501 to 525 of 4,404 Remote/Hybrid Analytics Jobs

care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised … models, we are establishing a dedicated Data Products Team to curate, design and evolve the data products that underpin our modelling processes, analytics outputs and client-facing systems — working within our new internal Data and Processing Platform. Come and join us to be part of the energy transition, the defining ...

DATA TEAMAs part of the MONY Group Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible … wants to build reliable data platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across MONY Group. AI-assisted engineering is an important part of the role, but we do not expect candidates ...

care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.Certified as a Great Place to Work around the world, Baringa has been recognised … models, we are establishing a dedicated Data Products Team to curate, design and evolve the data products that underpin our modelling processes, analytics outputs and client-facing systems — working within our new internal Data and Processing Platform.Come and join us to be part of the energy transition, the defining challenge ...

more strategic accounts, leading engagements that solve real business problems through technology, from bespoke software delivery and systems integration to data platforms, analytics, and AI-powered products, and will ensure that Appvia becomes a trusted, long-term strategic partner. This is a multi-faceted, post-sales role blending technical account … leadership. Identify new product/service offerings that match the client's next-phase needs (for example: AI accelerators, intelligent automation, data platform builds, analytics and ML products, application modernisation) and help position them. Lead internal lessons-learned and continuous improvement: capture what works in the account, feed improvements back ...

consolidation tools), implementation of third-party solutions (e.g. tax engines), leverage of other systems (e.g., Robotics Process Automation (RPA), machine learning, data analytics/visualization solutions), the development of bespoke solutions or the provision of managed services, and assisting more senior team members when advising clients on tax transformations … individual must have intermediate knowledge of Microsoft Office applications, Outlook, internet navigation, and research.Some experience of using business automation software, such as common data analytics/visualization tools (e.g., Tableau, QlikView, Power BI, or similar) and robotic process automation (RPA) tools (e.g., Automation Anywhere, Blue Prism, Alteryx), and data analysis ...

work across a horizontal team and collaborate with other domains like Onboarding, Fincrime, Finance, Product verticals and so on.For more information on our Analytics Career Map and levelling structure, click here.WHAT YOU’LL BE DOING:Derive actionable insights from data to inform product decisions, to help support and improve onboarding … saving costsCreative problem solving skills and an ability to prioritise in a fast-paced environment Leverage AI tools and machine learning techniques to improve analytics outcomes and discover new, critical insights.NICE TO HAVE BUT NOT ESSENTIAL:Knowledge of the FinTech ecosystemKnowledge of the Fraud and Authentication spaceFor everyone, everywhere. ...

decision-making across the business. Design and implement effective data architecture, modelling and master data solutions that create a single, reliable foundation for reporting, analytics and customer insight. Enable seamless data flow across systems through modern integration approaches, helping the organisation unlock greater value from its data and improve operational … strong background in data architecture, data modelling, data mapping and master data management, with the ability to design scalable solutions that support reporting, analytics and future business growth. Extensive experience building and enhancing enterprise data platforms, such as data lakes, data hubs and operational data stores, ideally within cloud environments ...

decision-making across the business. Design and implement effective data architecture, modelling and master data solutions that create a single, reliable foundation for reporting, analytics and customer insight. Enable seamless data flow across systems through modern integration approaches, helping the organisation unlock greater value from its data and improve operational … strong background in data architecture, data modelling, data mapping and master data management, with the ability to design scalable solutions that support reporting, analytics and future business growth. Extensive experience building and enhancing enterprise data platforms, such as data lakes, data hubs and operational data stores, ideally within cloud environments ...

products and services. Working alongside Platform, Data and Product teams, you'll help deliver scalable, secure and high-performance data solutions that enable analytics, machine learning and AI across the business. If you enjoy solving complex technical challenges, working with modern cloud technologies and building robust data platforms at scale … data pipelines using Databricks, Spark and Delta Lake. Contribute to platform architecture, engineering standards and best practices across the data estate. Collaborate with Product, Analytics and Data Science teams to deliver solutions that solve real business problems. Support platform operations, monitoring and optimisation to ensure high levels of performance ...

data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver … solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with ...

achieving good outcomes for consumers; and to comply with the FCA and PRA's Conduct Rules. Key Responsibilities:The development of data ingest, transformation, analytics, and data publishing pipelines, facilitating complex data transformations to meet business requirements, ensuring optimal performance and efficiency of the data platform.Support for the live platform … testing, including automated testing, data validation and code assuranceDemonstrable experience of working within Agile Delivery projectsAn understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information securityDesirable:Financial services experienceAwareness of data models in a Medalion ArchitectureExperience building Semantic, Metric ...

performance, SLA adherence and delivery progress to both leadership and key stakeholders.You’ll need to have:Strong experience operating and supporting AI or advanced analytics platforms in a production environment.Proven experience managing AI security and governance in a production environment, including access controls, data privacy and responsible AI practices.Proven experience … without direct line management authority.Significant experience (typically 5+ years) operating technology platforms or services within medium to large enterprises.2+ years’ experience in AI advanced analytics or software platform operations (or equivalent experience) in a production environment.Proven experience coordinating remote, offshore delivery teams as part of a technology operations role.Experience transitioning ...

performance, SLA adherence and delivery progress to both leadership and key stakeholders.You’ll need to have:Strong experience operating and supporting AI or advanced analytics platforms in a production environment.Proven experience managing AI security and governance in a production environment, including access controls, data privacy and responsible AI practices.Proven experience … without direct line management authority.Significant experience (typically 5+ years) operating technology platforms or services within medium to large enterprises.2+ years’ experience in AI advanced analytics or software platform operations (or equivalent experience) in a production environment.Proven experience coordinating remote, offshore delivery teams as part of a technology operations role.Experience transitioning ...

ensuring accuracy, governance and alignment with People processes. Guide and direct junior analysts, delegating routine transactions and non‐complex configuration updates. - Create advanced dashboards, analytics and data models to support insights and decision‐making across the business. Develop and maintain reporting frameworks, ensuring data integrity, automation and insight generation. Support … releases, testing cycles and continuous improvement activity to ensure system stability and accuracy. Stay up to date on technology capability, people analytics trends, and emerging data technologies. Design and deliver approved AI-enabled people solutions, service enhancements, embedding automation, generative AI tools, and workflow optimisation in accordance with the Bank ...

portfolio of AI opportunities and recommended initiatives. Serve as the organization's thought leader on AI applications within Revenue Operations and sales. Strategic Analytics & Value Realization Build measurement frameworks that quantify the impact of AI initiatives. Define productivity, efficiency, adoption, and revenue performance metrics. Deliver executive-level insights and recommendations … Operations, Consulting, or Analytics. Demonstrated experience leading large-scale operational improvement or technology transformation initiatives. Experience evaluating, implementing, or supporting AI, automation, or advanced analytics solutions. Strong understanding of B2B sales processes, forecasting, pipeline management, CRM optimization, and seller productivity. Technical Skills Advanced Salesforce CRM knowledge. Strong analytical and modelling ...

data. You will be expected to: Design, implement and maintain Azure Data Lake Storage solutions that effectively store and manage data for enterprise-level analytics Collaborate cross-functionally to integrate Azure Synapse into our data ecosystem, enabling efficient data processing and analytics Develop and maintain robust data pipelines to Extract ...

data. You will be expected to: Design, implement and maintain Azure Data Lake Storage solutions that effectively store and manage data for enterprise-level analytics Collaborate cross-functionally to integrate Azure Synapse into our data ecosystem, enabling efficient data processing and analytics Develop and maintain robust data pipelines to Extract ...

role is part of the risk management team but also interacts with GTIL technology and member firms. The analyst supports reliable reporting, problem solving, analytics, regulatory compliance, and decision‐making. This role needs to have an understanding of data pertaining to the risk management function. Key attributes will include: Data … Work to prioritize and resolve data quality issues Translate technical issues into business-impact language Provide advisory support on data quality impacts to reporting, analytics, and decision-making Support organizations and perform documentation and training requests Reporting & Documentation Develop and maintain data quality reports, issue logs, and remediation status updates ...

secure data systems, while supporting the wider team through knowledge sharing and collaboration. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable. While this role doesn't involve line management, you'll be expected to contribute … Design, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems. Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases. Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs. Collaboration ...

About the Role: Our client, a growing business based in Reading, is looking for a Business Intelligence Analyst to join their data and analytics team. You'll be responsible for building and maintaining reporting solutions that give the business clear visibility over performance, working closely with stakeholders across departments ...

Umbrella/Mostly Remote Initially for 6 months Leading Southwest based company is looking to bring in 3x Data Engineers to join the Data & Analytics team and help deliver a mix of strategic initiatives and business-critical priorities. Working within a cross-functional product squad, you'll partner with engineers ...

issues in a timely and efficient mannerOversee and support data cleansing, enrichment, and standardisation initiatives, ensuring data is optimally prepared for use in advanced analytics and AI applicationsImplement preventative measures to minimise future data quality defects, particularly those that could compromise the integrity or ethical use of AI systemsMonitoring & Reporting … embedded into new system implementations, data migrations, and digital transformation projects from the outsetSupport the provision of high-quality, trusted data for advanced analytics, reporting, and especially for the training, fine-tuning, and operational use of Generative AI and Agentic AI modelsConnect to your skills and professional experience Essentials:Proven ...

issues in a timely and efficient mannerOversee and support data cleansing, enrichment, and standardisation initiatives, ensuring data is optimally prepared for use in advanced analytics and AI applicationsImplement preventative measures to minimise future data quality defects, particularly those that could compromise the integrity or ethical use of AI systemsMonitoring & Reporting … embedded into new system implementations, data migrations, and digital transformation projects from the outsetSupport the provision of high-quality, trusted data for advanced analytics, reporting, and especially for the training, fine-tuning, and operational use of Generative AI and Agentic AI modelsConnect to your skills and professional experience Essentials:Proven ...

issues in a timely and efficient mannerOversee and support data cleansing, enrichment, and standardisation initiatives, ensuring data is optimally prepared for use in advanced analytics and AI applicationsImplement preventative measures to minimise future data quality defects, particularly those that could compromise the integrity or ethical use of AI systemsMonitoring & Reporting … embedded into new system implementations, data migrations, and digital transformation projects from the outsetSupport the provision of high-quality, trusted data for advanced analytics, reporting, and especially for the training, fine-tuning, and operational use of Generative AI and Agentic AI modelsConnect to your skills and professional experience Essentials:Proven ...

issues in a timely and efficient mannerOversee and support data cleansing, enrichment, and standardisation initiatives, ensuring data is optimally prepared for use in advanced analytics and AI applicationsImplement preventative measures to minimise future data quality defects, particularly those that could compromise the integrity or ethical use of AI systemsMonitoring & Reporting … embedded into new system implementations, data migrations, and digital transformation projects from the outsetSupport the provision of high-quality, trusted data for advanced analytics, reporting, and especially for the training, fine-tuning, and operational use of Generative AI and Agentic AI modelsConnect to your skills and professional experience Essentials:Proven ...