within the EMEA Data & Analytics function and will play a pivotal role in supporting the commercial team while collaborating with internal US engineers and external vendors (TCS). You’ll work to align EMEA capabilities More ❯

Knowledge of complex data extraction and database design techniques. Strong problem-solving skills to interpret complex information requests and synthesize complicated requirements from multiple sources. Preferred experience with Cognos Analytics report building. Strong attention to detail and commitment to data accuracy. Strong written and verbal communication skills. Key Responsibilities for the Data Analyst: Identify and analyze business needs, develop reporting More ❯

non-functional requirements (NFRs) into actionable configurations across tools such as Splunk, Dynatrace, and AppDynamics. Deliver full-stack observability solutions, including application-aware network performance monitoring (NPM), synthetics, log analytics, and infrastructure metrics. Provide live support for monitoring technologies and assist with live service support, including key business events and incident response (some KBE's may be out of hours More ❯

Functional Collaboration: coordinate across development, marketing, sales, and design teams to ensure seamless execution, timely delivery, and a strong product-market fit. Make Data-Driven Decisions: utilize customer insights, analytics, and behavioral data to prioritize features, validate hypotheses, and enhance user experience. Foster Innovation: identify opportunities for market disruption and lead the ideation, prototyping, and iterative release of new features More ❯

efficiency, utilizing the latest in machine learning, natural language processing, and predictive analytics. 3. Technology Integration: Seamlessly integrate AI solutions with existing enterprise systems and platforms, ensuring robust data analytics capabilities and operational effectiveness. 4. Client Collaboration: Establish strong, consultative relationships with clients, understanding their unique challenges and opportunities to deliver tailored AI solutions. 5. Leadership & Talent Development: Mentor and More ❯

understand their perspectives, needs, processes, and constraints to facilitate effective and efficient business process changes Utilize skills and experience in the areas of structured problem solving, business analysis, data analytics, design thinking, lean process improvement and undertake process design and process re-engineering to support performance excellence in the organisation to identify strategic initiatives. Experience in Payments/Fintech. Qualifications More ❯

understand their perspectives, needs, processes, and constraints to facilitate effective and efficient business process changes Utilize skills and experience in the areas of structured problem solving, business analysis, data analytics, design thinking, lean process improvement and undertake process design and process re-engineering to support performance excellence in the organisation to identify strategic initiatives. Experience in Payments/Fintech. Qualifications More ❯

findings to stakeholders in a clear and concise manner. Campaign Optimization: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimization, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Required Skills: Strong Econometrics Background: Expertise in statistical methods like linear regression, generalized linear More ❯

and Vacancies. Find a new job and work in Wokingham, Berkshire. Multi-Job Board Advertising and CV Sourcing Recruitment Services provided by AWD online. Data Analysis Data Management Data Analytics Data Intelligence AWD online specialise in sourcing candidates and advertising vacancies on multiple job boards for companies on a non-commission basis. AWD online operates as an employment agency. AWD More ❯

and analysis within the 24x7 SOC. It will cover analysis, monitoring, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter working with the best standard technologies. Effective Tier More ❯

have the following: * Strong ITIL or Service Management background * ApptioOne, PowerApps, PowerBI * Knowledge and application of relational database concepts * Experience of large global organisations, ideally banking * Good with data analytics and data mining. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level More ❯

decision-making. Lead Data Engineering and Data Science functions to successful outcomes, integrating disparate data systems into the Modern Data Platform. Evaluate and implement cutting-edge technologies supporting advanced analytics, AI/ML capabilities, and data visualization. Work with IT and operations teams to optimize data pipelines, storage, and processing frameworks for real-time and predictive insights. Partner with actuarial More ❯

many of the following areas, with deep expertise and experience in at least three: System Architecture, IT Operations, Networking, ITIL Framework, DevSecOps, Application Development, Agile Methodologies, Data Sciences, Data Analytics, Artificial Intelligence, Robotic Process Automation, Information Assurance, Zero Trust Architecture or Cyber Security Demonstrated experience evaluating, recommending, and developing proposed improvements for legacy systems. Demonstrated experience and knowledge with cloud More ❯