276 to 300 of 2,491 Remote Analytics Jobs

documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research … expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured … Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis More ❯

documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research … expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured … Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis More ❯

shape media investment decisions by identifying clear, measurable value, and confidently engaging with senior stakeholders to influence direction. ABOUT YOU You will ideally bring significant experience in digital media analytics, with a proven ability to generate actionable insight and tell compelling stories through data. You have a strong understanding of audience planning, media strategy development, and channel optimisation across both … at all levels, and excel at turning complex analytical outputs into clear, strategic guidance that drives performance. ABOUT YOUR EXPERIENCE 3-5+ years of experience in a marketing analytics role, with a proven track record of delivering actionable insights across media, marketing, and customer behaviour Strong technical proficiency in SQL and Excel (including pivot tables, lookups, and advanced formulas … D LOVE IF YOU ALSO HAVE Experience with econometric modelling and forecasting techniques, and a strong interest in developing deeper expertise in media mix modelling (MMM) and other advanced analytics approaches A mentoring mindset, with a willingness to support junior team members and share knowledge to elevate analytical capability across the agency Exposure to Google and Meta ad platforms (e.g. More ❯

will have knowledge and previous experience in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills. What … We Look For Previousexperience in data science, with proven experience in Generative AI and LLM development and evaluation. Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience (if available) Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models More ❯

5G, etc.) and identify opportunities to adopt and test new technologies. Architecture & Systems Integration Architect connected systems that link our kinetic and solar hardware with backend infrastructure and data analytics platforms. Design and oversee edge and cloud infrastructure for real-time and asynchronous data processing. Ensure scalable, secure, and robust system design that supports our ambitions globally. Software, Data & AI … Lead software development efforts—from firmware and scripting to platform development and UX/UI integration. Shape our data strategy: from sensor collection, cleansing, and ingestion, to analytics, visualisation, and client reporting. Explore and implement AI/ML capabilities and predictive analytics to provide deeper insights and value to customers. Leadership & Delivery Build and lead a high-performing technical team More ❯

positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Data Analytics & Computational Sciences Job Sub Function: Clinical Data Management Job Category: Professional All Job Posting Locations: High Wycombe, Buckinghamshire, United Kingdom Job Description: Senior Analytical Monitor x 3/High Wycombe … life while championing patients every step of the way. Learn more at We are searching for the best talent for Senior Analytical Monitors x 3 in our Integrated Data Analytics and Reporting (IDAR) business - experienced individual contributors with strong knowledge of site monitoring and Analytical Risk Based Monitoring (ARBM) practices, data analytics, methods, processes, and technologies. The head office location … is in High Wycombe, Buckinghamshire, UK, and these positions are hybrid (3 days onsite weekly), supporting our EMEA team. Empowered by technology, optimized processes and targeted data analytics, Analytical Monitors will enable Site Managers to dedicate a greater proportion of their time for meaningful engagement with sites, driving improved performance, data reliability and site satisfaction. The Senior Analytical Monitor is More ❯

opportunities for staff to develop personally and professionally. As a Trust we are determined to be at the forefront of change, using tools such as machine learning and predictive analytics in the next stages of our journey. We offer hybrid working arrangements following a qualifying period, providing flexibility alongside this impactful role with a friendly and supportive team. This job … duties of the job The position available is a Divisional Information Manager in the Medicine & Urgent Care Analytical Team . The team provides accurate, concise and clear information and analytics to the division to support its strategic objectives. The ideal candidate will have strong analytical capabilities, along with the ability to effectively communicate and present complex information to a range … pressure, and manage conflicting priorities for the team. See the attached job description for further information. About us Our multi-award winning BI Team aim to use data and analytics to make a real difference to the healthcare of the Gloucestershire population. Gloucestershire Hospitals is dedicated to nurturing the growth and potential of its staff. Within the BI team, regular More ❯

lead our Data Science Team within the Performance Improvement & Business Intelligence section of the Corporate Services Directorate. As the Senior Data Scientist, you'll drive the use of advanced analytics, forecasting, and AI to support strategic decision-making across the Brigade. You will lead a team of data professionals delivering impactful, technically robust solutions to some of the most complex … and confidence across LFB. This post plays a critical part in ensuring we maximise the value of our data and maintain our position at the forefront of public sector analytics innovation. This role requires in-person attendance at LFB Headquarters or on-site at fire stations at least two days per week. Further information about the main duties and responsibilities … to-date CV and provide evidence to address the following selection criteria: 1. Demonstrable experience of working within a large, complex organisation in a data science or complex data analytics function. 2. Significant experience using advanced programming languages (either Python or R) and Power BI to undertake complex organisational analysis (e.g. modelling, forecasting). 3. Experience of extracting business value More ❯

You will play a key role in embedding data engineering best practices, supporting colleagues across the data community, and ensuring the delivery of impactful, reusable data assets that power analytics, machine learning, and operational efficiencies. Key Responsibilities: Design, develop and maintain data pipelines and data assets within an AWS-based data lake architecture (S3, Glue, Lake Formation). Act as … Strong experience working within AWS environments specifically S3, Glue, Lambda, GitHub, and Terraform. Understanding of data governance, lineage tools, and cloud-based data architectures. Skilled in a range of analytics and BI tools (e.g., SQL, Alteryx, Power BI, Tableau, AWS SageMaker, QuickSight). Strong documentation, communication, and stakeholder management skills. Adept at managing multiple priorities in a fast-paced environment More ❯

driven decision-making processes, thanks to your advanced expertise in Power BI and transforming complex data into actionable insights. You will provide critical support for ESA's Industrial Policy, Analytics, and Geographical Return initiatives. What you will do Develop and maintain insightful and visually compelling reports and dashboards using Power BI to track KPIs and business trends. Lead the end … consistency. Define and monitor KPIs to measure the effectiveness of ESA's initiatives and identify areas for improvement. Dive deep into ESA's business challenges related to Industrial Policy, Analytics, and Geographical Return, providing data-driven recommendations. Translate business requirements into technical specifications, ensuring seamless implementation and alignment with ESA's objectives. Ensure continuous communication with client stakeholders to plan More ❯

to support the modernisation of multi-channel contact centre operations, workforce management, and reporting capabilities. The role requires a deep understanding of telephony, CRM systems, workflow automation, and performance analytics, ensuring business needs are translated into effective, scalable solutions. Key Responsibilities Multi-channel contact centre and workforce management• Define and document detailed requirements for multi-channel customer interaction platforms, including … technologies and automated transcription systems. Performance metrics Success in this role will be measured by:• Operational efficiencies, ensuring smoother workflows and improved system integrations.• Data-driven decision-making, leveraging analytics to enhance performance and resource management.• Process improvements, driving automation and optimising customer interaction handling.You may also have experience in the following: Business Analyst, BA, Data Analyst, Business Analysis, Data More ❯

science, statistics or machine learning. Working experience can be considered in lieu of a degree. Five years or more of relevant experience in supporting the operational feasibility, design, and analytics of clinical trial operations. Experience working at a Clinical Research Organization or Pharmaceutical company conducting study feasibility, site selection analytics and study performance analytics. A thorough understanding of clinical trial More ❯

In this role, youll lead cutting-edge data engineering efforts that will enable strategic decision-making, enhance operational efficiency, and support the deployment of AI, machine learning, and advanced analytics across the organisation. We are looking for a hands-on, highly skilled individual who can set direction and bring technical leadership to a growing team. You'll be managing a … S3, Glue, Lambda, and Lake Formation. Proficiency in Terraform, GitHub, and VS Code for pipeline deployment. Proven leadership in developing high-performing data teams. Strong SQL and familiarity with analytics tools such as Alteryx, AWS Athena, Quicksight, Sagemaker, Tableau, and Power BI. Excellent communication and stakeholder management skills. Ability to write clear technical documentation and define user stories with appropriate More ❯

Azure) for data processing workloads, with a focus on cost-effectiveness. Implement and maintain CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Develop and optimize large-scale data processing pipelines using Apache Spark and PySpark. Implement data partitioning, caching, and performance tuning techniques to enhance Spark-based workloads. Work with diverse data … formats (structured and unstructured) to support advanced analytics and machine learning initiatives. Workflow Orchestration (Airflow): Design and maintain DAGs (Directed Acyclic Graphs) in Apache Airflow to automate complex data workflows. Monitor, troubleshoot, and optimize job execution and dependencies within Airflow. Team Leadership & Collaboration: Provide technical guidance and mentorship to a team of data engineers in India. Foster a collaborative environment More ❯

SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond. What will make you stand out: Experience working in an analytics More ❯

simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. We are currently seeking an experienced individual to join Reporting & Analytics in the role of Lead Data Analyst. The Lead Data Analyst is responsible for exploring, designing & implementing reporting & analytic solutions. This role has a broad remit which covers multiple brands … applications, data models, ETL pipelines and provide insight on customer satisfaction. Curious and explore HSBC tooling & Data to improve reporting & insight capabilities. Collaborative across HSBC UK and the wider Analytics Community to leverage the right tooling and data to provide actionable insights. Innovative and creative with data utilising statistical methods to analyse and story tell. Experience & Knowledge Experience in Microsoft More ❯

and develop automation workflows using Azure DevOps for streamlined provisioning and management. * Monitor and optimize the performance, health, and availability of Azure resources using tools like Azure Monitor, Log Analytics, and Application Insights, while implementing automated scaling and recovery mechanisms. * Enhance and maintain CI/CD pipelines within Azure DevOps to support seamless application deployments and integrations across development teams. … like Bicep or ARM templates. * Hands-on experience with Azure DevOps for CI/CD pipelines and workflow automation. * Familiarity with Azure monitoring tools, such as Azure Monitor, Log Analytics, and Application Insights. * Knowledge of cloud cost management tools, including Azure Cost Management and Azure Advisor. * Scripting experience with PowerShell, Python, or Bash for task automation. * Knowledge of relevant security More ❯

and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled … is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of More ❯

and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled … is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of More ❯

bonus) Experience required: 5+ years' experience as a Data Engineer/Developer Strong command of SQL and modern data modelling principles Experience building data platforms on Azure Passion for analytics, data automation, and empowering the business with clean, reliable data Energy/utilities industry experience is required Confident communicator who enjoys collaborating with cross-functional teams and mentoring others The More ❯

bonus) Experience required: 5+ years' experience as a Data Engineer/Developer Strong command of SQL and modern data modelling principles Experience building data platforms on Azure Passion for analytics, data automation, and empowering the business with clean, reliable data Energy/utilities industry experience is required Confident communicator who enjoys collaborating with cross-functional teams and mentoring others The More ❯

Stay updated with the latest Power BI features and SQL best practices. Document solutions and provide user training and support where necessary. Requirements: A degree in Computer Science, Data Analytics, Information Systems, or a related field is desirable. Advanced proficiency in Power BI, including Power Query (M), DAX and custom visual development. Proven expertise in SQL, including complex joins and More ❯

leadership. Proven experience as an Azure Data Architect or Lead Data Engineer. Expertise in Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult, advise, architect More ❯

and/or master's degree in computer science or equivalent. You have 2 to 5 years of experience with different data consumption techniques from traditional to more advanced analytics and AI perspective. (Power BI, Tableau, Machine Learning, ) Power BI means more to you than shiny graphs (and pie charts). You are eager to dive into platforms like Azure More ❯

and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a More ❯