1 to 25 of 230 Analytics Jobs in the City of London

Lead Analytics Engineer/Senior Data Contractor London/Hybrid | Contract | SaaS/Product-Led Environment I am currently supporting a fast-growing SaaS business with an urgent requirement for an experienced Lead Analytics Engineer/Senior Data Contractor to help drive and stabilise their analytics capability. This … highly hands-on role, ideal for someone who enjoys working across data engineering, analytics, and commercial insight , with strong exposure to modern cloud data stacks and stakeholder-facing delivery. You will be joining a fast-paced environment where data is central to product, commercial, finance, and leadership decision-making. ...

banking business. The role centres on building robust data pipelines, owning the data warehouse architecture, and ensuring high quality data to power reporting, analytics and insights. Must have a strong understanding of Front Office Trading and Front Office Data. Responsibilities: Lead the design, build and optimisation of the enterprise data ...

processes throughout pipelines. Collaborate with platform and infrastructure teams on security, access control, and secrets management. Required Qualifications: 5+ years' experience in data engineering, analytics engineering, or backend engineering with strong ownership of data pipelines. Proven experience in stakeholder-heavy environments, working cross-functionally. Strong communication skills, with the ability ...

Engineer, you’ll sit close to the trading desks, designing and running the data pipelines, APIs and storage layers that power systematic strategies, intraday analytics and risk management. You’ll collaborate with traders, quants and data scientists to deliver high‐quality, low‐latency data into cloud‐native environments, with ...

will be unable to work at home 100% of the time. Your Role: Perform data cleaning, transformation, and feature engineering to support ML and analytics use cases. Build and optimize data pipelines and automated workflows using Python, Scala, PySpark, and relevant ML libraries. Develop and maintain scalable data‐processing systems ...

Analytics Manager Up to £120,000 Fully remote, UK-based We’re partnering with a high-growth online gambling business that’s scaling its data and analytics capability following significant funding. They’re looking for an Analytics Manager to take ownership of analytics across the business, sitting alongside a dedicated … engineering function. This is a hands-on leadership role with real influence over how data drives commercial decisions. The role You’ll lead analytics end to end, balancing stakeholder partnership with technical delivery. Own and lead analytics across the business Deliver insight, reporting, and BI with a hands-on technical ...

growth. As part of your responsibilities, you will: Lead small and large multidisciplinary engagement and manage client relationship Design and develop quantitative models and analytics tools (e.g. derivatives pricing, market data methodologies, XVA, capital models, market and counterparty credit risk modelling) Provide thought leadership in quantitative methodologies, pricing techniques, risk ...

failure handling, and recovery mechanisms. Integrate AI/ML features to boost reliability, anomaly detection, and operational efficiency. Collaborate closely with Data Product teams, Analytics Engineering, and Data Science to deliver production-grade data solutions. Ensure pipelines are production-ready, well-documented, and ready for business-as-usual handover. Required ...

pipelines — from design through deployment Collaborate with product owners, analysts, and architects to clarify requirements and priorities Stakeholder & Communication Engage with business and analytics stakeholders to understand data needs and translate them into technical solutions Clearly communicate technical designs and trade-offs to both technical and non-technical audiences Escalate ...

will migrate to Supabase workers. • Sales Nav scraping: Manage the automated scraping of LinkedIn Sales Navigator for lead discovery and the connections-of signal. • Analytics: Build closed-loop reporting: which signals, channels, and segments drive qualified meetings and revenue. What You Will NOT Own: • Product engineering: Loctax has a separate ...

legacy/desktop use cases; UiPath/Automation Anywhere exposure a plus. ScriptingPowerShelland/orPythonfor utilities, data prep and connectors. Power BI for light analytics/telemetry visualisation. Test automation (unit, integration, contract tests) and chaos/latency testing for agents. Basic front-end skills for internal tools (e.g., Fluent ...

Analytics Engineer London, hybrid working. Salary up to £66,000 depending on experience. This is an exciting opportunity to play a key role in shaping a modern data ecosystem for a forward‐thinking organisation. You will help transform complex data into clear, accessible and high‐quality datasets that enable better … reporting, analytics, digital tools and emerging AI initiatives. The Company They are a global, design‐driven organisation investing heavily in their data capabilities to enhance decision making, project delivery and innovation. With a strong focus on digital transformation, they are building a modern data platform that supports both creative ...

Airflow, Prefect, or equivalent; reliability-first mindset including backfill, retry, and exactly-once semantics * Azure data platform - Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage; infrastructure as code for data workloads (Terraform or Bicep) * Databricks - Delta Lake, Unity Catalog, job cluster vs interactive cluster trade-offs ...

disciplinary teams and budgets. Technical expertise: Deep technical knowledge of the entire data science lifecycle, including data engineering, machine learning, and MLOps. Programming and analytics: Proficiency in programming languages such as Python, R, or SQL, and experience with various data science and machine learning libraries. Experience with libraries/frameworks ...

tech, and helping shape how data flows through everything they build. What You’ll Do Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible ...

Innovation (Power Platform, Azure DevOps) Azure Cloud Automation & Infrastructure Modernisation (Azure, Infrastructure as Code, Azure Arc, Azure VMware Solution) Microsoft Fabric for unified data analytics (Purview, Fabric, OneLake, PowerBI) Fortinet SASE & Security for secure, scalable networking (NextGen Firewalls, SDWAN, ZTNA) Key Responsibilities: Acquire and then grow a portfolio ...

cloud-native, API-first architectures Key skills Cloud engineering (Azure, Kubernetes, serverless, DevOps) Python and relational databases (SQL) Data platforms, ETL/ELT, and analytics AI tools and LLM integrations (e.g. GPT, Claude, Gemini) Security, governance, and regulated environment experience Why this team? Work in a high-performing, cooperative team ...

most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud platforms (ideally AWS) and cloud ...

public sector Strong understanding of the public sector landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building ...

depth reviews of complex fraud cases to identify trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk. Analytics: Use your SQL and Python skills to increase our customers’ fraud capture while reducing false positives, conducting offline analysis of customer data to expose patterns ...

Software Developer play a critical part in advancing the digital capabilities of our engineering and consultancy services. This hybrid role combines advanced data analytics with software development to support the digital transformation of our workflows, project delivery, and performance modelling across the built environment. Working closely with engineering, digital design … Responsibilities Key responsibilities of the role In addition to the core technology listed above, this role will involve: Designing and implementing data pipelines and analytics dashboards to support project performance, sustainability metrics, and digital design workflows. Developing and maintaining custom software tools and plugins that integrate with AEC platforms (e.g. ...

Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London. Job Description Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London. Salary: £55,000 - £65,000 per annum Overview At Reed.co.uk, we believe the world should Love Mondays. … looking for an Analytics Engineer to help scale our modern data platform and enable high-quality, self-serve analytics across the business. You’ll partner with Commercial and Marketing teams to deliver reliable, impactful data solutions, owning key datasets and driving better decision-making. What success looks like in this ...

lookout for a Data Scientist who brings genuine depth in both data engineering and visualisation. You'll be joining a growing Data & Analytics team and stepping into a role that spans the full data journey - from architecting robust pipelines to turning complex datasets into insights that people actually act on. ...

bring structure to ambiguity and manage multiple priorities Confidence working with senior stakeholders Excellent communication and reporting skills Nice to Have Exposure to data, analytics, or technology programmes Experience with tools like Excel, Power BI, or project management platforms Certifications (PRINCE2, Agile, etc.) The Environment Work alongside Senior Architects, Data ...

Leadership of data engineering capability, including integrations, pipelines, and reporting Oversight of data flows into and out of Snowflake and support for BI and analytics Acting as the senior data representative across transformation programmes and governance forums Line management, development, and performance management of the Data team Key Skills & Experience ...