551 to 575 of 703 Analytics Jobs in Central London

maintain dashboards and BI tools (Power BI, with DOMO being introduced) Deliver actionable insights on product, pricing, and market trends Automate reporting and upskill stakeholders to use self-service analytics tools Support forecasting, budgeting, and strategic planning through data-led insights Translate technical outputs into clear commercial recommendations YOUR SKILLS AND EXPERIENCE 3–5 years’ experience in analytics or commercial … data roles Proficient in SQL and Power BI (Python or DOMO experience desirable) Confident operating in smaller data teams and owning analytics delivery Strong commercial mindset and stakeholder management skills BENEFITS Salary up to £53,700 + annual bonus 1pm Friday finishes Private healthcare and study sponsorship Exposure to high-profile global projects Full ownership of analytics within a globally More ❯

to gather requirements, define business processes, and drive system adoption System Integration: Work with IT teams and vendors to ensure seamless integration of TPM with existing ERP, CRM, and analytics platforms Training & Change Management: Provide inputs on training programs, change management activities, and communication strategies to ensure smooth user adoption and minimize disruption to business operations Data Management & Analytics: Employ … a ‘data-led’ mindset to ensure data accuracy, reporting, and analytics capabilities within the TPM system to support business decision-making Issue Escalation: Serve as an escalation point from market teams up to the global SRM team and leadership teams Continuous Improvement: Monitor and measure program rollout success factors, gather feedback, and recommend enhancements to maximize efficiency As a leader More ❯

optimise supporter journeys, and ensure data drives measurable impact across multiple channels, helping the organisation achieve its ambitious goals. The ideal candidate will have experience leading data, insight, or analytics teams, with a strong understanding of customer journey mapping, digital engagement, and stakeholder management. Knowledge of data structures, databases, and analytics tools is essential, with experience in email marketing platforms … a What we’re looking for: Leadership experience in data, insight, or analytics teams Proven experience in customer journey mapping and digital engagement Strong stakeholder management and communication skills Knowledge of data structures, databases, and analytics (experience with email marketing platforms a plus) Perks & Details: £64k–£67k per year (flexible for exceptional candidates) Hybrid working – mostly remote, with occasional London More ❯

insights and learnings Deliver experimentation roadmaps and hypothesis-driven product improvements YOUR SKILLS & EXPERIENCE Strong SQL with hands-on experience analysing product data Exposure to dbt and version-controlled analytics workflows Python for deeper analysis and exploration Experience with modern BI tools (Lightdash/Looker or similar) Strong communication and data storytelling Background in product analytics in consumer-facing digital More ❯

shares *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI — giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models … experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation. What you’ll do Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance. Use SQL and Python to build data workflows, automation scripts, and reporting processes. Support the integration of AI and LLMs into reporting and query-generation … and non-technical teams to translate data into clear recommendations. Learn how to evolve manual workflows into scalable, automated intelligence systems. What we’re looking for Experience in data analytics, data engineering, or campaign analytics. Strong SQL skills, plus Python (or R) for data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. More ❯

m working with a leading global gaming technology and data platform that’s looking for experienced Quant Analyst/Data Scientist/Machine Learning Engineer to join their growing analytics team. You’ll work closely with senior data scientists, data engineers, and quants to develop and deliver machine learning models that power decision-making across multiple brands and markets. This … reliable delivery Nice to have: Experience with R or other statistical tools Exposure to model deployment/MLOps environments Familiarity with high-volume digital products or gaming/sports analytics More ❯

I'm working with a fantastic software company that's looking for a Principal Software Engineer to join their team. They've developed a powerful product that utilises data analytics and machine learning to optimise inventory data, built primarily on Java. This is a key role where you'll take ownership of the technical roadmap and manage solutions architecture, acting … as a vital link between leadership and the engineering team. Job Title: Principal Software Engineer Location: Central London (Office Based) Salary: £80,000 - £95,000 Industry: Software/Data Analytics Requirements: Over 7 years of experience as a Full Stack Developer. Proven track record in leading product development and architecting solutions. Demonstrated expertise in scaling and managing production systems. Provides More ❯

Investment Management Systems Product & Platform Manager Performance Measurement & Analytics Specialist London | Hybrid Up to £125k + Bonus & Benefits | £15k Bonus, 30 Days Holiday, 14% Pension This role will suit a investment systems and processes leader with a proven track record of implementing complex operational and technology solutions within the financial services industry. A visionary who can inspire teams and influence … In this pivotal role, you will be responsible for both the long-term strategic roadmap and the continuous improvement and operational stability of your portfolio and capability area. ( Investment Analytics & Platform Strategy) Hands-on experience or strong familiarity with leading investment technology platforms: BlackRock Aladdin, MSCI RiskManager, Axioma, FactSet, Confluence , SimCorp Dimension, SS&C Advent. Required Experience & Skills: Strong leadership More ❯

measurable business impact. What you’ll be doing: Leading and mentoring a team of four data scientists. Delivering data science projects that support customer and marketplace initiatives. Applying advanced analytics and machine learning to areas such as customer behaviour, marketing performance, supply chain optimisation, or fraud detection. Collaborating cross-functionally with finance, operations, and product teams to ensure insights drive … action. Staying hands-on where needed to guide technical delivery and uphold quality. What we’re looking for: Strong background in data science, analytics, or machine learning within a commercial environment. Previous experience managing or leading a team. Ability to balance technical depth with strategic understanding of business objectives. Excellent stakeholder management and communication skills. Comfortable working in a fast More ❯

tailored to business needs, while customizing platforms and overseeing the full API lifecycle using Apigee Edge and X. Drive API strategy execution, provide technical support, and generate insights through analytics to enhance integrations and documentation. Key skills for this role Hands-on experience with infrastructure-as-code tools (e.g. Terraform, Ansible) is a must Proficiency with AWS cloud tools and … Proficiency in Node.js-based web applications Strong analytical and problem-solving skills Good knowledge of the Apigee platform or any APIM platform and its components Ability to generate custom analytics reports for API consumption and errors Implementation of API security and access control (OAuth, API keys, JWT, etc.) Familiarity with API design patterns, best practices, and performance optimization Excellent collaboration More ❯

to work with a rapidly growing start up operating within the green tech space. THE ROLE AND RESPONSIBILITIES: This senior data role is focused on leading strategic, high-impact analytics initiatives that translate complex business challenges into data-driven insights and solutions. The position combines technical depth with commercial awareness, supporting decision-making across the organisation through forecasting, optimisation, and … influence business decisions. Experimentation and impact measurement: Design and evaluate A/B tests or uplift models to assess changes and measure causal impact (desirable). Energy and demand analytics: Analyse consumption patterns and load forecasts to support operational efficiency and resource planning. Leadership and mentorship: Manage and develop a Data Analyst, providing guidance, feedback, and opportunities for growth. YOUR More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

will directly shape that vision. THE ROLE As a Data Modeller , you will play a pivotal role in designing, developing, and implementing enterprise-level data models that power advanced analytics, reporting, and AI/ML initiatives. You’ll lead the creation of frameworks and standards, ensuring consistency and excellence across all data projects while engaging with senior stakeholders to deliver … cataloguing , ensuring robust data lineage and governance. Building standards and frameworks that define how data is structured and managed across multiple platforms. Collaborating closely with architects, data engineers, and analytics teams to ensure data models align with business and technical goals. Leveraging tools such as ERWin, Sparx, RSA, Visio , and handling semi-structured data formats (JSON, XML, Parquet). SKILLS More ❯

curious, and ready to drive large-scale change. The Role We're seeking an experienced Data Architect to lead the design and implementation of enterprise data architecture that supports analytics, AI, and business transformation. You'll act as the bridge between suppliers, technology partners, and internal delivery teams, translating business needs into scalable, data-driven solutions. You'll engage at … decisions that shape the company's data future. Key Responsibilities Define and implement enterprise data architecture standards, frameworks, and best practices. Develop conceptual and logical data models to support analytics, data warehousing, and integration. Translate business requirements into robust data designs that align with enterprise strategy. Bridge communication between external suppliers and internal teams, ensuring consistent delivery. Lead data architecture More ❯

area and drive root‐cause analysis with crisp follow‐ups. 15% Collaborate Pair with back‐end & front‐end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase Gather requirements … align stakeholders, and write crisp docs. Bonus points DevOps wizardry; GPU/accelerator experience. Multimodal pipelines (text + voice + screenshots). Prior experience in contact center/CX analytics or novelty/anomaly systems. Founder or founding engineer experience More ❯

Terraform, AWS CLI, and Azure CLI. Comfortable to work with Github, AzureDevOps repos, pipelines, policies, etc. Proven experience in Azure and AWS networking. Good understanding of Azure Monitor, Log Analytics, and Network Watcher, AWS CloudWatch, SSM, AWS Duty guard, AWS Config, etc. Strong troubleshooting and problem-solving skills. Ability to work independently and as part of a team. Delivery focused … . Microsoft Certified: Azure Network Engineer Associate (or equivalent). Experience with Zscaler, Okta, Familiar with Linux, Docker and Kubernetes (EKS/AKS). Experience with Azure Monitor, Log Analytics, or third-party monitoring tools. Knowledge of PowerShell, bash, python, any other language. Exposure to implementation of AI in automation services. More ❯

Bsol partners Reporting Support Heads of Department and Operations Manager in analysis for CRM and HubSpot initiatives, including performance and ROI evaluations Improve business reporting by implementing a business analytics platform, focusing on automation, ease of use for wider team and reporting capabilities Training and team support Maintain system manuals and tango guides in collaborations with the Operations and Logistics … Systems or Operations role Proficient in ERPs (Brightpearl preferred), with additional experience in HubSpot, Shopify and Power BI or similar reporting tools Technically adept, with experience using database and analytics software Strong communication and collaboration skills for effective use support and cross-team coordination Detail-oriented with excellent prioritisation and problem-solving abilities Proactive, positive and solutions-focused approach to More ❯

Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid (3 office days a week) Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. More ❯

A leading global energy trading organization is expanding its Front Office Engineering & Analytics function in London. This team develops the technology powering front-office analytics, risk systems, and data-driven trading strategies across Power & Gas, Oil, and Market Risk domains. You’ll be joining an ambitious and technically strong group responsible for building the firm’s next-generation analytics platform … a cloud-native ecosystem on AWS, used globally by trading, risk, and analytics teams. These are hands-on engineering roles, focused on designing and scaling high-performance systems, data pipelines, and analytical applications. Key Responsibilities Build robust data pipelines and orchestration engines in AWS Integrate diverse datasets, including market, fundamental, and weather data Develop analytical and visualization tools (e.g., Dash …/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering best practices including Git-based version control and CI/CD Requirements 3–7 years of experience in data or software engineering Strong Python programming skills (Java or More ❯

actionable insights and develop a comprehensive understanding of customer needs Maintain and optimise performance reporting in BI tools, ensuring accessibility and usability for business users Collaborate with data and analytics engineering teams to model data effectively and build impactful reporting solutions We'd be really keen to speak with you if you have: 3+ years of product analytics or BI … analytics experience in a high-growth company A proven track record of driving business performance through actionable insights and effective presentation skills The ability to break down complex problems and dive deep into overlooked issues Proficiency in SQL and experience querying and transforming large datasets (billions of rows) using tools like Snowflake Expertise in BI tools such as Tableau or More ❯

Google Sheets to communicate complex data in a clear and impactful way that drives action. Optimization & Experimentation : Continuously explore new opportunities to deepen understanding of customer behaviour through advanced analytics, A/B testing, and experimentation. YOUR SKILLS AND RESPONSIBILITES: Customer & Lifecycle Analytics: Hands-on experience in customer and lifecycle analytics, particularly within B2C, subscription-based, or loyalty-driven environments. More ❯

/Monument), primarily remote. Rate: c. £350 per day outside IR35. Immediate start available. Global fast paced environment. You’ll be responsible for producing high-impact reports, dashboards, and analytics that inform service reviews, incident trends, change success rates, SLA adherence, and control compliance. Working closely with Service Owners, IT Operations, Risk & Compliance, and senior stakeholders, you’ll ensure data … Problem, and Request Fulfilment Monitor SLAs, KPIs, and OLAs to reflect service health and operational commitments Build dashboards and visualisations using tools like Power BI, Excel, and ServiceNow Performance Analytics Analyse service delivery trends to identify recurring issues and improvement opportunities Support service reviews and senior stakeholder meetings with actionable insights Ensure data accuracy and completeness within the ITSM platform … metrics tracking, and trend analysis Contribute to post-incident reviews, change reviews, and CSI initiatives What you’ll bring 2–4 years’ experience in ITSM reporting, operations, or service analytics Bachelor’s degree in IT, Business Analytics, Computer Science, or related field Working knowledge of ITIL (Foundation certification preferred) Proficiency in ITSM reporting. Strong skills in Excel (pivot tables, lookups More ❯

Product Owner – Analytics £45,000–£60,000 (plus bonus) Location: London – 2 days per week in the office (Tuesday/Wednesday or Wednesday/Thursday), remote the rest About the Company Our client is a market leader in risk and credit analytics across the energy, commodities, and financial services sectors. Their technology helps global trading firms manage exposure, streamline reporting … and make smarter, data-driven decisions. As part of the growth of their Analytics product line, they’re hiring a Product Owner to help shape the next generation of risk and analytics tools used by major energy and commodities players worldwide. The Hiring Manager summed it up perfectly: “It’s a chance to build something rather than just chase tail … lifecycle — from requirement gathering and analysis to testing, release, and enhancement. What You’ll Do Work with clients and internal teams to gather and clarify requirements, shaping features for analytics and risk systems. Analyse and validate outputs from pricing and risk engines (e.g. P&L, VaR, PFE, Pricing Curves). Translate business needs into clear, testable Business and Functional Requirements More ❯

To be discussed – highly competitive salary with comprehensive executive package (including bonus and car allowance) Are you a strategic data leader ready to shape the future of enterprise-wide analytics and insight? Do you have a passion for data governance, business intelligence, and influencing change across complex organisations? If so, this is a rare opportunity to join a dynamic leadership … Engagement: Build trusted relationships with senior leaders to align data initiatives with strategic priorities. The successful candidate will have the following experience: Proven experience leading enterprise data, BI, or analytics programmes Expertise in data governance, BI strategy, and analytics delivery Deep understanding of BI platforms, data architecture, and regulatory compliance (e.g., GDPR) Ability to influence and collaborate across teams without … direct line management Excellent communication and stakeholder engagement skills Strategic mindset with a focus on innovation and continuous improvement Why apply? Shape the future of data and analytics in a major organisation Influence strategic decisions at the highest level Drive innovation and transformation across business units Work in a culture that values collaboration, insight, and continuous improvement The salary and More ❯

help shape data-driven decisions across their digital marketing ecosystem. This is your chance to join a cross-functional team driving customer growth, product adoption, and performance through deep analytics and actionable insights. If you’re someone who thrives on connecting data to commercial impact, this is the role for you. What You’ll Be Doing Analyse marketing campaign performance … automated data pipelines and dashboards to enable smarter, faster decision-making Partner with marketing, product, and tech teams to identify growth opportunities Be the go-to person for marketing analytics — owning your domain and driving clarity from data What We’re Looking For 5+ years of analytics experience, ideally in digital or performance marketing Advanced SQL and experience with tools … like DBT or Airflow Hands-on experience with marketing analytics tools (GA, Amplitude, Optimizely, etc.) Confident running A/B tests , building attribution models, and defining marketing KPIs Skilled with visualisation platforms (Looker preferred) Strong communicator who can influence decisions and tell stories with data Why Join Hybrid, flexible working model (3 days in office) Big impact, high autonomy, and More ❯