251 to 275 of 2,009 Remote Analytics Jobs

Analytics Manager 📍 London (Hybrid - 2 days in office, Tuesdays required) 💰 Up to £90,000 base salary An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence … institutions use housing market data to drive smarter lending decisions. Key Responsibilities Team Leadership : Mentor and support 2-3 analysts; oversee workload and ensure high-quality output Client-Facing Analytics : Present insights directly to clients, translating complex data into strategic value Cross-Functional Collaboration : Work with product, commercial, and presales teams to develop tailored solutions Strategic Thinking : Stay ahead of … market trends and customer challenges to guide analytics direction Project Delivery : Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines Innovation Support : Help evolve the product set through insight-led thinking across financial services use cases What We're Looking For 5-7 years' experience in analytics, ideally within financial services, credit risk, mortgages, or More ❯

products , predictive modelling, and complex workflows—but not responsible for architectural decisions. Requirements: 5–10 years’ experience, with 3+ years in Data Engineering or Data Science Strong data and analytics background, comfortable discussing ML workflows and data pipelines Experience managing large-scale data platforms and high-volume pipelines Prior experience in product companies (SaaS, digital, or consumer tech) Understanding of More ❯

Scala (essential) Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure Data Lake Storage Gen2, Azure Data Factory, and Azure Synapse Analytics Proficiency in SQL and Python for data transformation and pipeline logic Please note: you will be working in a US time zone. Please contract/01676545407 to discuss in more More ❯

a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for More ❯

tools; maintain Dataverse data structures; ensure GDPR and security compliance. User Engagement & Support: Gather user requirements, conduct testing, provide training, and offer ongoing support. Reporting & Insights: Support dashboards and analytics using Power BI; help track KPIs and improve data processes. Essential Experience: Proven Dynamics 365 CE development and maintenance Strong Power Platform skills (Power Apps, Power Automate) Dataverse, custom entities More ❯

competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions. The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how More ❯

edge, mission-critical programmes in a highly collaborative technical environment, this is an excellent opportunity. What You’ll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end More ❯

They are considering Data Engineers at all levels from Junior up to Principal Data Engineer. What You’ll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end More ❯

ML initiatives already in the pipeline Key Responsibilities Design, test, and deploy robust data pipelines for ingestion, transformation, and integration Build out scalable lakehouse architecture with Databricks Partner with analytics and business teams to deliver fit-for-purpose datasets Productionise algorithms into reporting systems Implement data quality and validation frameworks Create and maintain clear technical documentation Shape best practices and More ❯

ML initiatives already in the pipeline Key Responsibilities Design, test, and deploy robust data pipelines for ingestion, transformation, and integration Build out scalable lakehouse architecture with Databricks Partner with analytics and business teams to deliver fit-for-purpose datasets Productionise algorithms into reporting systems Implement data quality and validation frameworks Create and maintain clear technical documentation Shape best practices and More ❯

and external stakeholders, offering sound recommendations. Highly organized and capable of managing multiple priorities simultaneously. Experience with regulatory reporting platforms such as Suade is advantageous. Familiarity with data and analytics tools including Alteryx, Power BI, Python, and advanced Excel is preferred. Risk & Conduct Responsibilities: Accountable for identifying and escalating operational risk events in line with internal policies. Expected to uphold More ❯

contracts Degree or equivalent experience in a relevant discipline MSP Practitioner or equivalent, plus certifications in Agile methodologies In-depth understanding of digital technologies (e.g. cloud, AI, IoT, data analytics) Strong analytical, strategic thinking, and communication skills Proficiency in project management tools (e.g. Jira, Asana, MS Project, DevOps) Full valid UK driving licence Public Sector Experience is essential More ❯

contracts · Degree or equivalent experience in a relevant discipline · MSP Practitioner or equivalent, plus certifications in Agile methodologies · In-depth understanding of digital technologies (e.g. cloud, AI, IoT, data analytics) · Strong analytical, strategic thinking, and communication skills · Proficiency in project management tools (e.g. Jira, Asana, MS Project, DevOps) · Full valid UK driving licence * Public Sector Experience is essential More ❯

accuracy * Proficiency in project management tools (e.g., Jira, DevOPs, Asana) and business analysis tools (e.g., Visio, Miro, Confluence) * Experience with software development methodologies (e.g., Waterfall, Agile) * Understanding of data analytics and visualisation tools is a plus * Experience/understanding of Data Mapping * Comfortable presenting ideas to stakeholders * Experience of working alongside/in development teams * Experience of retail ecommerce is More ❯

success in post, with excellent communication skills presenting to C-suite and translating technical to business value. * Certifications such as Azure Solutions Architect Expert, TOGAF, M365 Enterprise Administrator, Fabric Analytics Engineer etc would be highly desirable. If you feel you have the qualities we are seeking, please forward your CV and covering letter indicating your current package to Lee Rankin More ❯

success in post, with excellent communication skills presenting to C-suite and translating technical to business value. * Certifications such as Azure Solutions Architect Expert, TOGAF, M365 Enterprise Administrator, Fabric Analytics Engineer etc would be highly desirable. If you feel you have the qualities we are seeking, please forward your CV and covering letter indicating your current package to Lee Rankin More ❯

our other systems, ensuring seamless data flow Own and enhance data governance, compliance auditing, and reporting frameworks to support decision-making Collaborate cross-functionally to support workforce planning, talent analytics, and digital transformation initiatives What you need to succeed at GXO: Proven expertise in SuccessFactors (configuration, troubleshooting etc) Expertise in system integrations and HRIS project management, with advanced proficiency in More ❯

for online product launches and web merchandising excellence. The Role: As Senior Web Trading & Merchandising Manager, you will: Drive online sales performance across the UK and Ireland websites. Use analytics to evaluate and optimise product performance, ensuring top-converting items are prioritised while balancing online and in-store activity. Lead initiatives to boost Average Order Value (AOV) and Items Per More ❯

to best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background More ❯

to best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background More ❯

. ?? Hands-on experience writing user stories, defining epics, and managing backlogs using JIRA or similar Agile tools. ?? Strong working knowledge of ERP (SAP/Oracle), MES, WMS, and analytics tools such as Power BI, Tableau, and Excel. ?? Familiarity with automation, manufacturing operations, and supply chain planning. ?? Exposure to Agile, Lean, or Six Sigma methodologies is a plus. Randstad Technologies More ❯

to best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background More ❯

quality, observability, and governance, while helping shape a platform-as-a-product mindset. Key responsibilities include: Building and maintaining data infrastructure: Develop microservices, pipelines, and backend systems that power analytics and machine learning initiatives. Driving platform evolution: Design and implement scalable, secure, and efficient data services using tools such as Terraform, Docker, and AWS. Data governance and observability: Introduce and More ❯

quality, observability, and governance, while helping shape a platform-as-a-product mindset. Key responsibilities include: Building and maintaining data infrastructure: Develop microservices, pipelines, and backend systems that power analytics and machine learning initiatives. Driving platform evolution: Design and implement scalable, secure, and efficient data services using tools such as Terraform, Docker, and AWS. Data governance and observability: Introduce and More ❯

a fast-growing technology business developing innovative environmental sensor and data systems that help utilities and governments monitor and improve water quality. Their solutions span hardware, software, and data analytics, enabling real-time insights that support cleaner, safer, and more sustainable water systems. They’re known for turning cutting-edge research into real-world impact, combining science, engineering, and data More ❯