101 to 125 of 2,063 Remote Analytics Jobs

LOVE using Data Analytics & AI to improve organisational performance, apply now! Lead the Data Analytics team for this large business in Digital Transformation About Our Client This is a well-established public sector organisation based in London, known for its vital role in serving the community. The organisation operates at a significant scale, leveraging data and technology to improve outcomes … and efficiency. Job Description The key responsibilities in the role are to: Lead the design, development and continual improvement of the analytics products, with a focus on Oracle Analytics Cloud (OAC)/Oracle Fusion Data Intelligence. Own the product roadmap for analytics, AI and Machine Learning aligning with the Head of Product and peers in Finance, HR, Logistics, Operations and … Present technical and strategic proposals to the Head of Product, outlining value, feasibility and cost-benefit cases. Drive data literacy across teams and develop reusable frameworks and patterns for analytics delivery. Drive an increase in productivity, better decision-making, improved customer experiences, and reduced operational costs. The Successful Applicant A successful Head of Analytics & AI will be able to evidence More ❯

Opportunity to Lead & shape the analytics governance framework. You'll with senior stakeholders across different regions enhancing your career. About Our Client Data Governance Manager - Analytics - London The client is a global financial services organisation with a strong presence in Europe, committed to delivering innovative and sustainable solutions. They value inclusivity and collaboration, offering opportunities to work on meaningful projects … in a dynamic and supportive environment. Job Description Data Governance Manager - Analytics - London Key Responsibilities: Be the go-to expert on analytics governance standards. Build and establish a framework for analytics governance in line with data management practices. Train and mentor others in analytics governance. Identify and catalogue key data outputs across the business. Work with data owners to review … improvements. Support colleagues in understanding and measuring their key metrics. Ensure compliance with BCBS239 and other data regulations. Engage with colleagues at all levels to get buy-in for analytics governance. Continuously review and improve how analytics governance is implemented. The Successful Applicant Data Governance Manager - Analytics - London Skills and Experience Essential: Experience in setting up analytics governance or EUC More ❯

decision-making. Present insights clearly to both technical and non-technical audiences. Essential Skills Proven experience with Oracle Database and PL/SQL . Strong background in data science , analytics , or performance analysis . Experience working with NHS data or within NHS programmes. Proficiency in data visualisation tools (e.g., Power BI, Tableau, or similar). Excellent communication and stakeholder engagement More ❯

Experience Technical Skills Advanced SQL proficiency. Experience with SQL Server and Snowflake . Knowledge of Master Data Services (MDS) and AWS architecture . Familiarity with Power BI or other analytics tools. Solid understanding of data warehousing concepts. Business Skills Strong finance experience Insurance sector experience (preferred). Proven ability to gather and translate business requirements into technical solutions. Excellent stakeholder More ❯

to £70,000 About the Role A growing player in the ESG space is looking for a Data Scientist, with experience in the risk space, to shape and deliver analytics capabilities for their risk and ESG-focused product. This is a chance to join a data-led business with an abundance of unique internal datasets and real appetite to explore More ❯

compliance systems for Marketing IM Develop tools for real-time dashboards, scenario analysis, and risk monitoring (market, credit, operational) Build and maintain APIs, data pipelines, and automation for risk analytics and reporting Implement scalable solutions to monitor risks across inventories, derivatives, FX, and counterparty credit Enhance and integrate commercial off-the-shelf (COTS) risk platforms Collaborate with risk teams to More ❯

compliance systems for Marketing IM Develop tools for real-time dashboards, scenario analysis, and risk monitoring (market, credit, operational) Build and maintain APIs, data pipelines, and automation for risk analytics and reporting Implement scalable solutions to monitor risks across inventories, derivatives, FX, and counterparty credit Enhance and integrate commercial off-the-shelf (COTS) risk platforms Collaborate with risk teams to More ❯

from a distance, but by getting hands-on, engaging stakeholders, and helping teams make better decisions with more trustworthy data. You’ll work closely with the Head of Data & Analytics and colleagues across operations, finance, and supply chain to embed governance into day-to-day processes and define what good looks like. What you’ll be doing: Map out current More ❯

from a distance, but by getting hands-on, engaging stakeholders, and helping teams make better decisions with more trustworthy data. You’ll work closely with the Head of Data & Analytics and colleagues across operations, finance, and supply chain to embed governance into day-to-day processes and define what good looks like. What you’ll be doing: Map out current More ❯

from a distance, but by getting hands-on, engaging stakeholders, and helping teams make better decisions with more trustworthy data. You’ll work closely with the Head of Data & Analytics and colleagues across operations, finance, and supply chain to embed governance into day-to-day processes and define what good looks like. What you’ll be doing: Map out current More ❯

from a distance, but by getting hands-on, engaging stakeholders, and helping teams make better decisions with more trustworthy data. You’ll work closely with the Head of Data & Analytics and colleagues across operations, finance, and supply chain to embed governance into day-to-day processes and define what good looks like. What you’ll be doing: Map out current More ❯

our team on a 6-month contract. In this role, you'll be instrumental in shaping our data infrastructure, enabling seamless data flows, and delivering actionable insights through advanced analytics and visualization. What You’ll Be Doing: Design, build, and maintain data pipelines using GCP technologies such as BigQuery, Cloud Storage, and Cloud Dataflow Develop insightful dashboards and reports in More ❯

our team on a 6-month contract. In this role, you'll be instrumental in shaping our data infrastructure, enabling seamless data flows, and delivering actionable insights through advanced analytics and visualization. What You’ll Be Doing: Design, build, and maintain data pipelines using GCP technologies such as BigQuery, Cloud Storage, and Cloud Dataflow Develop insightful dashboards and reports in More ❯

data flows Support system enhancements including configuration, user access, troubleshooting, and performance monitoring Lead UAT and training for new HR tech rollouts and global initiatives Drive continuous improvement through analytics, KPIs, and stakeholder feedback What you need to succeed at GXO: HRIS experience with platforms such as SAP SuccessFactors, Oracle HCM, and ServiceNow Strong data skills using Power BI, Power More ❯

and continuous improvement. The RoleAs a Data Architect, you will: Define and implement enterprise data architecture strategies and standards. Design robust data models and pipelines to support business intelligence, analytics, and operational systems. Collaborate with cross-functional teams to ensure data integrity, quality, and governance. Evaluate and integrate emerging technologies to enhance data capabilities. Lead data architecture reviews and provide More ❯

and continuous improvement. The RoleAs a Data Architect, you will: Define and implement enterprise data architecture strategies and standards. Design robust data models and pipelines to support business intelligence, analytics, and operational systems. Collaborate with cross-functional teams to ensure data integrity, quality, and governance. Evaluate and integrate emerging technologies to enhance data capabilities. Lead data architecture reviews and provide More ❯

of navigating AI best practices within an Azure Data Engineering environment. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong portfolio of successful projects. Implement and deploy AI models into production environments. Monitor and evaluate the performance of AI models and make necessary adjustments. Provide training and More ❯

conducting backlog refinement, monitor ready stories vs. velocity Manage product backlog in ALM tools such as Jira, Azure DevOps, etc. Qualifications Bachelors degree in software engineering, computer science, data analytics or a related field 1 - 3 years of experience working as a business analyst, product owner or similar role Highly motivated self-starter with a desire to help others, act More ❯

models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial modeling. Leadership, consulting, and communication skills. Characteristics Trusted advisor with strong influence skills. Innovative thinker with situational awareness. More ❯

and you can be a key part of this move. THE OPPORTUNITY In this role of Data Engineer, youll ensure data is efficiently collected, transformed, and made available for analytics and decision-making across the business. To do this role, youll: Liaise with the business to understand data requirements and define data needs. Identify the data then design and maintain More ❯

models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial modeling. Leadership, consulting, and communication skills. Characteristics Trusted advisor with strong influence skills. Innovative thinker with situational awareness. More ❯

models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to support these services Enhance data sources through testing external data Collaborate with team members and external partners to deliver solutions Identify opportunities where data More ❯

models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to support these services Enhance data sources through testing external data Collaborate with team members and external partners to deliver solutions Identify opportunities where data More ❯

Utilise Azure DevOps to manage workload, update tasks and develop CI/CD Pipelines for deployment into other environments What to bring Strong Proficiency in Azure Data Factory, Synapse Analytics, SQL Databases & Data Lake Gen 2 Demonstratable understanding on how to apply Medallion Architecture to an Azure Datawarehouse Advanced Knowledge around CI/CD pipelines, deployment automation, Infrastructure as Code More ❯

s well-suited to someone who enjoys turning real-world routing challenges into scalable solutions. You'll work directly in a cross-functional squad which includes Operations, Engineering, Data Analytics, and Data Science, to improve the quality of our routes and reduce the cost of delivery. You'll also play a key role in shaping our future routing strategy, working More ❯