126 to 150 of 343 Analytics Jobs in Central London

BI ecosystem . Ensure robust data governance, including a centralised data catalogue, data quality, compliance, and access management. Manage global teams across Data Engineering, Reporting, Data Governance, and Advanced Analytics, fostering an agile, value-driven, and innovation-focused culture. Collaborate with business and IT stakeholders (Data Owners, Product Owners, Business Leaders) to position data as a core strategic asset. Oversee … role in a global or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics. Excellent leadership and team management skills across distributed and cross-functional teams. Strong … technical stakeholders alike. The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine More ❯

Friday - 37.5 hours per week Location: 40 Grosvenor Place, London, SW1X 7AW. Contract: Full time, permanent What are we looking for? Cleveland Clinic London are looking to recruit an Analytics Engineer to join our Data and Analytics team, with a competitive salary range on offer. What makes us different? Cleveland Clinic London offers a brand-new high-acuity environment with … and in collaboration with expert clinicians. Our Mission, 'Caring for life, researching for health, and educating those who serve', assures our unwavering commitment to professional development. The Data and Analytics (D&A) team in Cleveland Clinic London is a centre of excellence (hub) providing the following capabilities to our caregivers: foster an analytics culture, data management, enterprise reporting & analytics, enterprise More ❯

Data and Analytics Manager Location: London Hybrid: 2/3 days per week onsite Reporting To: Deputy CEO Salary: £100,000 – £110,000 + Bonus + Benefits A forward-thinking, employee-owned business based in London is entering a significant growth phase supported by external capital investment. We’re seeking a strategic and hands-on Data and Analytics Manager to … the data strategy, business intelligence initiatives, and data governance frameworks, fostering a culture of data-driven decision-making across the organization. Key Responsibilities Build and lead a new data & analytics team. Develop and execute a company-wide data and analytics strategy aligned to business objectives. Own reporting and business intelligence, focusing on Power BI and SQL. Implement and oversee data More ❯

Established ‘ethically minded’ FinTech specialising in cutting edge Data Analytics are looking for a DevOps & Infrastructure Engineer. Wide variety of technology and cloud providers, including (but not limited to): AWS for most of their own internal projects Kubernetes, Helm and Docker for deployment of services GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts More ❯

marks an exciting development phase for them! THE ROLE As a Data Analyst, you can expect to be involved in the following: Utilising your strong SQL, Spatial data, and analytics experience to generate more insights Extract insights including specialised spatial analysis of movement and audience data Working closely with companies in the telecoms industry to gather spatial data to use More ❯

closely with internal PDS teams and external partners to design, build, and operate modern technology solutions that improve operational and strategic outcomes across UK law enforcement, including supporting advanced analytics, machine learning, and analytical platform capabilities Our Values are: We value People We do the right thing We are innovative We are one Team We are proud and passionate Key More ❯

Boutique Consultancy which means the potential to earn equity and share in the success of the Business. The Client: The Client are a fast-growing consultancy specialising in risk analytics and modelling services for leading financial institutions. Working with Tier 1 banks and other major clients, they provide cutting-edge solutions in credit risk, stress testing, capital adequacy & Data Management. More ❯

in Data product management with a background delivering data products Experience managing and establishing governance Strong understanding of Azure products such as Databricks Good background in Machine Learning (ML) analytics and deploying products Proven ability to mentor teams and lead continuous improvement in the data environment Excellent communication skills, attention to detail and self-starter To discuss this exciting opportunity More ❯

eCommerce) via REST/SOAP APIs and IntegrationHub Ensure consistent and reliable data across platforms Experience-Focused Solutions Enhance Customer Experience via journey mapping, self-service, and real-time analytics Deliver seamless Employee Experience workflows for onboarding, transitions, and day-to-day productivity Bring innovation with GenAI and automation Collaboration & Growth Participate in requirement gathering and documentation Contribute to code More ❯

conceptual architecture, solution, delivery plan Should be able to aware of the latest trends on what is happening in Digital space. Ex: knowledge on SRE, automation testing avenues, predictive analytics , AI, automation techniques Delivery readiness: Should have hands on experience in terms of managing identification of talent, either individual or squad based construct along with coaching and mentoring of the More ❯

trading. Resilience and ambition. Strong presentation and phone skills. Excellent writing and analytical skills. Tech-savvy can work with various platforms and technologies. Understand the principles of data, automation, analytics, and how that drives business. Be able to work in a scalable work environment where no two days are the same. We want to work with people who are excited More ❯

. Experience managing audits and leading teams. Strong communication skills and a collaborative mindset. A proactive, adaptable approach and a genuine interest in helping clients thrive. Familiarity with data analytics tools is a plus, but not essential. Must have right to work in the UK as sponsorship cannot be provided. Why This Role? Work with a diverse and creative client More ❯

data services. About the Role As a GCP Data Trainer, you'll be responsible for designing and delivering engaging, hands-on training sessions focused on GCP's data and analytics tools. You'll work with a diverse, international client base, helping upskill teams and drive cloud adoption through expert instruction and real-world insights. Key Responsibilities Deliver instructor-led training More ❯

conceptual architecture, solution, delivery plan Should be able to aware of the latest trends on what is happening in Digital space. Ex: knowledge on SRE, automation testing avenues, predictive analytics , AI, automation techniques Delivery readiness: Should have hands on experience in terms of managing identification of talent, either individual or squad based construct along with coaching and mentoring of the More ❯

Assisting end users with ad-hoc queries around Sun/Q&A Bank Reconciliation software (desirable but not essential) Data Lakes DESIRABLE SKILLS (Not Essential): Experience of IBM Planning Analytics (TM1) Medium to Advanced VBA skills Medium to Advanced SQL skills an advantage Advanced Microsoft Office (Excel, Word, Access and PowerPoint) An aptitude for business IT and management information Financial More ❯

goals and what makes a difference to them. You will use your knowledge and skill to help them define and refine problem statements. You frequently engage with our research, analytics, and value capture teams to understand pain points and opportunities to improve the experience, as well as drive your research activities. You will use your systems-driven mindset and ability More ❯

Management : Own the adoption journey — from stakeholder engagement and training to ongoing improvement and incident resolution. Innovation Focus : Stay ahead of market trends, identifying opportunities to embed automation, prescriptive analytics, and agentic AI into orchestration workflows. Team Building : Over time, you’ll have the opportunity to build a team focused on broader solution adoption — hiring specialists in adjacent domains such More ❯

Preferred Qualifications : Experience in e-commerce, retail, or B2C industries. Familiarity with HTML and email design best practices. Knowledge of GDPR and email marketing compliance. Proficiency in Excel, Google Analytics, and/or other reporting tools. Key Skills : CRM Platforms Email Marketing Strategy Loyalty Program Development Data Analysis and Reporting Customer Segmentation Automation and Workflows Campaign Optimization Cross-functional Collaboration More ❯

of the following areas: International corporate networks End-user compute within corporate environments Data centre infrastructure (server/storage/virtualisation) Public cloud Big data, visualisation and/or analytics Additionally, the ideal candidate may possess knowledge of software engineering/development lifecycle and methodologies. However, our focus is more on infrastructure than software. Leadership experience – project and programme management More ❯

Based in London, our client is looking for an experienced data analyst to join their team as a Senior Analytics Consultant on a permanent and hybrid-working basis, with 2 days at home per week (Mon and Fri). This job would suit someone with at least 3 years’ experience in data analytics using mainly SQL, with Python as well … been seen within the hospitality sector, they are looking to expand the team due to the expansion of some key projects. The successful individual will have a strong data analytics background in a role where they are interpreting business data and interpreting how this affects the business and what can be ascertained from this. Excellent communication skills are a must … due to the ongoing communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not More ❯

relational and non-relational databases, supporting data needs in fast-paced, content-driven environments. Experience in designing and maintaining scalable data pipelines and architectures, ideally integrating data from web analytics, content management systems (CMS), subscription platforms, ad tech, and social media. Ability to automate and optimise data workflows, using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to … ensure timely and reliable delivery of data. Experience building robust data models and reporting layers to support performance dashboards, user engagement analytics, ad revenue tracking, and A/B testing frameworks. Skilled in cloud-based data platforms and infrastructure (e.g., AWS, GCP), ensuring scalability and security for large volumes of streaming and batch data. Had exposure to data warehouses such … Purpose We are looking for a Data Engineer to join our team. They will be responsible for maintaining and supporting the existing data infrastructure used to underpin our data analytics and reporting. They will be accountable for building as well as owning new engineering solutions. These must complement our current, scalable data architecture. The Data Engineer will be expected to More ❯

A fast-growing retailer with a nationwide presence is expanding its digital capability and looking for a skilled Digital Analytics Manager to lead insight generation across its web and mobile platforms. Serving millions of customers, the business is undergoing a digital transformation and needs a data-savvy individual to help shape smarter decision-making across teams. Role & Responsibilities: Develop and … own the digital analytics roadmap for both web and app environments Define key performance indicators (KPIs) and create dashboards to monitor user journeys, engagement, and conversion metrics Oversee the setup and optimisation of tracking using leading analytics tools like GA4 and GTM Translate complex datasets into clear, actionable insights for marketing, product, and user experience teams Partner with tech teams … internal stakeholders to make informed, data-led choices Ideal Candidate: Hands-on experience with GA4 and Google Tag Manager implementation Confident working with large datasets; experience with cloud-based analytics tools such as BigQuery is valuable Proven ability to deliver analytical solutions in ecommerce or retail-focused environments Comfortable presenting data findings to both technical and non-technical audiences Understands More ❯

and analytics. Stakeholder Engagement: Ability to pro actively engage with internal teams and translate business needs. Mentoring & Team Development: Skills to guide junior team members and build a cohesive analytics unit. Data Quality & Governance: Ensuring data accuracy and implementing robust processes. Technical Troubleshooting: Ability to swiftly resolve technical issues. Documentation: Comprehensive documentation of data architecture and reporting processes. Analytical & Problem More ❯

this fantastic opportunity to own the AI Product Management patch for an incredibly innovative and effective AI/ML Customer Experience SaaS scale-up. The Company AI MarTech, CX & Analytics SaaS $100m in funding from top investors Circa 700 employees - global offices 75% managers promoted from within Meta, Shopify, Snowflake partners The Role Own the AI/ML product patch More ❯

insurance on a Data Engineer position. Reporting to the Group Lead Data Engineering, the role focuses on developing and maintaining strategic data platforms, especially Data Lakehouse, to enhance underwriting analytics and business insights. Key requirements Hands on experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks High proficiency in SQL and Python Insurance background If More ❯