426 to 450 of 2,037 Analytics Jobs in London

Digital Analytics Analyst Up to £50,000 + Bonus London - Hybrid (2 days p/week in Elephant & Castle) Adobe Analytics | Tableau | SQL Asset Management Client | Small, High-Impact Consultancy Looking to make the leap into a highly visible analytics role, where your dashboards, insights, and recommendations are presented directly to CMOs and shape marketing strategy for a global asset … management brand? This is your chance to own the full analytics delivery cycle for one of this boutique consultancy's flagship clients. You'll be the go-to for insight, optimisation, and strategic recommendations - presenting regularly to senior stakeholders and driving measurable impact. The Company A nimble and highly respected digital & analytics consultancy (~10 heads), known for delivering bespoke digital … supporting digital performance across campaigns, channels, and products - identifying trends, testing hypotheses, and influencing marketing strategy. Your Impact: Develop and maintain Tableau dashboards to track digital KPIs Use Adobe Analytics to build segments, funnels, and run attribution models Produce weekly/monthly reports and lead on digital marketing insights Present directly to senior stakeholders, including CMO-level Advise on personalisation More ❯

Sector: Private Wealth/Financial Services About the Role A leading Financial Services organisation is looking for a Data Analyst/BI Developer to join its Data Insight and Analytics function. You will play a key role in developing the business's analytics capability, building dashboards, insight tools, and data models that directly support senior leaders within its Private Wealth … division. This role suits someone who wants to go beyond dashboard building and become a trusted analytics partner, shaping how data drives strategic decision making across the organisation. Key Responsibilities Act as the subject matter expert for data analytics and visualisation within the Private Wealth division. Partner with senior leadership and key stakeholders to translate requirements into high-impact analytical … Wealth/Investment Management data is highly desirable. Familiarity with Agile delivery environments. Why This Role You will join a forward-thinking data team that is building a modern analytics ecosystem within Financial Services. This is a highly visible position where you will work closely with business leaders and own the full delivery process from data modelling to executive-ready More ❯

requires a mix of technical expertise with a proven background in consulting, being client facing & the ability to work on large multi-million pound projects. Contract Details: Power BI Analytics Architect 6 Months - extensions likely £(Apply online only)/day Hybrid - 1-2 p/w in London Power BI, Microsoft Fabric, Azure, SQL etc. SC Clearance is desired, but More ❯

Engineer to help support a greenfield implementation of Databricks and further support the advancement of their modern data platform. The successful applicant will work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary More ❯

Engineer to help support a greenfield implementation of Databricks and further support the advancement of their modern data platform. The successful applicant will work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary More ❯

Engineer to help support a greenfield implementation of Databricks and further support the advancement of their modern data platform. The successful applicant will work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary More ❯

Engineer to help support a greenfield implementation of Databricks and further support the advancement of their modern data platform. The successful applicant will work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary More ❯

The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks More ❯

are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB . Essential requirements You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders More ❯

The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks More ❯

The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks More ❯

The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks More ❯

outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of £50,000-£60,000 £5000 a year professional More ❯

outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of £50,000-£60,000 £5000 a year professional More ❯

S/4HANA ecosystem Define and oversee the implementation of SAP MDG frameworks for material, customer, and vendor master data Provide architecture oversight on SAP BW/4HANA, Embedded Analytics, Power BI, and Azure Data Lake integration's Collaborate with SI partners and internal teams to ensure sustainable, scalable data models Support solution design reviews and ensure documentation aligns with More ❯

real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years’ relevant experience and a strong quantitative background Ability More ❯

real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years’ relevant experience and a strong quantitative background Ability More ❯

real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years’ relevant experience and a strong quantitative background Ability More ❯

real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years’ relevant experience and a strong quantitative background Ability More ❯

security best practices. Communicate complex technical details in clear terms to non-technical stakeholders. Skills & Experience Expertise in areas such as CRM, case management, cloud (Azure, SaaS), Dynamics, data analytics, RPA/AI, or telephony. Strong background in solution design for outsourced or government environments. Ability to balance technical, business, and commercial considerations. Strong communication, analytical thinking, and stakeholder engagement More ❯

a hybrid working environment, with 2-3 days per week in the London office. Candidate Requirements Proven experience developing multi-touch attribution models (essential). Background in customer journey analytics or B2C purchase path modelling. Strong hands-on technical skills with SQL and Python. Excellent communication and stakeholder management skills. Pragmatic approach - focused on delivering results, not perfection. More ❯

problem. House deposit to save for? Easy. This company, established in 1818, is a leading global provider of legal and regulatory intelligence. They offer organisations the business information and analytics they need to make better, more impactful decisions. Currently they're building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and More ❯

a hybrid working environment, with 2-3 days per week in the London office. Candidate Requirements Proven experience developing multi-touch attribution models (essential). Background in customer journey analytics or B2C purchase path modelling. Strong hands-on technical skills with SQL and Python. Excellent communication and stakeholder management skills. Pragmatic approach - focused on delivering results, not perfection. More ❯

problem. House deposit to save for? Easy. This company, established in 1818, is a leading global provider of legal and regulatory intelligence. They offer organisations the business information and analytics they need to make better, more impactful decisions. Currently they're building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and More ❯

problem. House deposit to save for? Easy. This company, established in 1818, is a leading global provider of legal and regulatory intelligence. They offer organisations the business information and analytics they need to make better, more impactful decisions. Currently they're building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and More ❯