2,401 to 2,425 of 6,032 Analytics Jobs

ideas and technology. We seek creative collaborators who adapt, evolve, and thrive in a fast-paced global environment. As a Marquee Sales Strategist, you will develop models to generate analytics that enhance client service, partnering with traders, salespeople, and strategists across asset classes to promote platform adoption and deliver relevant, timely content. Key technologies include Python, Jupyter, Pandas, Trino, and More ❯

waste. SUEZ Digital Solutions, a SUEZ subsidiary, is committed to improve the environmental and economic performance of water & waste industries by leveraging the expertise of SUEZ Group through data analytics and AI. The 700+ experts of SUEZ Digital Solutions design, develop, deploy smart water, and smart waste solutions worldwide. More ❯

practices and new tools in product management Person specification Ideal candidates will have: Experience in developing and releasing digital products using agile methodologies Understanding of disciplines like engineering, UX, analytics, and data science Experience engaging with users and turning insights into improvements Stakeholder management skills to deliver user-centered products Excellent communication skills for influencing and reconciling stakeholder needs Ability More ❯

hyperautomation frameworks . Strong understanding of AI/ML technologies , including their application in business process automation and decision intelligence. Demonstrated ability to identify opportunities independently through process mapping, analytics, and stakeholder feedback. Exceptional stakeholder management and communication skills , including the ability to influence senior leadership and align cross-functional teams. Experience in strategic planning , innovation pipelines, and change management More ❯

reduce costs, improve decision-making, and ultimately deliver better outcomes for businesses and individuals. Our focus lies in two key areas: AI for Insurance Technology (InsurTech) - driving automation, predictive analytics, claims management, fraud detection, and customer experience through AI-driven solutions. AI for Legal Technology (LegalTech) - transforming case management, document analysis, legal research, contract review, and compliance through cutting-edge More ❯

reduce costs, improve decision-making, and ultimately deliver better outcomes for businesses and individuals. Our focus lies in two key areas: AI for Insurance Technology (InsurTech) - driving automation, predictive analytics, claims management, fraud detection, and customer experience through AI-driven solutions. AI for Legal Technology (LegalTech) - transforming case management, document analysis, legal research, contract review, and compliance through cutting-edge More ❯

meetings, industry events, and marketing initiatives. Establishing thought leadership , writing blogs, publishing articles, and presenting at external events. What you'll need to succeed Expertise in data warehousing, cloud analytics, and modern data architectures (Snowflake, Databricks, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders , providing strategic guidance and technical leadership. Strong consulting and client More ❯

and business objectives. You will guide and develop a high-performing team, driven with context of emerging threats and strategic objectives. Ensure Threat Intelligence, Proactive Security Testing, and Security Analytics functions develop under your leadership to deliver maximum context into the operational team, as well as enabling real-time risk validation and actionable security insights. Continue delivering automation and detection More ❯

with ideas and technology. We seek creative collaborators who adapt and thrive in a fast-paced global environment. As a Marquee Sales Strategist, you will design models to generate analytics for Goldman Sachs, aiding in better client service. You will work closely with Traders, Salespeople, and Strats across asset classes to produce insights that promote platform adoption and deliver relevant More ❯

new skills are essential to thrive in our fast-paced multi-disciplinary environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g. natural language processing, information retrieval, machine learning or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept/ More ❯

AWS/GCP) Strong SQL and Python skills for building and managing data workflows A knack for turning raw data into usable, impactful insights and visualizations Passion for games, analytics, and building cool stuff with data Very Independent and self-reliant Company Summary Please note that recruitment and work assignments will be handled by Aristocrat, however, this role will be More ❯

AWS/GCP) Strong SQL and Python skills for building and managing data workflows A knack for turning raw data into usable, impactful insights and visualizations Passion for games, analytics, and building cool stuff with data Very Independent and self-reliant Company Summary Please note that recruitment and work assignments will be handled by Aristocrat, however, this role will be More ❯

proficiency in analytical abilities, deep knowledge of business intelligence solutions, and the ability to work with technology and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate More ❯

represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through More ❯

and support implementation. Analyzing geo-spatial logistics and transaction data to identify user behavior or process issues, and providing analysis reports with recommendations. Serving as a liaison between planning, analytics, and operations teams to provide actionable insights and support investigations into performance and improvements. Developing queries and visualizations for ad-hoc requests and ongoing reporting. PODSTAWOWE KWALIFIKACJE - Experience analyzing data More ❯

to communicate complex technical problems in simple plain stories. - Ability to present information professionally & concisely with supporting data. PREFERRED QUALIFICATIONS - 2+ years' experience with E-Commerce, Retail and Business Analytics would be an advantage - Basic knowledge of SQL - Basic knowledge of Python Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

into brand and digital roadmap planning, helping product and digital brand teams build strategies rooted in commercial viability. - Maintain clear insight into trading and digital performance, including customer behaviour analytics, channel performance (e.g. D2C, marketplaces), and competitor landscape shifts. - Develop robust business cases for technology investments, including platforms, tools, digital innovation, and marketing tech - ensuring returns meet both consumer impact More ❯

for both technical and non-technical audiences. Manage and exploit internal and external data sets, ensuring integrity and value in data-driven operations. Qualifications Experience in pattern recognition, predictive analytics, Kalman filtering, statistical fitting, machine learning, mathematical modeling, and simulations. Proficiency in software development with one or more modern, general-purpose programming languages (Java, Python, C/C#/C++ More ❯

in IC product engineering, with a focus on optoelectronic devices or SPADs. Hands-on experience with ATE and bench-level debugging tools and methods. Experience in yield monitoring, data analytics, and production ramp support. In-depth understanding of automotive qualification processes, including AEC-Q100. Familiarity with SPAD technologies and their application in LIDAR or imaging systems is highly desirable. Proficient More ❯

renewable energy sector. Our vision is to build a more efficient future by becoming the world's most innovative provider of predictive technology solutions. Our advanced sensing, software and analytics combined with our engineering experience are deployed on wind turbines around the world to maximise production and make turbines more reliable for longer, optimising energy production. ONYX Insight is part More ❯

driven build automation tools that leverage machine learning algorithms to optimize and predict release pipeline cycles, enhancing efficiency and accuracy across the CI/CD process. Experience with predictive analytics for CI/CD , enabling proactive identification of potential bottlenecks or failures in the release pipeline to minimize delays and ensure smoother deployments. Knowledge of AI-enhanced release strategies , utilizing More ❯

development. Familiarity with Docker, Kubernetes, and serverless platforms. Experience with messaging systems and distributed architectures. Knowledge of Entity Framework, Cosmos DB, MongoDB or Cassandra. Experience with GitHub Copilot, data analytics, and pair/mob programming. Locations & Flexibility: This role can be based at any of the following offices, with 2 days per week onsite : Glasgow London Manchester Leeds Carbon60, Lorien More ❯

technical teams Desirable (But Not Essential) NHS or public health experience may be considered only if core skills and transformation background align Knowledge of Microsoft Fabric or cloud-based analytics environments Experience with Tableau or other BI tools Understanding of flow accounting or cost-to-serve modelling Location: Southeast England/Hybrid (2-3 days onsite per week) Contract: Until More ❯

development. Familiarity with Docker, Kubernetes, and serverless platforms. Experience with messaging systems and distributed architectures. Knowledge of Entity Framework, Cosmos DB, MongoDB or Cassandra. Experience with GitHub Copilot, data analytics, and pair/mob programming. Locations & Flexibility: This role can be based at any of the following offices, with 2 days per week onsite : Glasgow London Manchester Leeds Carbon60, Lorien More ❯

Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other data products Solid experience on understanding, questioning, prioritizing and translating business problems into data solutions (BI, Analytics, deterministic and statistical models, machine learning) Solid experience with Cloud (Azure or AWS) Experience on identifying, gathering and prioritizing Non Functional Requirements, Technical pain points and environment/client constraints More ❯