51 to 75 of 133 Data Analysis Jobs in the City of London

business in the consumer lending space. They have grown significantly over the past few years and are looking to add a motivated and experienced individual to join their growing data team. This role offers the chance to work end-to-end across a range of credit models in the business and take on a challenging role which will give … you excellent exposure and experience in the credit modelling space. As a Business Developer , you will play a crucial role in analysing, reviewing, and presenting data to highlight trends, identify insights, and support business decision-making. Your primary duties will include producing and enhancing data models, reports, and dashboards, handling large data sets, and engaging with stakeholders … to understand their data and reporting requirements. You will use tools like Power BI, Excel, and SQL to perform data analysis, identify trends, and develop opportunities for more effective data usage within the business. The Business Developer should have: Strong SQL Strong Power BI Some understanding of data warehousing Ideally some interest in AI Experience More ❯

Analyst to join their team. What Will I Be Doing: Transform millions of daily datapoints into actionable commercial insights, analysing EV charging patterns and building revenue-impacting dashboards Crunch data to evaluate new geographical markets and expansion opportunities, conducting commercial analysis to identify high-value segments Leverage SQL and Python to extract insights from complex energy datasets, creating … visualisations that communicate technical findings to drive business decisions What We're Looking For: Proficiency in SQL and Python for data analysis Experience with data visualisation tools and dashboard creation Comfort working with large, complex datasets Strong analytical mindset with ability to translate data into business strategy Experience in market analysis, expansion planning, or commercial … analytics Thrives in fast-moving, high-ownership environments What's In It For Me: Salary of £45,000-£70,000 plus significant equity stake Your analysis will directly drive real-world energy optimisation Be part of the solution to decarbonize the electricity grid Apply now for immediate consideration More ❯

a technology workstream within a large-scale transformation programme. The role involves working closely with external vendors and internal stakeholders to upgrade a legacy performance attribution system and improve data flows. Key Responsibilities: Lead technology delivery across analysis, design, development, and testing. Collaborate with external vendors and internal teams. Conduct detailed data analysis and embed data … and visual artefacts to support solution design. Requirements: Experience with Factset B-One or similar performance calculation engines. Strong understanding of investment products and portfolio performance. Advanced SQL and data modelling skills. Proven business analysis experience across diverse systems and teams. Excellent stakeholder communication and presentation ski More ❯

Paxus architecture with 6+ years in enterprise AI solutions Design end-to-end AI solutions for private equity fund operations and financial automation Strong working knowledge of Sage Intacct data structures, APIs, chart of accounts, reporting hierarchies, and journal logic. Experience performing data mapping and reconciliation between Intacct and Paxus other financial systems Understanding of fund accounting concepts … capital calls, distributions, management fees, unrealized gains/losses, investor-level accounting). Ability to extract and analyze Intacct reports, exports, or API-based data to derive insights. Strong documentation and analytical skills – process maps, data lineage, and data dictionary creation. Proven ability to work with both technical and accounting teams, translating between system data and … business meaning. Proficiency in Excel, SQL basics, or BI tools for data analysis and validation preferred. Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services Strong background in Python, distributed systems, and enterprise architecture Knowledge in Claude Code for agentic coding and AI-powered development. More ❯

Paxus architecture with 6+ years in enterprise AI solutions • Design end-to-end AI solutions for private equity fund operations and financial automation • Strong working knowledge of Sage Intacct data structures, APIs, chart of accounts, reporting hierarchies, and journal logic. • Experience performing data mapping and reconciliation between Intacct and Paxus other financial systems • Understanding of fund accounting concepts … capital calls, distributions, management fees, unrealized gains/losses, investor-level accounting). • Ability to extract and analyze Intacct reports, exports, or API-based data to derive insights. • Strong documentation and analytical skills – process maps, data lineage, and data dictionary creation. • Proven ability to work with both technical and accounting teams, translating between system data and … business meaning. • Proficiency in Excel, SQL basics, or BI tools for data analysis and validation preferred. • Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services • Strong background in Python, distributed systems, and enterprise architecture • Knowledge in Claude Code for agentic coding and AI-powered development. More ❯

Paxus architecture with 6+ years in enterprise AI solutions • Design end-to-end AI solutions for private equity fund operations and financial automation • Strong working knowledge of Sage Intacct data structures, APIs, chart of accounts, reporting hierarchies, and journal logic. • Experience performing data mapping and reconciliation between Intacct and Paxus other financial systems • Understanding of fund accounting concepts … capital calls, distributions, management fees, unrealized gains/losses, investor-level accounting). • Ability to extract and analyze Intacct reports, exports, or API-based data to derive insights. • Strong documentation and analytical skills – process maps, data lineage, and data dictionary creation. • Proven ability to work with both technical and accounting teams, translating between system data and … business meaning. • Proficiency in Excel, SQL basics, or BI tools for data analysis and validation preferred. • Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services • Strong background in Python, distributed systems, and enterprise architecture • Knowledge in Claude Code for agentic coding and AI-powered development. Employment type:- Inside IR35 Contract. It More ❯

My leading Investment Bank client are looking for a talented and motivated individual to lead the data management activities for the organisation. You'll be responsible for delivering the data governance Market Data stream, and coordinating business and technology staff for applying the new data management framework in all change and BAU activities in the respective … Data Domain. You'll face off to Front Office business and technology stakeholders in this high profile position. This is a newly created position in a high growth company. A brilliant opportunity! The following skills/experience is required: Strong Market Data experience Previously worked in Financial Services Capital Markets business knowledge Good technical data analysis … SQL Server Excellent communication and stakeholder management skills Salary: Excellent + bonus + package Location: London (good work from home options available) If you are interested in this Market Data Lead position and meet the above requirements please apply immediately. More ❯

My leading Investment Bank client are looking for a talented and motivated individual to lead the data management activities for the organisation. You'll be responsible for delivering the data governance Market Data stream, and coordinating business and technology staff for applying the new data management framework in all change and BAU activities in the respective … Data Domain. You'll face off to Front Office business and technology stakeholders in this high profile position. This is a newly created position in a high growth company. A brilliant opportunity! The following skills/experience is required: Strong Market Data experience Previously worked in Financial Services Capital Markets business knowledge Good technical data analysis … SQL Server Excellent communication and stakeholder management skills Salary: Excellent + bonus + package Location: London (good work from home options available) If you are interested in this Market Data Lead position and meet the above requirements please apply immediately. More ❯

will be instrumental in enhancing customer engagement, delivering personalised communication strategies, and driving significant revenue growth. Key Responsibilities The role combines customer journey planning and email campaign execution with data-driven reporting, lead conversion analysis, and strategic insights from Salesforce data to optimise engagement and revenue. Essential Skills Salesforce Marketing Cloud Expertise: SQL and AMPscript Journey Builder … Mastery: Expertise in designing and managing intricate email journeys is crucial. This includes audience segmentation, automation, and ensuring a personalised approach to customer communication. Data Analysis Proficiency: A solid grasp of data visualisation tools such as Power BI, Tableau, or Excel Offered: Up to £70,000 per annum Flexible remote working 10% annual bonus BUPA healthcare Travel More ❯

We’re supporting a top-performing investment firm as they look to grow their data and technology team. This is a rare opportunity to work directly with the Head of Data and senior leadership, shaping the future of analytics and tooling at a boutique fund managing over £1bn AUM. My client has a preference for Data Engineers … working at a consultancy, onsite across Financial Services (PWC, Accenture, Deloitte, or EY). What Makes This Special Be the first internal hire focused on technology and data — full ownership and visibility. Partner directly with the COO and investment team to transform internal research and reporting workflows. Broad exposure across investments, operations, compliance, and sales. Significant runway for career … historical models and research notes. Develop dashboards and visualisation tools to support fund managers, client reporting, and internal stakeholders. Work with senior leadership to identify automation opportunities and solve data workflow challenges. Manage third-party vendors and consultants; oversee outsourced builds as needed. Core Skill Requirements Power BI : Strong experience building dashboards and data models. SQL : Comfortable writing More ❯

Senior Customer Insight & Data Manager London, UK | 🕒 Full-time | Salary - 60,000 - 70,000 plus bonus Be the voice of the customer. Drive customer-led growth. Shape the future of customer experience. We’re looking for a strategic and hands-on Senior Customer Insight & Data Manager to lead a customer-first transformation. You’ll champion the voice of … the guest across every decision, harness CRM and loyalty data, and turn insight into action that fuels growth. You’ll lead a team of two and own all customer data and insight touchpoints — from qualitative research to advanced analytics — distilling complex data into compelling stories that influence stakeholders across the business. What You’ll Do Lead and … develop the customer insight team to deliver actionable insights Own Bloomreach data analysis to power CRM and loyalty strategies Drive segmentation, event tracking, and workflow integrations Champion experimentation: A/B testing, regression, CLV, churn prediction Lead brand health tracking and competitor analysis Create guest avatars and embed segmentation across the business Design and deliver ad hoc More ❯

department. Working closely with the Director of Residential Sales and the Technology team, you will ensure the smooth operation of Salesforce (Sales and Marketing Cloud), drive user enablement, maintain data accuracy, and support compliance with GDPR and other regulations. This is an exciting opportunity for a detail-oriented, technically proficient Salesforce professional who enjoys problem-solving, collaboration, and working … in a fast-paced property sales environment. Key Responsibilities Salesforce Administration & Support Manage day-to-day Salesforce administration, including user setup, permissions, profiles, and data integrity. Maintain and improve system configurations, workflows, validation rules, and custom objects to support the Residential Sales team. Collaborate with stakeholders to capture new requirements and deliver effective solutions in partnership with the Technology … Analytics Build and maintain dashboards and reports for internal and external stakeholders. Ensure reporting outputs are accurate, consistent, and aligned with business needs. Respond to ad hoc reporting and data analysis requests. Invoicing & Financial Coordination Support invoicing workflows and data management through Salesforce. Partner with the Finance team to ensure accurate billing, reconciliation, and record-keeping. Email More ❯

Project Manager (Wholesale Lending) - £500 Per Day – London (Hybrid) – Banking Overview: A leading organisation in the banking sector is seeking an experienced Data Migration Lead to manage the migration of data from the existing ACBS platform to Loan IQ, ensuring operational readiness and high data quality throughout the transformation. Role & Responsibilities: Lead a Migration Pod, overseeing testing … reconciliation, and go-live activities. Collaborate with Wholesale Lending and Technology teams to ensure accurate and aligned data and processes. Manage stakeholder engagement, approvals, and operational readiness for system changes. Drive process improvement, automation, and data quality initiatives. Support BAU implementation, provide on-site guidance, and co-manage offshore deliverables. Prepare and present reports and presentations to global … stakeholders. Technical Requirements: Strong knowledge of data migration, reconciliation, and loan management systems (ACBS, Loan IQ). Experience with test migrations, dry runs, and data validation. Proven stakeholder management and cross-functional collaboration skills. Skilled in data analysis and presentation tools (Excel, Power BI, or similar). Ability to drive operational readiness, process improvement, and change More ❯

My leading Banking client are looking for a talented and motivated individual to be at the forefront of data management and AI governance for their Capital Markets business. You'll drive the governance of AI solutions, and quality and strategic use of data for Global Equities and Cross Asset Derivatives. The role will work closely with the Front … Office business and technology stakeholders, and play a key role in shaping data-driven decision-making. This is a newly created role in an extremely interesting space. A brilliant opportunity! The following skills/experience is required: Previously worked in Financial Services Capital Markets business knowledge (Derivatives) Good understanding of Data Governance Good technical data analysis … and stakeholder management skills Salary: Up to £90,000 + bonus + package Location: London (good work from home options available) If you are interested in this Technical Business & Data Analyst position and meet the above requirements please apply immediately. More ❯

complex, enterprise-scale systems. Role & Responsibilities: Lead the design and delivery of enterprise applications and reporting systems Develop tools for dashboards, analytics, and operational monitoring Build and maintain APIs, data pipelines, and automation for business processes Implement scalable solutions to improve operational efficiency and data quality Enhance and integrate commercial off-the-shelf (COTS) platforms where required Collaborate … test automation, and Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £100,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits More ❯

complex, enterprise-scale systems. Role & Responsibilities: Lead the design and delivery of enterprise applications and reporting systems Develop tools for dashboards, analytics, and operational monitoring Build and maintain APIs, data pipelines, and automation for business processes Implement scalable solutions to improve operational efficiency and data quality Enhance and integrate commercial off-the-shelf (COTS) platforms where required Collaborate … test automation, and Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £85,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits More ❯

. Their platform coordinates tens of thousands of distributed energy assets to make the grid cleaner, smarter, and more flexible. The Role You’ll sit at the intersection of data, product, and commercial strategy - turning analysis into actionable insights that accelerate user adoption and drive the company’s next stage of growth. What You’ll Do Analyse user … growth levers Build dashboards, experiments, and insights that shape acquisition, activation, and retention Collaborate with product, engineering, and operations to prioritise high-impact initiatives Support strategic decisions with clear, data-backed recommendations What They’re Looking For Strong analytical background - ideally from a top university or rigorous STEM/quant program Experience in data analysis, growth, strategy … or a related area (internships welcome) Comfortable working with data tools (SQL, Python, BI platforms) Curiosity, structured thinking, and a bias for experimentation and problem-solving Why Join Help scale a mission-led company accelerating the energy transition Work across product, data, and commercial strategy High autonomy in a fast-moving, data-driven environment Competitive salary + More ❯

technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in … on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and More ❯

Payroll. Act as a primary point of support for Workday-related queries and issues, managing tickets and tracking resolutions through ServiceNow. Partner with HR and technical teams to maintain data accuracy, evaluate process designs, and assist with testing and quality assurance. Configure and optimise Workday business processes, security settings, and workflows in alignment with evolving business requirements. Conduct regular … audits and system checks to maintain compliance and ensure data reliability. Build and enhance Workday reports and dashboards to provide actionable insights for HR and leadership. Develop training materials, documentation, and job aids, and deliver training sessions to end users. Support the maintenance and troubleshooting of Workday integrations with external vendors and internal systems. Lead or contribute to Workday … least one of the following Workday modules: Absence, Time Tracking, or Payroll. Proficiency in multiple modules is highly desirable but not essential. Solid understanding of HR systems, workflows, and data structures. Strong capability in problem-solving, data analysis, and system troubleshooting. Excellent communication and stakeholder management skills, both written and verbal. High attention to detail with the More ❯

Data Science Manager Up to £85,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: Stay hands-on while advising business leaders on data-driven … decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related More ❯

My leading Banking client are looking for a talented and motivated individual to be at the forefront of data management and AI governance for their Capital Markets business. You'll drive the governance of AI solutions, and quality and strategic use of data for Global Equities and Cross Asset Derivatives. The role will work closely with the Front … Office business and technology stakeholders, and play a key role in shaping data-driven decision-making. This is a newly created role in an extremely interesting space. A brilliant opportunity! The following skills/experience is required: Previously worked in Financial Services Capital Markets business knowledge (Derivatives) Good understanding of Data Governance Good technical data analysis … Excellent communication and stakeholder management skills Salary: Up to £90,000 + bonus + package Location: London (good work from home options available) If you are interested in this Data Governance Analyst position and meet the above requirements please apply immediately. More ❯

BettingJobs are working with an AI-powered B2B marketing company based in London . They are looking for a Data Engineer to join their team. Responsibilities: Analyse raw and messy data Calibrate, deploy and monitor machine learning models Deploy, monitor and manage data pipelines (daily batch jobs as well as real time streaming data) Visualise results … Communicate technical problems and solutions to non-technical team members Optimise the product by continuously tweaking how automated decisions are being made Requirements: Proven experience in applying data analysis and machine learning to real-world problems Proven experience managing production data pipelines Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency in Python and SQL More ❯

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 … 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 AI-driven insights directly into our platform, helping teams ask better questions, identify opportunities faster, and turn delivery data into smarter, more adaptive … . Your mission is to uncover the story behind the numbers: what our customers need, what drives their behaviour, and how we can better serve them. You’ll blend data analysis with customer research to generate deep, actionable insights that shape product strategy. Working closely with Product, Design, and Customer Success, you’ll ensure every feature we build More ❯

our London based global law firm on a 6 month contract. Key Responsibilities Lead the management, optimisation, and continuous improvement of the organisation’s HR system SAP SuccessFactors Ensure data integrity, system stability, and compliance with data security standards Deliver configuration changes, oversee system upgrades, and manage issue resolution Act as the primary contact for external vendors and … system partners, managing contracts and performance Develop and deliver accurate, insightful MI reports and dashboards to support strategic decisions Analyse data trends and provide actionable insights to HR and leadership teams Collaborate with HR, IT, and Finance to gather requirements and deliver system enhancements Provide training and support to HR system users, promoting best practices Identify opportunities to streamline … Maintain documentation, processes, and reporting structures to meet audit standards Key Experience & Skills Proven experience managing HR systems, ideally with exposure to SAP SuccessFactors Strong understanding of HRIS architecture, data flows, and integrations Demonstrated ability to produce meaningful MI and data analysis for HR and leadership Experience leading system implementations, upgrades, or transformation projects Proficiency in reporting More ❯

We are working with a growing consumer finance fintech platform, who are looking to build out their Data and Analytics department. The team, who have recently received backing from a global Investment firm are now building out a Data and Analytics team in London - with a focus on supporting their Unsecured NPL Portfolio Investment team. This role is … ideal for a technically strong, quantitatively minded professional with a background in statistics and data science, looking to apply their skills in financial services. While specific NPL experience is not required, a passion for large-scale data analysis and modern analytics frameworks is essential. You will work in a neo-bank/fintech-style environment, using cutting … edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios. Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives into robust analytical solutions. Build software using modern technology to enable investing and asset More ❯