451 to 475 of 686 Analytics Jobs in Central London

DIGITAL ANALYTICS SPECIALIST SALARY UP TO £55,000 HYBRID – LONDON – 1-2 DAYS A WEEK IN OFFICE This position is for a Digital Analytics Specialist at a London-based digital agency known for its creative, data-driven approach across Hospitality, Travel, Food & Drink, and Entertainment sectors. The role combines hands-on technical analytics work with client-facing responsibilities, leading the … agency’s analytics function and ensuring high-quality data insights for performance, creative, and strategy teams. THE ROLE AND RESPONSIBILITIES: Lead analytics projects across a portfolio of digital clients. Set up and manage Google Tag Manager (GTM) containers, tagging plans, and tracking implementation. Oversee analytics accounts, ensuring data accuracy and consistency across GA4, Looker Studio, and BigQuery integrations. Develop and … and reporting frameworks. Analyse performance data to deliver actionable insights and strategic recommendations. Present data and insights confidently to internal teams and clients. Line manage and mentor an offshore analytics specialist. Collaborate closely with performance, creative, and strategy teams to inform campaign and business decisions. YOUR SKILS: Strong experience with Google Analytics 4 (GA4), GTM, and Looker Studio. Proven ability More ❯

About Plandek Plandek is a SaaS analytics platform built to help software engineering teams and technology leaders accelerate delivery, improve predictability, and drive continuous improvement across the full software lifecycle. By bringing together data from issue tracking, code repositories, CI/CD pipelines and more, we surface meaningful insights and embed intelligence into every part of your delivery process. Think … of us as Google Analytics for engineering delivery. As the era of Generative AI reshapes how software is designed, built, and delivered, we’re evolving Plandek to harness this transformation. AI is amplifying developer productivity, automating routine tasks, and changing how teams collaborate — and Plandek is uniquely positioned to make sense of this new data-rich environment. We’re embedding … product strategy. Working closely with Product, Design, and Customer Success, you’ll ensure every feature we build reflects real user needs and delivers measurable impact. You’ll use Heap Analytics and other tools to turn product usage data and customer feedback into a clear, evidence-led understanding of the customer journey — from adoption to long-term retention. What You’ll More ❯

their industry; our client is seeking an adept professional to spearhead strategic leadership and technical expertise within their data solutions landscape, focussed on cloud data platforms, but including IoT analytics, data integration, and migration projects. This unique opportunity is offered on a remote-first basis, but with an open click apply for full job details More ❯

knowledge of technical, onsite and offsite SEO best practices Data-driven mindset, focussing on performance and commercial impact Developing and managing content strategies, including link building. Comfortable using Google Analytics, Looker Studio, Search Console, Screaming Frog, SEMRush and Wordpress. Monthly rolling contract – 5 days a week with 1 day onsite in their London offices (Close to London Bridge) - £280 per More ❯

websites in Webflow • Collaborating with designers and developers to bring concepts to life • Optimising performance, SEO, and accessibility (WCAG 2.2 AA) • Working with animation tools like GSAP and integrating analytics platforms What we’re looking for: • Strong experience in Webflow, HTML, CSS, JavaScript • Attention to detail and a real eye for design precision • Knowledge of accessibility standards and performance optimisation More ❯

to suit your skillset/interests but you'll be working with the latest versions of Java, directly with traders and quants to build out high performance pricing and analytics tools from scratch. This role is greenfield and will allow you to shape the build out of this business function. What else is in it for you? • Software Engineers are More ❯

training, tech, and career development support Why this business Backed by decades of heritage and trusted by global institutions, this internationally respected information provider delivers critical data, pricing, and analytics across commodities markets. With over 900 employees and clients in more than 40 countries, the business is investing in its customer experience to fuel its next phase of growth. This More ❯

and internal teams to define data architecture and strategy within the Microsoft ecosystem. Designing and presenting end-to-end Microsoft data architectures that integrate data technologies like Azure Synapse Analytics, Fabric and Power BI with Dynamics 365, Power Platform, AI Foundry, and Copilot Studio. Supporting sales and solution design processes by creating Microsoft-aligned proposals, solution diagrams, and proofs of … the Microsoft Data and AI stack. Required: 3–6 years’ experience in Microsoft Data Solution Architecture, Pre-Sales, or Solution Design roles. Deep understanding of Microsoft Fabric, Azure Synapse Analytics and Power BI. Strong understanding of how data and analytics integrate with Dynamics 365 (F&O and CE), Power Platform, and Copilot Studio. Exposure to AI technologies in the Microsoft More ❯

HYBRID 1-2 DAYS A WEEK IN OFFICE We’re partnering with an established global business seeking a Commercial Data Analyst to take full ownership of the company’s analytics strategy and delivery. This role will work closely with senior stakeholders to drive data-led decision making and foster a more data-literate culture across the organisation. THE ROLE AND … RESPONSIBILITES: Lead the end-to-end analytics strategy and reporting framework. Partner with business leaders to gather and analyse data from multiple sources (Salesforce, NetSuite, Google Analytics). Design and maintain dashboards and BI tools (Power BI, DOMO). Deliver insights and recommendations across pricing, product, and market performance. Automate reporting processes and train stakeholders to use them effectively. Translate … identify growth opportunities. Assess marketing ROI, publishing trends, and commercial indicators. Use NPS and customer metrics to evaluate commercial effectiveness. YOUR SKILLS: Strong commercial acumen with proven experience delivering analytics in a commercial-facing role. Excellent communication skills with the ability to translate complex data into clear, actionable insights for non-technical audiences. Confident stakeholder manager, experienced in engaging with More ❯

in Commercial, Merchant and Investment Banking Dealing with Enterprise Risk Governance, Risk and Regulatory Compliance (GRC) in the Risk & Finance domains. Extensive knowledge in Credit, Market, Liquidity Risk methodologies, analytics, and reporting. Experience in this domain specific technology and data architectures leveraging modern tools and data sourcing, transformation, analytics, and reporting technologies. Experience in implementing in-house and vendor solutions … that meet user requirements and mitigate operational risks. Experience in system integration. Working knowledge of Agile Scrum methodology and ability to manage Agile teams. Knowledge of data mining and analytics application an (SAS, SQL, Python) and visualisation tool such as (Power BI, Tableau, Qlik) Understanding of requirements under Basel II, III, IV as well as well as best practices for More ❯

is a high-impact role for a data professional who thrives on uncovering insights, driving experimentation, and shaping strategy through data. Key Requirements 5+ years of experience in data analytics Advanced SQL and Python skills for data analysis, modelling, and automation. Proven experience designing, running, and interpreting A/B tests and experiments. Strong understanding of growth, engagement, and retention … and visualisation using tools such as Amplitude, Looker, Tableau, or QuickSight. Excellent communicator who can translate data into actionable insights and influence decision-making. Bonus: exposure to AI-driven analytics , LLMs , or cloud-based data infrastructure (AWS/GCP). Why Join? Drive impact at a fast-scaling, data-led company shaping the digital economy. Own the full analytics lifecycle More ❯

is a high-impact role for a data professional who thrives on uncovering insights, driving experimentation, and shaping strategy through data. Key Requirements 5+ years of experience in data analytics Advanced SQL and Python skills for data analysis, modelling, and automation. Proven experience designing, running, and interpreting A/B tests and experiments. Strong understanding of growth, engagement, and retention … and visualisation using tools such as Amplitude, Looker, Tableau, or QuickSight. Excellent communicator who can translate data into actionable insights and influence decision-making. Bonus: exposure to AI-driven analytics , LLMs , or cloud-based data infrastructure (AWS/GCP). Why Join? Drive impact at a fast-scaling, data-led company shaping the digital economy. Own the full analytics lifecycle More ❯

is a high-impact role for a data professional who thrives on uncovering insights, driving experimentation, and shaping strategy through data. Key Requirements 5+ years of experience in data analytics Advanced SQL and Python skills for data analysis, modelling, and automation. Proven experience designing, running, and interpreting A/B tests and experiments. Strong understanding of growth, engagement, and retention … and visualisation using tools such as Amplitude, Looker, Tableau, or QuickSight. Excellent communicator who can translate data into actionable insights and influence decision-making. Bonus: exposure to AI-driven analytics , LLMs , or cloud-based data infrastructure (AWS/GCP). Why Join? Drive impact at a fast-scaling, data-led company shaping the digital economy. Own the full analytics lifecycle More ❯

On behalf of our client, we are looking for a Senior Data Engineer to join a fast-growing analytics team within a cutting-edge technology company. This is an exciting opportunity to work on large-scale data projects, build modern data infrastructure, and help shape the future of data-driven decision-making. Responsibilities Design, build, and maintain scalable data pipelines … and ETL processes. Collaborate with data scientists, analysts, and engineers to ensure high-quality data delivery. Develop and optimise data models for analytics and reporting. Implement best practices for data governance, security, and performance. Work closely with stakeholders to translate business requirements into technical solutions. Requirements 5+ years of experience in Data Engineering or a similar role. Strong proficiency in … and ability to work in a collaborative environment. Nice to Have Exposure to real-time data processing and streaming architectures (Kafka, Beam, or similar). Experience working with modern analytics stacks and machine learning pipelines. If you’re passionate about building high-performing data systems and want to join a company that values innovation and technical excellence, we’d love More ❯

modelling Location – UK Business Unit – DNAINS Compensation – Competitive (including bonus) Job Description We are seeking an experienced Data Modeler who can analyse and understand the existing customer data and analytics models on SQL Server, and design efficient data models for Snowflake. This individual will work closely with multiple Business Analysts to gather requirements and translate them into optimized data structures … Your role In the role of a Data Modelling Lead, you will be responsible for leading the design and transformation of enterprise data models to support scalable, high-performance analytics and reporting solutions. You will analyse existing data models built on SQL Server and guide the development of optimized structures on Snowflake, ensuring alignment with business requirements and enterprise standards. … You will collaborate with Business Analysts and cross-functional teams to translate complex reporting and analytics needs into efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data More ❯

design, build, and scale the data infrastructure that powers products and decision-making. This role is central to how data flows across the organization—from ingestion and processing to analytics and insights. You’ll work closely with developers, analysts, and trading teams to ensure data is reliable, accessible, and built for the future. This role combines hands-on engineering with … re seeking someone who takes ownership, enjoys tackling complex problems, and can deliver impactful solutions across multiple systems and teams. Responsibilities Design, build, and maintain robust data pipelines for analytics, reporting, and product use cases. Contribute to long-term technical roadmap and participate in architecture discussions. Build and optimize ETL/ELT processes for small- to large-scale data processing. … Develop clear, well-structured data models and maintain documentation to support analytics and self-service. Collaborate with software developers, analysts, and trading teams to deliver reliable and scalable data solutions. Identify opportunities to improve performance, automate processes, and enhance data quality and reliability. Core Skills & Competencies Collaborative mindset: Works well with teams, communicates openly, and fosters a positive culture. Analytical More ❯

to optimise their business performance through analytical services and software. The role We are looking for a new addition to our London-based team of consultants to deliver data analytics projects (predominantly involving marketing mix modelling), support users of our specialised MMM software, and contribute to the evolution of our products. As a Senior Analytical Consultant you will work across … a varied and diverse range of clients, responsible for contributing to the excellent delivery of data analytics projects plus providing training and technical support to clients that use our software. You will be a key member of the team, taking on responsibilities for day-to-day management of live projects items, and ensuring high levels of quality from the wider … high level of autonomy and opportunity for initiative. Responsibilities This is a hands-on role in which you will work as part of the consulting team to deliver data analytics projects from end-to-end – including project kick-off, data collection, data processing, model-building, optimisation and providing recommendations Develop econometric models to evaluate the effectiveness of various marketing activities More ❯

HD-Tech are delighted to once again be partnering with a leading data and analytics consultancy to support their search for a talented Principal Consultant. Position: Principal Consultant Location: UK-based, with a requirement to be in London 2 days per week Employment Type: Full-time Salary: £90,000 – £110,000 (depending on experience) Overview An exciting opportunity has arisen … Business Objects Data Services . Develop and manage SQL Server databases, including writing and optimising queries and stored procedures. Build and maintain data warehouse solutions to support reporting and analytics needs. Create and manage reports and dashboards using SAP Business Objects and Crystal Reports . Work closely with cross-functional teams to design scalable, efficient data solutions. Monitor and optimise … delivery. Strong problem-solving abilities and attention to detail. Excellent communication and stakeholder management skills. Proven leadership experience managing or mentoring technical teams. Desirable: Exposure to additional BI and analytics tools (e.g. Power BI , Tableau ). Knowledge of Microsoft data integration technologies. Familiarity with cloud and big data environments. Education and Background Degree in Computer Science , Information Technology , or a More ❯

Analytics Manager This role is working with a leader in the housing and proptech space to supply strong insights to a range of financial services clients. They're disrupting the mortgage space with innovative and data led solutions, and they're only growing. What You'll Be Doing: Lead the Team: Mentor 2-3 analysts, oversee day-to-day delivery … and ensure outputs hit the mark - every time. Be the Face of Analytics: Present actionable insights to clients across banking and financial services, showing exactly how your team's work moves the needle. Work Cross-Functionally: Collaborate with product, commercial, and pre-sales teams to co-create data-driven solutions that resonate with clients. Think Strategically: Spot market trends, anticipate … client needs, and feed into the long-term direction of data products. Drive Project Delivery: Manage multiple workstreams, ensuring analytics projects are delivered on time and with impact. Fuel Innovation: Apply insights across different verticals to help evolve and scale the product offering. What They're Looking For: 5-7 years analytics experience in FS, mortgages, credit risk, or a More ❯

meet the organisation's specific needs Develop business intelligence reports that can be automated, reused and shared with users directly Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems Build accessible data for analysis Deliver data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future-proof Investigate problems … experience with core AWS data services. Key services include: S3 for data lake storage AWS Glue for ETL and data cataloging Amazon Redshift or Athena for data warehousing and analytics Lambda for event-driven data processing. ETL/ELT pipeline development : experience in designing, building, and maintaining robust, automated data pipelines. You should be comfortable with both the theory and … CloudFormation Data modelling and warehousing: Dimensional Data Modeling : Deep understanding of data warehousing concepts and best practices. Experience of, and ability to, transform raw transactional data into well-structured analytics-ready datasets using schemas like the star schema (Kimball methodology) Data Quality & Governance : build trust in data by implementing data validation checks, testing frameworks, and clear documentation within your pipelines More ❯

or Remote/Hybrid) Reports to: CEO About the Client: Our client helps enterprises discover, assess, and respond to third-party and supply-chain risks through advanced AI-driven analytics and intelligence . Their mission is to deliver continuous, data-backed visibility into the extended enterprise — enabling organizations to identify vulnerabilities, map their digital ecosystems, and make informed decisions about … Overview: As Product Manager you will be responsible for owning the product roadmap and execution for one or more major modules of our platform (e.g., discovery & mapping, risk scoring & analytics, automated response). You will work closely with the CTO/founder, engineering, data/AI teams, UX/design, marketing, and customer-success to define product strategy, prioritise features … webinars, product demos). Required Qualifications & Skills: Proven experience (typically 3-7 years) as a Product Manager (or Senior PM) in a SaaS environment. Experience working on data-/analytics/AI-driven products (bonus if in cybersecurity, supply-chain risk, third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE More ❯

wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience. As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience. Key Responsibilities Translate business challenges into analytical questions … across the organisation. What We’re Looking For Strong analytical foundation with experience applying statistics and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling. Ability to communicate complex findings in a clear, business More ❯

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on LARGE and SIGNIFICANT … who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining and prioritizing product backlogs, writing detailed user stories, and … teams to deliver sprint goals. Agile product ownership: Experience in SAFe or similar agile frameworks, including daily scrum leadership and sprint planning. Cross-team collaboration:Effective working across engineering, analytics, and business teams to ensure seamless execution. KPI management: Ability to track, analyze, and interpret KPIs to guide product improvements and communicate results to stakeholders. Technical acumen: Solid understanding of More ❯

across international markets. Develop actionable dashboards – Create scalable, user-friendly dashboards that deliver real-time insights on key performance metrics (tNPS, Issue Resolution, AHT, etc.). Deliver deep-dive analytics – Conduct root-cause analysis to identify pain points and drive operational improvements. Support experimentation – Analyse A/B test outcomes to optimize customer and digital experiences. Influence through storytelling – Translate … data insights into compelling narratives that drive strategic decisions across business units. What We’re Looking For 8+ years’ experience in Data Analytics or Data Science (ideally within Customer Success, Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks More ❯

regulatory frameworks including GDPR and CCPA Technology & Enablement Evaluate and deploy modern data platforms and tooling (e.g. ETL services, data catalogues) Support the adoption of cloud-native technologies across analytics and storage layers Culture & Capability - Champion a data-first mindset through training and awareness initiatives Support role-specific enablement for data owners and custodians Contribute to internal knowledge sharing and … relevant data architecture role Previous experience in financial services, or investment banking, FinTech Desirable - Certifications such as Azure/Fabric Data Engineer Associate or SnowPro Advanced Architect Experience designing analytics platforms in financial services or investment domains Attributes & Competencies: Strong communication and stakeholder engagement Analytical mindset with attention to detail Collaborative leadership and influence across teams Passion for continuous improvement More ❯