18 of 18 Data Extraction Jobs in the City of London

Data Analyst Are you passionate about turning data into clear, actionable insights? Do you enjoy working with a variety of tools to solve business challenges? Ready to join a leading retailer where your work will make a tangible impact? MacGregor Black is partnering with a Leading Retailer on the search for a Data Analyst . This is … a hybrid role based in the London area. As Data Analyst , you will be responsible for delivering data-driven insights across a wide range of datasets. Using tools such as Databricks, Tableau, Looker Studio, Amplitude, and DBT, you will extract, transform, and analyse data to support key business functions. You will collaborate closely with stakeholders to understand … their data needs, generate reports, and provide actionable insights that influence business decisions. Your remit will include analysing sales, customer, marketing, and operational data, as well as supporting digital analytics when required. Key Responsibilities: Data Extraction & Analysis Write SQL queries in Databricks. Support stakeholders with key business questions. Handle ad-hoc and recurring data requests. More ❯

Fraud Data Analyst Fraud Data Analyst We are seeking an experienced Fraud Data Analyst to support the detection, analysis, and prevention of fraud across card and wire payment channels. This role plays a vital part in a dynamic compliance and risk function, using advanced data techniques to help protect customers and the integrity of payment systems. … and detection models to improve efficiency Conduct root-cause analysis of false positives to fine-tune detection strategies Ensure all fraud-related processes remain compliant with current financial regulations Data Analysis and Reporting Extract and analyse large volumes of transactional data using SQL and Python Build and maintain dashboards and reports that highlight fraud trends and KPIs Improve … access to fraud data through collaboration with engineering and data teams Present complex data findings to stakeholders in a clear and actionable manner Model Development Create predictive models and apply machine learning techniques to identify fraud risks Continuously evaluate and enhance fraud models to maintain detection accuracy Maintain clear documentation of methodology for use across both technical More ❯

Data Analyst - London - Hybrid - £50k - £55k My client are looking for an experienced end-to-end Data Analyst to join their expanding analytics and reporting function. This role requires an individual who is an expert in Data modelling, transformation, and analytics. This role also requires collaboration with stakeholders, cross-functional teams and clear and concise communication skills. … a day off on your birthday Pension plan Training and development opportunities-comprehensive skills-based training And many more Role and Responsibilities Design, development, and maintenance of scalable, efficient data models using SQL, ADF, Synapse, Databricks and Power BI. Collaboration within the data team to understand requirements and design and build models that support business requirements Support the … data team through data extraction, transformation, and loading (ETL) to provide efficient data access solutions. Monitor and troubleshoot data models, identifying and resolving any performance issues and proactively working on measures to maintain data availability and reliability. Long-term willingness to contribute to developing the analytics function for data science readiness. What do More ❯

GCP Data Analyst - Looker ML + BigQuery + Dashboard Experience Location: Heathrow ( Hybrid 2 X Week Onsite ) Rate: £550 Inside IR35 We are seeking a talented Data Analyst with expertise in utilising Google BigQuery and Google Cloud Platform (GCP) for data analysis and insights generation. The ideal candidate should have a strong analytical mindset, proficiency in dashboards … querying and manipulating large datasets, and the ability to translate complex data into actionable insights that drive business decisions. Candidate Specification What you’ll bring Proven experience as a Data Analyst, with a focus on utilising GCP services and BigQuery for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable insights from complex data sets. Experience with programming languages More ❯

Senior Data & Analytics Consultant - Tech For Good - Up to £70k + Bonus Location: London - Hybrid | Some on-site client travel required Use Data to Drive Social Impact and Transform Public Services This scaling tech for good are on a mission to reduce societal inequality by helping local authorities use data more effectively. Their AI-driven platform empowers … to prevent complex issues like homelessness or children being taken into care — before they happen. Looking to grow by 30% this year they are looking to hire multiple Senior Data & Analytics Consultants to join the team. The Role As a Senior Data & Analytics Consultant, you will be a key member of the Data & Analytics Consulting team, responsible … for the technical configuration and deployment of the platform. Working directly with clients to deliver seamless software implementation, data extraction, data engineering, data science, product configuration, and data visualisation. You will independently manage all technical aspects of client deployments and support clients throughout the process. Collaboration is essential — you will work closely with Business Consultants More ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes More ❯

Passionate About Data and Digital Entertainment? Do you get excited by the idea of using data to shape dynamic digital experiences? Are you looking to deepen your career in a fast-paced, constantly evolving online entertainment environment? If so, this Product Analyst role with our client in the iGaming sector could be your next great move. 🎮 The Opportunity … with a focus on innovation, engagement, and digital excellence. As a Product Analyst, you will play a key role in refining customer journeys, optimising digital products, and supporting a data-driven approach to player engagement and lifecycle strategies. You will work with cross-functional teams to identify opportunities, run experiments, and provide the insights that power smarter decisions in … a regulated, performance-driven environment. 🧠 Why This Role is Great Shape Player Journeys: Use data to identify friction points and optimise every stage of the digital user experience Enhance Product Performance: Collaborate on A/B tests and feature evaluations to drive engagement and retention Deliver Actionable Insights: Build dashboards and reports that bring clarity to performance across products More ❯

the Business Control team during Audit (Typical example: find out a list of invoices, save them, tag them with the correct audit ID number OR analysis of large SAP data exports to find out specific items requested by auditors) Monthly: Create reports based on SAP data, to support finance business partners to follow up and analyse connection fee … partners during reporting by preparing parallel reports (info coming from the monthly reporting pack) to have the legal reporting ready, . Monthly: support the regions in transforming and populating data for the forecast in our PowerBI tool (Detailed breakdown). Attention to detail is key to ensure the data is aligned with business scorecard Monthly: Collate, input and … own the integrity of the data included in the business scorecard for all of our client's UK Reporting units. Quarterly: Cash forecast - generate SAP reports to support legal entity cash forecasting. Quarterly: Create invoices related to the intercompany recharge between legal entities, thus centralising the invoicing for the business units Build Business Control SAP report suite/guide More ❯

A Bank, based in the City of London, is currently seeking an ETL Developer to help deliver infrastructure data processing solutions for the business. The company is seeking an experienced ETL Application Developer with experience of Extract/Transform/Load, SQL Server and data-processing of infrastructure-sourced capacity metrics. This role is critical to strengthening operational … monitoring is in place to highlight and mitigate potential system outages in a timely fashion to minimise potential disruptions. Key tasks include; Developing scripts, and ETL to obtain such data from the providers and working with a DBA to load this data into SQL Server from an application server. This person will also help normalise raw infrastructure and … monitoring data into structured formats suitable for graphing and trending Other tasks include automating regular data ingestion processing. Key Skills; Demonstrate evidence of working on similar data analysis and capture projects in the financial or other sector of equal complexity. Strong proficiency in one or more ETL tools Strong proficiency in data extraction methods usingRESTful More ❯

the financial industry. Experience in Object-Oriented Programming. C#/C/C++ is preferred, but knowledge of other languages will also be advantageous. Knowledge of application functionality and data management concepts. Excellent communication skills – both written and oral (English). Strong Business Analysis skills are required – including data extraction, analysis and logical problem-solving skills. Self More ❯

About the Role This is a hands-on role focused on applying AI techniques to both geospatial and non-geospatial data, 3D workflows, and internal datasets to drive automation, insights, and new product capabilities. This presents an opportunity to contribute to novel research into developing spatial intelligence models, as well as the practical application of existing cutting edge techniques. … Responsibilities Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions. Collaborate with external AI specialists to deliver larger-scale projects. Explore, clean, and transform large datasets for training, validation, and inference, including geospatial data types. Design, test, and deploy predictive models and recommendation systems into production environments. Identify … and develop opportunities for AI-powered automation and decision-making tools. Contribute to the architecture of intelligent data pipelines that support both internal operations and customer-facing features. Continuously evaluate model performance and apply strategies for tuning, retraining, or improvement. Participate in product and project planning to help prioritize AI-driven initiatives. Mentor team members by sharing ML best More ❯

O specialist with extensive expeirence migrating from legacy to D365 F&O. This is a hybrid role outside IR35 initially for 9 months with a good chance to extend. Data Migration Lead tasked with overseeing the planning, execution, and management of data transfers from legacy systems to Microsoft Dynamics 365. Responsibilities include ensuring data accuracy, consistency, and … compliance with business needs throughout the entire migration lifecycle." Strong understanding of data migration principles and best practices. Experience with data extraction, transformation, and loading (ETL) tools and techniques. Experience in delivering D365F&O and integration using Azure services. Successfully migrated Dynamics 365 F&O multiple times, with proven experience leading data migration from legacy systems More ❯

a pivotal function that will underpin the company’s continued expansion and operational excellence. THE ROLE AND RESPONSIBILITIES: The Operations Analytics Manager will play a critical role in driving data-led improvements across the organisation. The successful candidate will be responsible for: Utilising SQL and Python to extract, transform, and analyse data from a wide range of sources … maintaining robust analytics frameworks to monitor and enhance operational efficiency across multiple business units Collaborating closely with cross-functional teams to understand business requirements and translate them into effective, data-driven solutions Designing and implementing dashboards and reporting tools to visualise key performance indicators (KPIs) and operational metrics Supporting senior leadership in strategic decision-making by presenting clear, insightful … analysis derived from complex data sets YOUR SKILLS AND EXPERIENCE: The ideal candidate will demonstrate: Proven experience in operational analytics or a similar role, with a strong focus on enabling data-driven decisions Advanced proficiency in SQL and Python for data extraction, transformation, and analysis Experience with dbt is desirable but not essential B2B Experience is More ❯

requirements and acceptance criteria. Validate solution implementation across sprint reviews and all testing phases, providing feedback, raising bugs, and ensuring test cases and evidence are captured. Facilitate and perform data reconciliation as required. Support product backlog review, prioritisation, and sizing sessions with business and implementation teams. Refine and manage the product backlog to reflect current priorities and sizing. Assist … years working in Agile Scrum as a Business Analyst or Product Owner. OneStream or similar systems experience, such as Oracle EPM, TM1, Tagetik, Anaplan, Hyperion, SAP BPC Expertise in data extraction and analysis from financial systems. Demonstrable experience in agile delivery methodologies. How do I apply: For more information on this opportunity, please do not hesitate to get More ❯

Oxford Circus (4 days/week, fixed) Looking for a Product Analyst role with real impact — in a fast-moving environment that’s actively transforming how it uses data? We’re hiring for a major UK retail group (think high street staples, luxury fashion, and gaming ) that’s investing heavily in its analytics capabilities. With a powerhouse portfolio of … HQ (above a flagship store), you’ll be part of a growing, well-supported analytics function that’s only 18 months into its rebuild — with leadership that truly values data-driven decisions. 🔍 The Role Sitting in the Product Analytics pillar, you’ll be responsible for understanding digital customer journeys and helping the business optimise on-site experiences across a … to-Day Analyse and improve on-site user journeys , flows, and conversion paths Support and interpret A/B tests , experiments, and product changes Deep-dive into digital behaviour data to highlight performance and opportunities Collaborate with GTM and tracking teams to ensure accurate data collection Present insight to Product Managers and stakeholders across the business 💡 What They More ❯

Hiring: Data Scientist | London | Hybrid | Insurance Domain We're looking for a talented Data Scientist to join our client in London on a hybrid working basis. If you're a technical expert in statistical modelling and machine learning, passionate about turning complex data into actionable insights, this could be the perfect opportunity for you. 💼 Domain: Insurance 💰 Salary … also open to day rate contractors (Inside IR35) What you'll be doing: ● Managing the end-to-end model life cycle ● Building and refining predictive models ● Conducting NLP-based data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques ● Familiarity with AWS … SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If this sounds like you, or someone you know, let’s connect More ❯

of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein binders—using natural language interfaces. In this role, you will architect and deploy intelligent agents that democratize access to cutting-edge tools in synthetic biology, enabling … as Airflow, Prefect, or Temporal. Comfortable working at the intersection of science and engineering, with familiarity in libraries like NumPy, SciPy, and pandas, and experience handling academic literature and data formats. Bonus Qualifications Background in academic research or research software engineering. Experience in scientific automation, document parsing, OCR, and data extraction from research papers. Familiarity with academic More ❯

firm, we are seeking an exceptional Project Manager with expertise in Private Markets Technology to join their global team. Our client is a market-leading provider of AI-powered data extraction, portfolio monitoring, and valuation solutions for the private capital industry. With recent backing from top-tier global investors (including leading investment banks and asset managers), this is … Markets digital transformation. The Opportunity This is a client-facing leadership role, ideal for a consultant with hands-on experience advising top-tier private capital firms on technology and data strategy. The Senior Consultant will lead complex client engagements, driving end-to-end implementation of the platform while advising clients on optimising their technology stack and data architecture. … implementations, acting as both Project Manager and Subject Matter Expert Drive client success through development of best practices, training, and proactive engagement Advise clients on portfolio monitoring, valuation processes, data architecture, and tech stack optimisation Collaborate with product and engineering teams to shape future platform development Deliver high-quality client-facing materials, presentations, and training sessions Continuously enhance client More ❯