426 to 450 of 5,531 Remote Analytics Jobs

search for areas where ML solutions could have a big impact on the business Communicate findings and insights to technical and non-technical stakeholders Support the rest of the Analytics team by building complex visualisations in Tableau This role offers the chance to make a real impact in a growing scale-up on a mission to change the face of More ❯

project management and organisational skills, with the ability to prioritise tasks and meet deadlines in a fast-paced environment. A passion for mobile gaming and an understanding of gaming analytics and user behaviour is highly desirable. Working at Tripledot 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year. Hybrid Working: We work in More ❯

the VML Data team. The Senior Analyst will analyse data to deliver value through understanding our clients’ customers and the performance of marketing activities. Working closely with the wider analytics and data team you will be responsible for the development and delivery of measurement and insight projects across various marketing activities and contribute to answering business questions, ultimately ensuring that More ❯

role perfect for a generalist who enjoys wearing many hats and thrives in a start-up environment. You will play a key role in taking the Townhouse Data and Analytics department to the next level, working closely with IT and software teams to plan and implement improvements to reporting data. Day-to-day responsibilities will cover data manipulation, presentation, and More ❯

benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance More ❯

with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent role Competitive salary Hybrid working (3 days office More ❯

truly diverse and empowered team. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Consulting and Engineering Industries Data Infrastructure and Analytics and IT System Data Services Referrals increase your chances of interviewing at NTT DATA by 2x Get notified about new Data Architect jobs in London Area, United Kingdom . London More ❯

support our front-line services, including HR, IT, Finance, Procurement, Communications etc.). LFB is seeking a highly capable Senior Business Intelligence Analyst to lead and develop our Business Analytics function within the Performance, Improvement & Business Intelligence department. This is a senior analytical role within a growing team focused on enhancing the Brigade's data capabilities and supporting better decision More ❯

with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. Full time, permanent role Hybrid working (3 office/2 home) Digicare+ Provided More ❯

SQL - Data Analysis and Customer Insight London, England, United Kingdom 1 day ago Hemel Hempstead, England, United Kingdom 1 week ago Front Office Business Analyst - Fixed Income Liquidity Data & Analytics Business Analyst Data Solutions Partner/Data Business Analyst – Investment Management (Private Markets) London, England, United Kingdom 6 days ago HCM and MIS Provisioning Technical Business Analyst London, England, United More ❯

role will be offered as an initial 12 month Fixed Term Contract. About the role Collaborate with the client success, data science and engineering teams to provide insight and analytics consulting services to clients Work directly with studio clients, their agencies and 3rd party platforms to develop and deliver research and measurement solutions leveraging Vista Group’s comprehensive moviegoer dataset More ❯

issues with the automated systems. What you will bring to the table: Expertise in data automation and workflow tools is essential. Strong skills in Alteryx for data prep and analytics, proficiency with RPA/workflow software like UiPath or Power Automate, and familiarity with databases (SQL) and programming (e.g. Python, VBA) Financial domain knowledge - understanding of Alternative Funds operations and More ❯

addition, the role will provide deep analysis (e.g. retention rates, channel performance etc.) and insights to optimise sales and marketing efforts. This role requires a strong understanding of data analytics, customer segmentation, and business intelligence tools, such as Salesforce and Tableau/Power BI. The Responsibilities Data Management & Reporting: Collect, QC, and structure CRM data from various sources, ensuring data More ❯

of meetings including with members of the executive team and you must be confident in presenting information. You will also be skilled in data visualisation, delivering insightful and impactful analytics using Tableau. You will have excellent leadership qualities, be highly motivated and will ensure tasks are delivered on time. You will be proactive and innovative in your approach to problem More ❯

responsibilities include developing standardized data schemas, ensuring data connectivity across systems, and building scalable pipelines to support accurate, real-time insights. This position requires expertise in data integration, AI analytics, and digital transformation in the built environment. Based in Toronto with flexibility for remote or hybrid work, this role supports Autodesk's hybrid-first approach. Responsibilities Lead exploration of emerging More ❯

security policies and data governance standards. Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity. Develop robust data models to support analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data-driven decision-making. More ❯

security policies and data governance standards. Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity. Develop robust data models to support analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data-driven decision-making. More ❯

Microsoft ecosystem. Education • Bachelor’s degree in Computer Science, Information Technology, or equivalent experience. Preferred Skills • Experience working in manufacturing or packaging environments is a plus. • Knowledge of advanced analytics and data visualization in Power BI. • Familiarity with Azure-based AI tools and machine learning workflows. • Understanding of Microsoft Teams and SharePoint integration capabilities. Work Environment • Fully remote, with occasional More ❯

implementing our next-generation data systems. You’ll be responsible for developing high-performance data pipelines, billing infrastructure and APIs that power our suite of products – including Reports API, Analytics API and Insights API – ensuring data is reliably processed and securely delivered to our customers. Develop & Optimize Data Pipelines: Design, build, and maintain scalable data ingestion and processing systems to More ❯

backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. AI Labs aims to bring best of class technologies, analytics, and insights to the entirety of the firm and to our clients utilizing data from a wide variety of sources including text, news feeds, financial reports, time series transactions, logs More ❯

and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and More ❯

and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and More ❯

and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and More ❯

and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and More ❯

and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and More ❯