1 to 25 of 698 Analytics Jobs in the City of London

is personal to all of us.” – Julie Sweet, Accenture CEO Imagine being part of team that helps transform leading organizations and communities around the world! You will have marketing analytics or web analytics background and will be comfortable using data to help advise clients on website design, user journey analysis, media advisory and digital strategy. During client projects you will … promoting a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions as well as supporting Accenture to evolve its digital analytics offering. Responsibilities: Set strategic vision for digital analytics in-line with broader client landscapes, e.g. marketing, technology, data etc. Establish our client’s measurement strategies for their digital assets, including … web and app. Audit and define digital analytics tagging implementations with the ability to work with both business and technical stakeholders to ensure that tracking requirements are captured and implemented accurately. Define dataLayer structures and other key requirements for digital analytics purposes Analyze website traffic, user engagement, and conversion rates to identify opportunities for optimization. Create dashboards and reports to More ❯

Role: SAP Data & Analytics Lead – HCM/HR Location: London, UK Is it Permanent/Contract: open for both Is it Onsite/Remote/Hybrid: Onsite Overview We are seeking an experienced SAP Data & Analytics Lead with a strong background in Human Capital Management (HCM) and HR analytics to lead the design and delivery of SAP-based data solutions. … Data Warehouse Cloud) with a solid understanding of HR data models , business processes, and reporting needs. You will be responsible for defining and implementing data strategies, data models, and analytics solutions that empower HR and business stakeholders to make data-driven decisions across Talent, Payroll, Learning, Recruitment, and Workforce Planning domains. Key Responsibilities: Lead the design, architecture, and implementation of … SAP Data & Analytics solutions, focusing on SAP Datasphere , SAP Analytics Cloud (SAC) , and SuccessFactors data integration. Define and build data models for HR and HCM domains , ensuring alignment with business requirements and SAP best practices. Collaborate with HR business stakeholders to translate functional HR requirements into scalable data and reporting solutions. Design and develop data pipelines and data models across More ❯

limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯

Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role: We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries More ❯

designing, implementing, and optimising large-scale data processing systems. You will work closely with clients, data scientists, and solution architects to ensure efficient data pipelines, reliable infrastructure, and scalable analytics capabilities. This role requires strong technical expertise, problem-solving skills, and the ability to work in a dynamic, client-facing environment. Your Impact: Develop, implement, and optimise data pipelines and More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week) Department: IT Type: 3 months rolling contract Outside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making. Key Responsibilities Design and build data … BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability More ❯

London) I am looking for a Senior Data engineer to join an incredibly interesting Insurance Underwriter/MGA. Within this role you will be working closely with the Data analytics team focusing on ETL processes, creating roadmaps for their central data warehouse and working with stakeholders to gather requirements. Technical Skills Languages: Python, SQL Databases: Microsoft SQL Server (Azure SQL More ❯

impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and More ❯

enterprise cloud systems - Anaplan, DealCloud, Workiva, Alteryx or Microsoft 365 Basic familiarity with technologies that underpin an enterprise data platform built using Microsoft Azure technologies (Azure Data Lake, Synapse Analytics, Data Factory, Purview, Power BI) Awareness or experience with Generative AI, Agentic AI, or automation technologies (eg, ChatGPT, Microsoft Copilot, AI workflow tools) Prior experience in Investment Management (ideally Private More ❯

of our product offerings Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Design intuitive visualisations to communicate findings and insights to clients, technical and More ❯

delivery, connecting millions of customers with restaurants across more than 80 markets. The company’s culture is built around collaboration, innovation, and data-driven decision-making . Their Customer Analytics team plays a central role in driving customer growth and loyalty through actionable insight and experimentation. THE ROLE: As a Senior Customer Analyst , you’ll join the Customer Analytics function … per day (Inside IR35) . DOE Hybrid working – 2 days per week in office. Work on customer growth and loyalty initiatives with measurable business impact. Opportunity to shape analytics within a global data-driven organisation . HOW TO APPLY: Please register your interest by sending your CV to Atif Ahmad via the Apply link on this page. Interview process: SQL … test followed by a competency-based interview. Desired Skills and Experience Customer Analytics, Loyalty Analytics , Retention Strategy, Customer Segmentation, Churn Analysis SQL Looker Power BI Tableau Data Visualisation CRM Analytics Marketing Analytics Stakeholder Management Customer Insights Data Storytelling Mid-level to Senior Analyst (typically 3-6 years) Background in eCommerce, marketplace, subscription or digital marketing environments Experience collaborating with CRM More ❯

Claims Analytics Senior Manager (Fortune 500 FS/Insurance Firm) Location: London (Hybrid – 2 days in office) Salary: Up to £125,000 base + 20% bonus + excellent benefits Be the architect of a new Claims Analytics function. We’re partnered with a Fortune 500 financial services firm seeking an experienced Claims Analytics Senior Manager to design and establish a … best-in-class analytics capability that transforms how claims and underwriting decisions are made. In this newly created position, you’ll work closely with claims leadership to build an analytics framework from the ground up — delivering insights that drive performance, operational efficiency, and smarter strategic decisions across the international portfolio. What you’ll do Lead the design and development of … the Claims Analytics framework, defining key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI reporting and KPI dashboards. Ensure robust data governance and More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

Rapidly growing with ambitious expansion plans Collaborative and forward-thinking culture Focused on delivering data solutions that drive measurable business impact Role Overview Broad role spanning data science, engineering, analytics, and strategy Client-facing position with opportunities across diverse industries Design, implement, and optimize end-to-end data solutions Work on high-impact, dynamic projects with flexibility to innovate Key More ❯

senior leadership and shaping how data is used across the organisation. The chance to own and build BI capabilities within a growing, transformation-focused environment. Exposure to cloud-based analytics, automation, and enterprise-level reporting . Collaborative, forward-thinking culture with opportunities for professional growth and development. Competitive salary and benefits package, with a hybrid working setup in London. More ❯

engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key More ❯

a dynamic and collaborative environment. Key Responsibilities Analyze and understand business requirements related to core insurance data (e.g., policies, claims, customers, billing) to support modeling, data migration, reporting, and analytics initiatives. Collaborate with business stakeholders (such as business analysts, project managers, actuaries, and finance teams) and technical teams to document and validate data requirements. Define, document, and maintain comprehensive data More ❯

application across multiple projects · Involve in Discovery/solution planning discussions to define the solution roadmap. · Guide the integration of legacy systems with new data pipelines and reporting/Analytics tools Required · Should have hands on experience in Information Technology in technical design and architecting solutions. • Hand on experience in technology consulting, enterprise and solutions architecture and architectural frameworks, Data More ❯

application across multiple projects Involve in Discovery/solution planning discussions to define the solution roadmap. Guide the integration of legacy systems with new data pipelines and reporting/Analytics tools Required Should have minimum 14-15 years of experience in Information Technology with 7-8 years in technical design and architecting solutions. 7+ years of experience in technology consulting More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

We have an exciting opportunity for an experienced data & analytics professional to join the Performance team in London. Are you ready to make a different in a values-driven organisation? Can you transform varied data into meaningful insights & communicate effectively with diverse audiences to enhance organisational performance? Do you excel at applying critical thinking to evaluate service delivery models and More ❯

Role Title: Adobe Analytics Manager Location: London Canary Wharf (office 3 days per week) Duration: 6 Months Contract Rate: £550 to £575 a day Umbrella The Role: Adobe Analytics Manager Seeking a passionate Adobe Analytics Manager with expertise in Adobe Implementation, Analytics, and Customer Journey Analytics. The role involves configuring, implementing, and maintaining Adobe Analytics and Data Collection tools, delivering … actionable insights, and driving data-informed decisions. Experience with Adobe Web SDK and Customer Journey Analytics is highly desirable. Key responsibilities include managing tag implementations. Proficiency in JavaScript, familiarity with SDLC, and comfort with agile sprint teams are essential. Responsibilities: Tag Management: Implement and maintain internal and third-party tags for data capture across digital assets. Quality Assurance: Ensure data … accuracy and integrity, troubleshoot discrepancies, and address tracking issues. Performance Measurement: Define and track key metrics for Adobe Analytics, achieving data-driven objectives. Cross-Functional Collaboration: Work with Marketing, Product Management, UX/UI, and Development teams to understand data needs, track KPIs, and implement solutions. Team Collaboration: Collaborate with the wider analytics team to measure and value website changes. More ❯

Analytics Engineer – Hybrid, Central London We’re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling … teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation … Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to More ❯

expert for the data model and associated lineage. To ensure that robust data quality checks are embedded in the code to reflect established business processes. To support the Data Analytics team with data reconciliation issues. Working with the overall team to assist in migrating to the cloud. More ❯

models, flow diagrams, data dictionaries, and lineage documentation, while providing guidance to engineering teams on best practices for data integration and storage. The role involves close collaboration with engineering, analytics, and business stakeholders to ensure that architectural initiatives align with commercial objectives and delivery timelines. The Data Architect will also be accountable for establishing and enforcing data governance, security, and More ❯