2,351 to 2,375 of 3,484 Analytics Jobs in London

Data Product Manager Salary: Up to £95,000 + 20% bonus Location: Central London | 2–3 days a week in office Join an ambitious new real estate and property analytics company - driving the development of business intelligence products and leading a growing data team. ROLE AND RESPONSIBILITIES Co-lead the data function, managing a team of 3 engineers (SQL and … the end-to-end product management and development of BI solutions. Work with stakeholders to design, build and maintain scalable data products. Drive best practices for data engineering and analytics workflows. Act as the technical bridge across cloud infrastructure, coding, and visualisation. SKILLS AND EXPERIENCE Required 5–7 years’ experience in small-to-medium companies (under 300 people preferred). More ❯

Data Product Manager Salary: Up to £95,000 + 20% bonus Location: Central London | 2–3 days a week in office Join an ambitious new real estate and property analytics company - driving the development of business intelligence products and leading a growing data team. ROLE AND RESPONSIBILITIES Co-lead the data function, managing a team of 3 engineers (SQL and … the end-to-end product management and development of BI solutions. Work with stakeholders to design, build and maintain scalable data products. Drive best practices for data engineering and analytics workflows. Act as the technical bridge across cloud infrastructure, coding, and visualisation. SKILLS AND EXPERIENCE Required 5–7 years’ experience in small-to-medium companies (under 300 people preferred). More ❯

years continuous UK residency. Data Engineer, Data Platform, Azure, Google Cloud, Airflow, DBT, Medallion, SQL, Python, Data Engineering, Dashboards, Data implementation, CI/CD, Data Pipelines, GCP, Cloud, Data Analytics Are you passionate about building scalable data solutions that drive real business impact? I am looking for a Senior Data Engineer to join a data-driven organisation at the forefront … office once a week. As a Senior Data Engineer, you'll play a key role in designing, developing, cleansing and maintaining robust data pipelines and architectures that support advanced analytics and real-time reporting. The Senior Data Engineer will work on a variety of projects including the implementation of medallion structures for clients in different industries, data migrations and designing … CV to peter.hutchins @ circlerecruitment.com Data Engineer, Data Platform, Azure, Google Cloud, Airflow, DBT, Medallion, SQL, Python, Data Engineering, Dashboards, Data implementation, CI/CD, Data Pipelines, GCP, Cloud, Data Analytics Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer More ❯

PRODUCT ANALYST – LONDON UP TO £90,000 THE COMPANY We’re partnering with a fast-scaling subscription-based business to help them make a key hire within their Product Analytics team. THE ROLE As Lead Product Analyst, you will play a critical role in driving product strategy through data. Your responsibilities will include: Leading the design, implementation, and analysis of … maintaining dashboards and reporting tools to provide real-time visibility into product performance YOUR SKILLS AND EXPERIENCE The ideal Lead Product Analyst will bring: Significant experience in a product analytics role, with deep expertise in A/B testing and experimentation Advanced SQL skills and a strong ability to query and manipulate complex datasets Familiarity with data visualisation tools such More ❯

PRODUCT ANALYST – LONDON UP TO £90,000 THE COMPANY We’re partnering with a fast-scaling subscription-based business to help them make a key hire within their Product Analytics team. THE ROLE As Lead Product Analyst, you will play a critical role in driving product strategy through data. Your responsibilities will include: Leading the design, implementation, and analysis of … maintaining dashboards and reporting tools to provide real-time visibility into product performance YOUR SKILLS AND EXPERIENCE The ideal Lead Product Analyst will bring: Significant experience in a product analytics role, with deep expertise in A/B testing and experimentation Advanced SQL skills and a strong ability to query and manipulate complex datasets Familiarity with data visualisation tools such More ❯

data clean, and our processes efficient. What You’ll Be Doing CRM Management Maintain, enhance, and monitor CRM systems like Bullhorn and HubSpot. Manage integrations with tools like Bullhorn Analytics, Devyce, HubSpot, and our Early Careers platform. Support users across the business to ensure smooth daily operations and accurate reporting. Data Integrity and Maintenance Keep our data clean and consistent … Automate and Bullhorn Automation. Collaborate with stakeholders to streamline processes and reduce manual tasks. Produce detailed KPI reports and dashboards for leadership and teams using Power BI, Excel, and Analytics Dashboards. Integration & Migration Management Support CRM integration with company websites and job boards. Troubleshoot real-time issues affecting marketing and recruitment. Lead CRM migration projects from planning and data mapping … a range of internal and external stakeholders. Tech Stack You’ll Be Working With CRMs: Bullhorn, HubSpot Automation: Microsoft Power Automate, Bullhorn Automation Data & Reporting: Power BI, SQL, Excel, Analytics Dashboards This is a brilliant opportunity to shape how data flows through Kernel and make a real impact across the business. If you’re passionate about systems, data, and collaboration More ❯

data clean, and our processes efficient. What You’ll Be Doing CRM Management Maintain, enhance, and monitor CRM systems like Bullhorn and HubSpot. Manage integrations with tools like Bullhorn Analytics, Devyce, HubSpot, and our Early Careers platform. Support users across the business to ensure smooth daily operations and accurate reporting. Data Integrity and Maintenance Keep our data clean and consistent … Automate and Bullhorn Automation. Collaborate with stakeholders to streamline processes and reduce manual tasks. Produce detailed KPI reports and dashboards for leadership and teams using Power BI, Excel, and Analytics Dashboards. Integration & Migration Management Support CRM integration with company websites and job boards. Troubleshoot real-time issues affecting marketing and recruitment. Lead CRM migration projects from planning and data mapping … a range of internal and external stakeholders. Tech Stack You’ll Be Working With CRMs: Bullhorn, HubSpot Automation: Microsoft Power Automate, Bullhorn Automation Data & Reporting: Power BI, SQL, Excel, Analytics Dashboards This is a brilliant opportunity to shape how data flows through Kernel and make a real impact across the business. If you’re passionate about systems, data, and collaboration More ❯

growth, innovation, and customer-centric decision making. With a strong focus on actionable insights, this company supports a wide range of clients in transforming their marketing strategies through advanced analytics and data science. The Role As a Senior Marketing Data Scientist , you’ll play a critical role in solving complex business challenges through data. From shaping the problem to delivering … data-driven solutions and insights, you'll collaborate closely with clients and internal stakeholders to drive measurable impact. Projects span a range of advanced analytics including propensity modelling, clustering, regression, and forecasting . Key Responsibilities Translate business problems into data science solutions and deliver clear, actionable insights. Collaborate directly with clients, answering key questions and influencing strategy. Work across a More ❯

growth, innovation, and customer-centric decision making. With a strong focus on actionable insights, this company supports a wide range of clients in transforming their marketing strategies through advanced analytics and data science. The Role As a Senior Marketing Data Scientist , you’ll play a critical role in solving complex business challenges through data. From shaping the problem to delivering … data-driven solutions and insights, you'll collaborate closely with clients and internal stakeholders to drive measurable impact. Projects span a range of advanced analytics including propensity modelling, clustering, regression, and forecasting . Key Responsibilities Translate business problems into data science solutions and deliver clear, actionable insights. Collaborate directly with clients, answering key questions and influencing strategy. Work across a More ❯

column_text A Personal Message from Melissa McInerney, CEO Hey, I'm Melissa. At tbk, we don't just deliver "standard" digital work - we build industry-leading SEO and analytics programs that truly move the needle for our clients. As our next SEO Analyst, you'll be on the front lines of that mission. You'll dig into data daily … up budgets. Culture & Perks: Pet-friendly office, team-building events, and mentorship from senior experts. What We Need From You Data-Driven Mindset: You thrive on diving into Google Analytics, Search Console, and third-party platforms to spot trends, diagnose issues, and recommend actionable optimizations Technical SEO Proficiency: Conduct site audits (crawl-analysis, schema, core web vitals), collaborate with developers … On-Page & Off-Page Strategy: Work with content writers to ensure title tags, meta descriptions, and header structures follow best practices; identify link-building opportunities and manage outreach campaigns. Analytics & Reporting: Build custom dashboards (e.g., Google Data Studio, Excel) to track organic KPI's (traffic, rankings, CTR, conversions); present monthly reports and strategic recommendations to the marketing team and clients More ❯

data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. Experience of delivering Data Science models into production at scale, and collaboration with architecture and engineering teams. Proven experience in leading and developing data … science or complex analytics teams. Strong persuading and influencing abilities. Proven experience in managing conflict and articulating coherent rationales for action. Expert ability to manage stakeholder expectations and facilitate discussions across high risk and complexity or under constrained timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a … limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: www.datatech.org.uk More ❯

About us We are a fast-growing team on a mission to reimagine analytics and make data accessible to all. The Count canvas combines the power of data notebooks with the collaborative workflow of digital whiteboards. We're often referred to as the "Figma for data" because of the way Count transforms the way data teams work with the wider … re looking for an exceptional software engineer to help shape Count's next stage of growth. You'll own technical projects at the intersection of software development, data engineering, analytics and DevOps infrastructure, playing a key role in automating and scaling processes that empower every team across the organisation. Your responsibilities will include: Scaling our Go-To-Market (GTM) stack … Work closely with our GTM team to automate our go-to-market activities, by integrating our marketing, sales and finance tools with our CRM and product. Owning Count's analytics : Develop and maintain our core data infrastructure and data models to ensure the marketing, customer success and product teamshave access to meaningful and accurate metrics. Driving operational efficiency via automation More ❯

About us We are a fast-growing team on a mission to reimagine analytics and make data accessible to all. The Count canvas combines the power of data notebooks with the collaborative workflow of digital whiteboards. Were often referred to as the Figma for data because of the way Count transforms the way data teams work with the wider business … do Were looking for an exceptional software engineer to help shape Counts next stage of growth. You'll own technical projects at the intersection of software development, data engineering, analytics and DevOps infrastructure, playing a key role in automating and scaling processes that empower every team across the organisation. Your responsibilities will include: Scaling our Go-To-Market (GTM) stack … Work closely with our GTM team to automate our go-to-market activities, by integrating our marketing, sales and finance tools with our CRM and product. Owning Counts analytics : Develop and maintain our core data infrastructure and data models to ensure the marketing, customer success and product teamshave access to meaningful and accurate metrics. Driving operational efficiency via automation and More ❯

working with clients to enhance our product offerings and grow our emerging quant services. The successful candidate will own the development of market valuation models and incorporate additional predictive analytics components across our web application, to support our growing client base and ensure continued expansion of our value proposition to clients. Key Responsibilities: Lead the design, development, enhancement, and maintenance … model features, data pipelines, and analytical tools. Ensure model validation, back-testing, and continuous performance assessment, prioritizing scalability, reliability, and integrity. Provide thought leadership and strategic guidance on quantitative analytics across the firm and ultimately the broader market. Engage directly with clients to explain methodologies and results. Support API clients (pre- and post-sale) with onboarding and bespoke project implementation. … PhD) in quantitative finance, mathematics, computer science, physics, statistics, econometrics, or a related discipline. Minimum 5 years' experience in quantitative modeling roles within finance, preferably focused on fixed income analytics in a leading buy-side or sell-side firm. Expert proficiency in common programming languages and technologies, including Shell scripting, Python, SQL, and relational databases. Familiarity with cloud-based technologies More ❯

for an SC Cleared Azure Data Engineer with a strong focus on Databricks to join an experienced team in a new customer engagement working at the forefront of data analytics and AI. This role offers the chance to take a key role in the design and delivery of advanced Databricks solutions within the Azure ecosystem. Responsibilities: Design, build, and optimise … code in Databricks. Deep understanding of lakehouse architecture, with a solid grasp of data warehousing, data lakes, and real-time data processing. Familiar with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric. Good experience with CI/CD practices and tools for data platforms using Azure DevOps. Good knowledge on how to leverage AI to increase deployment productivity and More ❯

and Interpretation: Evaluate model accuracy, interpret results, and communicate findings clearly to stakeholders. Campaign Optimization: Provide insights to improve media buying strategies, including channel allocation and budget optimization. Advanced Analytics: Explore machine learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience … actionable strategies. Additional Skills: Experience with Marketing Mix Modelling (MMM) and campaign optimization techniques. If this sounds like the role for you, please apply through our retained recruiters, Datatech Analytics . More ❯

wide federated governance on data, and projectenvironments across business domains. The goal is to empower multiple teams to create and manage high integrity data and data products that are analytics and AI ready, and consumed internally and externally. What does a Data Infrastructure Engineer do? A Data Infrastructure Engineer will be responsible to develop, maintain and monitor the data platform … infrastructure and operations. The infrastructure and pipelines you build will support data processing, data analytics, data science and data management across the CACI business. The data platform infrastructure will conform to a zero trust, least privilege architecture, with a strict adherence to data and infrastructure governance and control in a multi-account, multi-region AWS environment. You will use Infrastructure … in Cloud Formation, and SAM. Designing and implementing data processing environments and integrations using AWS PaaS such as Glue, EMR, Sagemaker, Redshift, Aurora and Snowflake Building data processing and analytics pipelines as code, using python, SQL, PySpark, spark, CloudFormation, lambda, step functions, Apache Airflow Monitoring and reporting on the data platform performance, usage and security Designing and applying security and More ❯

Uncapped, you'll play a key role in shaping our credit strategy for a rapidly scaling small-ticket lending portfolio. Working closely with the Head of Credit Strategy and Analytics, you'll bring deep analytical expertise, strong business acumen, and a passion for using unconventional data sources to inform smarter lending decisions. This is a high-impact position for someone … product evolution. In this position, you will apply your analytical skills to continuously improve our credit strategies. You should have 4-6 years of experience in credit risk and analytics within fintech or banking, specifically in consumer or SME lending. About Uncapped Founded in 2019, Uncapped is the fastest, most affordable way for growing online businesses to fund marketing and … Requirements Who you are Analytically Exceptional: You have a strong academic foundation, ideally with a degree in Mathematics, Statistics or Data Science. You bring know-how of credit risk analytics, scorecard development, and data-driven strategy design. Technically Proficient: You have strong hands-on coding skills in SQL and Python, and knowledge of advanced data science tools and libraries. You More ❯

data integration from various sources (internal systems, third-party vendors) into centralised data platforms. Monitor and troubleshoot data jobs and pipelines to ensure consistent and reliable delivery. Collaborate with analytics and reporting teams to deliver high-quality datasets for business intelligence. Participate in code reviews, documentation, and team discussions as part of a collaborative engineering culture. Ensure data quality, integrity … Profile The Junior Data Engineer will ideally have a degree in Computer Science, Engineering, Mathematics, or a related field. 1-3 years of experience in a data engineering, data analytics, or software engineering role. Proficient in SQL for querying, data manipulation, and performance tuning. Hands-on experience with Azure Data Services (such as Azure Data Factory, Azure Synapse, Data Lake More ❯

the development and delivery of BI tools and processes across the organisation. This includes defining the roadmap, translating business requirements into technical deliverables, and working closely with engineering and analytics to ensure consistent delivery. The business sits on Google Cloud Platform, so technical credibility across GCP, SQL, and Power BI will be essential from day one. Key responsibilities include: Owning … Power BI and GCP stack Supporting the integration of Looker as a complementary BI tool What You’ll Bring Strong experience as a Product Manager focused on BI/Analytics tools Prior background working with financial services data – e.g. banking, insurance, asset management, or fintech Proven track record in Power BI product development and stakeholder adoption Confident with GCP, SQL More ❯

the development and delivery of BI tools and processes across the organisation. This includes defining the roadmap, translating business requirements into technical deliverables, and working closely with engineering and analytics to ensure consistent delivery. The business sits on Google Cloud Platform, so technical credibility across GCP, SQL, and Power BI will be essential from day one. Key responsibilities include: Owning … Power BI and GCP stack Supporting the integration of Looker as a complementary BI tool What You’ll Bring Strong experience as a Product Manager focused on BI/Analytics tools Prior background working with financial services data – e.g. banking, insurance, asset management, or fintech Proven track record in Power BI product development and stakeholder adoption Confident with GCP, SQL More ❯

Job Description: Reporting to the Head of Data, the Data Engineering Lead will oversee the design, development, and maintenance of high-performance data systems that support trading, risk, and analytics functions across the Natural Gas and Power business. This role bridges technical execution and business impact, ensuring that data pipelines, platforms, and products are robust, scalable, and aligned with enterprise … ideal candidate will lead a team of data engineers, collaborate with trading desks and analysts, and ensure that data infrastructure supports pre-trade modeling, live execution, and post-trade analytics with precision and reliability. Main Responsibilities 1. Data Platform Ownership Lead the development and maintenance of scalable data pipelines and databases tailored to Natural Gas and Power trading workflows. Ensure … data capabilities. Drive automation and optimization of data workflows to improve performance and reduce operational risk. Contribute to the evolution of enterprise data architecture in collaboration with IT and analytics teams. Profile Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field. years of experience in data engineering, with at least 2 years in More ❯

and lean tech company with a loyal customer base of micro-businesses. With a solid foundation in VoIP, broadband, and legacy digital services, the business is now investing in analytics to scale its impact across marketing, product, operations, and customer support. The Role Reporting directly to the CTO, this role offers high autonomy and visibility. You'll be the go … to person for dashboards, reports, and actionable insights. Collaborating with senior leaders and cross-functional teams, you'll build out the company's analytics capabilities using tools like Looker Studio and Trevor.io, with potential to help implement full Looker in future. Responsibilities include: Building and maintaining dashboards to support reporting, forecasting, and strategic decision-making Translating complex business questions into More ❯

Power Platform & Azure Data Developer Are you a data-driven developer with a passion for automation, analytics, and AI? We're working with a forward-thinking organisation that's investing heavily in digital transformation - and they're looking for a Power Platform & Azure Data Developer to join their growing team. This is a fantastic opportunity to work on cutting-edge … Platform Development : Build and maintain Power Automate flows, Power Apps, and Power BI dashboards. Azure Data Engineering : Design and manage robust data pipelines using Azure Data Factory. AI & Advanced Analytics : Collaborate on AI/ML projects, integrating models into Power BI and Azure services. Collaboration & Documentation : Work closely with stakeholders to gather requirements and document technical solutions. What You'll More ❯

maintaining the business’s core data infrastructure. Working closely with the Chief Mortgage Officer, Senior Data Lead and Market Analysts you will enable scalable reporting, clean data flows, and analytics-ready datasets that underpin everything from product development and underwriting to compliance and performance tracking. You’ll take ownership of automated data pipelines, cloud infrastructure within Microsoft Fabric, and integrations … Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and … data warehouse architecture is essential. You’ll demonstrate a strong focus on data quality and governance and be adept at integrating third-party APIs and transforming raw data into analytics-ready assets. Prior experience in financial services or lending is preferred, and the ability to communicate data requirements clearly across business teams will be key to success in this role. More ❯