126 to 150 of 190 Analytics Jobs in the City of London

Business Development Representative - SaaS Green Ops/Cloud Spend Analytics Up to £50k base + 50% OTE x2 days in the London office The Company With large companies now being very aware of sustainability around cloud and servers - an industry that is taking up large amount of resources including energy ...

EMEA region and is based in London/the South-East. The company is a fast-growing enterprise SaaS provider specialising in network observability, analytics, and digital experience. Its platform helps large global organisations optimise collaboration tools, improve user experience, and proactively manage network performance. This is a newly created ...

Solid understanding of LAN/WAN topologies, network performance management and security infrastructure Exposure to cloud, virtualisation, SDN/NFV and enterprise monitoring or analytics tools Remote, home-based role with regular UK travel (typically 34 days per week to client sites). Preference for candidates based in Central ...

design, build, and operate scalable, reliable data pipelines and data infrastructure. Your work will ensure high-quality data is accessible, trusted, and ready for analytics and data science - powering business insights and decision-making across the company. What youll do Build and maintain data pipelines for ingestion, transformation, and export … data architecture to meet business and performance requirements Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics Implement best practices for data quality, testing, monitoring, lineage, and reliability Optimise workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimisation, partitioning ...

Data Infrastructure and Engineering Work with engineers to design and maintain pipelines for market data, weather feeds, asset data, and settlement information. Implement scalable analytics environments and deploy models into production. Product and Cross‐Functional Collaboration Translate modelling outputs into dashboards, APIs, scoring engines, and product features. Provide input into … product strategy based on model performance and market trends. Communicate insights clearly to non‐technical stakeholders. Market and Commercial Analytics Analyse energy market signals, PPA structures, pricing models, and regulatory factors. Develop intelligence around imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency ...

trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London … process large datasets from multiple sources, including real-time market data and fundamental data. Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers. Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner 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 … within Data Engineering before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies Experience with implementing and optimising scalable cloud infrastructure is highly valued Backlog management:Demonstrated ...

controls Define data quality frameworks reference data management and issue management Ensure MDM integration into analytical and operational use cases Business Intelligence and Analytics Enablement Define enterprise BI and semantic layer architecture Set standards for KPI metric definition and reuse across the organisation Enable advanced analytics and data science consumption ...

+ Power BI reporting environment Define future data strategy, governance and best practices Partner with stakeholders across Retail, Operations and Finance Support future advanced analytics/ML initiatives where relevant What They’re Looking For Strong data platform management & reporting experience Power BI dashboard development Solid SQL skills Experience deploying … maintaining reporting solutions Interest in building predictive or advanced analytics solutions Power BI is essential. Tableau experience is fine if you’re happy to transition. Cloud (AWS/Azure) experience is helpful but not required. Team & Environment Small, collaborative data/apps team High ownership and visibility Direct exposure ...

fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with … Accenture’s global scale. Work on mission-critical projects across government, defence, health, and commercial sectors. Gain hands-on experience in AI, advanced analytics, and Palantir technologies. Shape the future of data-driven decision-making while building your own career story. Thrive in a culture that values innovation, collaboration ...

indicators. Automate client-ready reporting and insight generation across multiple accounts and channels. Apply AI and machine learning tools (e.g. Python, modern ML frameworks, analytics tooling) pragmatically to deliver value quickly rather than experimental outputs. AI-Driven Resource Management & Agency Operations Design AI-enabled systems to improve resourcing decisions across … velocity, utilisation, and gross margin. Balance innovation with delivery discipline in a fast-moving agency environment. Leadership & Team Enablement Lead and mentor internal data, analytics, and marketing operations teams. Build strong collaboration between AI specialists, marketing ops, creative teams, and client leads. Raise AI capability across the agency through coaching ...

ownership of internal systems that underpin: Projects, delivery, timesheeting, and forecasting. CRM and pipeline management. Finance, billing, and revenue recognition. Reporting, analytics, and management insight. Accountability for both: The individual tools themselves. The data model and integrations that connect them into a coherent operating platform. Key expectations: Improve data consistency … Experience working with business-critical systems and data, ideally spanning finance, sales, and operations. Hands-on exposure to ERP, finance, CRM, project management, or analytics platforms, with the ability to understand how they fit together end-to-end. Familiarity with tools such as NetSuite, CCH Tagetik, CRM systems, reporting/ ...

Candidates should expect frequent travel to London, as well as travel to clients globally. Job Description As the company’s VP of Product Data & Analytics, you will be driving the vision, strategy, and value clients are getting from their Utility Data Model (UDM). This is a global, high-impact … governance, and quality standards, and driving the product’s adoption. Own strategy and roadmap for ‘AI-on-UDM,’ enabling teams and clients to build analytics and AI products on the company’s data model. Oversee the product manager and analytics teams, with a focus on providing insights as a client ...

Position - Enterprise Partner Sales - New Business(Data Analytics/AI/EPM) Location - UK (preferably London/South-East; open to other major UK hubs) Experience - 15+ Years Role Overview Polestar Analytics is seeking a UK-based Enterprise Sales professional to drive net-new business for our Data, AI & Enterprise … role requires strong new-business development capabilities, deep partner-led selling experience, and the ability to engage senior stakeholders to position high-value analytics and AI-led transformation initiatives. Key Responsibilities Drive new-logo acquisition and net-new revenue in Data, AI & Analytics for an assigned European geography ...

fintech in their search for a hands-on Python Data Engineer to help build and improve the data infrastructure powering a unified data + analytics API for financial markets participants. You’ll sit in a engineering/analytics team and take ownership of pipelines end-to-end — from onboarding … improve reliability (they use Temporal — similar orchestration experience is fine) ✅ Improve data integrity and visibility: validations, automated checks, backfills, monitoring/alerting 📊 Support downstream analytics and client-facing outputs (dashboards/PDF/Plotly — least important) What’s in it for you? 📌 Modern data stack – DuckDB/Polars + Parquet ...

Head of Engineering/VP of Engineering I’m working with a fast-growing AI company at the forefront of real-time market intelligence, supporting some of the world’s leading financial institutions. They’re ...

office) We’re delighted to be partnering exclusively with a global Food & Beverage organisation on their search for a Head of Data & Analytics Engineering. This is a pivotal leadership hire for an award-winning group that’s investing heavily in its data platform and analytics foundations, and is looking … high-performing engineering team in a modern, cloud-based environment. What you can expect A senior, high-autonomy role with ownership of the Data & Analytics Engineering vision and roadmap, underpinning BI, analytics, and AI across the business. Responsibility for shaping and delivering the data hydration strategy, building scalable data pipelines ...

direction across the whole organisation. Highly influential role combining leadership, insight and senior client engagement. Join a business modernising and growing. As the Data Analytics & Insight Lead, you’ll create, own and elevate how insight is delivered across a data-rich organisation. You will lead a talented team, guide analytical … executive-level clients, strategic products and a modernising data platform designed to scale. What's next? If you’re interested in the Data Analytics & Insight Lead position, please apply with your CV and we’ll get back to you as soon as possible ...

Foundry , Azure AI Document Intelligence, Azure Data Factory, Azure ML Service, Azure Data bricks, Azure Key Vault, Azure BLOB Storage Account, Azure Log Analytics, Synapse Analytics, Azure DevOps . You should have hands-on experience in Deep knowledge of LLMs (prompting, system prompts, grounding, evaluation), embeddings , and RAG design (index ...

future reporting needs across the wider finance function. Key responsibilities will include: Finance Systems Design; build, and maintain financial and operational reports using Oracle Analytics Cloud (OAC), Oracle BI, and Smart View, based on user requirements. Deliver ad-hoc reporting and analysis to support the Finance Team's decision-making … skills required: Solid SQL skills for querying, analysing, and troubleshooting data within Fusion, ADW or similar data databases/warehouses. Strong proficiency in Oracle Analytics Cloud (OAC) for report building, dashboards, and data modelling. Hands-on experience with Oracle BI/OTBI including subject area analysis and custom report creation. ...

future reporting needs across the wider finance function. Key responsibilities will include: Finance Systems Design; build, and maintain financial and operational reports using Oracle Analytics Cloud (OAC), Oracle BI, and Smart View, based on user requirements. Deliver ad-hoc reporting and analysis to support the Finance Team's decision-making … skills required: Solid SQL skills for querying, analysing, and troubleshooting data within Fusion, ADW or similar data databases/warehouses. Strong proficiency in Oracle Analytics Cloud (OAC) for report building, dashboards, and data modelling. Hands-on experience with Oracle BI/OTBI including subject area analysis and custom report creation. ...

with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science … visualization and communication skills , with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines ...

you. This company is focused on developing a new betting platform, alongside cutting-edge sports equipment, that play a key part in feeding back analytics, for athlete welfare and live betting odds. They offer a fast-paced environment where you can shape the technical future and join at an exciting … secure a role in a fast-paced, hands-on environment. You will have the chance to shape the future of a real-time analytics betting platform, while benefiting from a hybrid working model and a culture that values initiative, adaptability, and continuous learning. The Role: Full lifecycle development from requirements ...

into a highly visible, centrally positioned front-office role. This is a discreet search, driven by the continued expansion of the firm’s quantitative analytics platforms across asset classes and trading styles. The role sits within a central quantitative analytics group that partners closely with trading, quantitative modelling, and engineering … single vertical or volume of code written. The scope includes ownership and evolution of several front-office quantitative platforms, including: Risk and P&L analytics used by discretionary trading teams User-facing trading and analytics tools Core quantitative libraries and their integration into live systems New AI-enabled analytics ...

data engineering work where required this role retains a strong technical component Build and evolve high-quality data products that directly support reporting, analytics, and strategic decision-making Required 10+ years experience in data engineering, analytics engineering, or equivalent roles A strong hands-on background building modern data platforms ...