South East London, England, United Kingdom Hybrid / WFH Options
Propel
that offers platforms for CFDs, spread betting, and stockbroking across a wide range of financial markets. Headquartered in London and listed on the LSE, they’re tech-driven, data-led, and a product-led business with millions of users across web and mobile. ✨You'll focus on analysing product data, improving product performance, and enhancing user … end. You will be working with Engineers, Product Managers, and cross functional teams to provide insights making huge impact. You will be the go-to person for everything data and performance related! ✨This role is Hybrid with 3 days per week being in their London based office. Requirements: Extensive experience in a product analytics role, with proven experience … or R for querying and/or analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with datavisualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking More ❯
by digital, to evolve and transform the student and staff experience at UAL. As a Lead Performance Analyst, you will be responsible for the accuracy and quality of data and analysis on our digital products, and for how digital analytics are used to understand and demonstrate impact on outcomes for UAL. This role will lead the development, implementation … and maintenance of digital analytics within Student Experience and collaborate with UAL teams to develop data and analytics strategies for UAL. You will analyse and interpret data from multiple sources across the university to provide valuable insights. For example, measuring and understanding behavioural data to drive improvements across our products and services right though … data strategies and setting up data structures. Experienced working with analytics platforms e.g. Google Analytics to deliver value from data. Understanding of datavisualisation tools (Power BI/Tableau) Experience working with large datasets and databases and interrogate the underlying data sources, advising on data quality issues. Excellent communication More ❯
emerging marketplaces. The ideal candidate will be skilled at building scalable self service analytics infrastructure, has experience building teams and growing individuals and is curious and seeks out data to understand the business use cases and impact on Prime. This candidate will be part of core Prime leadership team reporting to Prime leader for India and will be … experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with datavisualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software PREFERRED QUALIFICATIONS - 4+ years of working with very … large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯
a high bar for innovation and success in a fast-paced and changing environment. The Business Analyst is responsible for being able to influence critical business decisions using data and providing insight to category teams to be able to act. The successful candidate needs to have : - A passion for numbers, data and challenges. - High attention to … across levels in an organization - Proven analytical and quantitative skills (includes the ability to effectively use tools such as Excel and SQL) and an ability to use hard data and metrics to back up assumptions and justify business decisions. Key job responsibilities Key Responsibilities - Influence business decisions with data. - Use data resources to accomplished assigned analytical … business metrics. - Monitor key metrics and escalate anomalies as needed - Provide input on suggested business actions based on analytical findings. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with datavisualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines More ❯
What is Sylvera anyway? Sylvera provides trusted ratings, tools and data for carbon credits and CDR. Our mission is to incentivize investment in real climate action. Purchasing carbon credits and CDR through the carbon markets is one of the most established and scalable ways to channel finance to effective climate solutions and work toward societal net zero. Unfortunately … mistrust and a lack of effectiveness since they've emerged - until Sylvera. To help organizations ensure they're making the most effective investments, Sylvera Trusted ratings, tools and data for carbon credits and CDR. Our data and software independently and accurately validates the impact of carbon projects that capture, remove, or avoid emission whether they are … up and running, or in development. Our data and tools allow users to optimise both the climate and economic performance of projects as well as understand the past and future of the market. With Sylvera businesses, governments and developers can confidently invest in, benchmark, deliver, and report real climate impact. Our team is made up of leading minds More ❯
robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm … best practices and methodologies. Experience with version control systems (e.g., Git). Familiarity with CI/CD tools and practices. Strong problem-solving and analytical skills. Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles … algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing, feature engineering, and model evaluation. Knowledge of ML model deployment and serving strategies, including containerization and microservices. Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models More ❯
robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm … best practices and methodologies. • Experience with version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles … algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model deployment and serving strategies, including containerization and microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models More ❯
You'll Bring: We're looking for an Insights Analyst to join our Credit Card Analytics team. This team works with granular datasets (account level and transaction level data) to provide insights and thus strategic recommendations to credit card issuers in the UK market. Day to Day You'll Be: Analysing our complex datasets to ensure that our … clients are provided with the highest quality actionable recommendations to optimise their business. Building custom data queries to extract and manipulate the necessary data to align with internal and client requests. Solving challenging business problems and presenting findings to clients, management, and peers. Validating that data is accurate and deliverables are client ready. Undertaking … a timely and efficient manner. Essential Skills & Experience: Bachelor's or advanced degree in statistics, industrial engineering, mathematics, economics, computer science, finance, or related field. Comfortable working with data and presenting detailed analytical reports/presentations to audiences of varying technical knowledge. Proficiency in Microsoft Excel and PowerPoint. Desirable Skills & Experience: Previous SQL experience and dataMore ❯
quarterly, and annual commission payments accurately and on time. Collaborate with sales leadership and finance teams to optimize commission plans and drive performance. Maintain and manage commission-related data in relevant systems Ensure compliance with company policies, contractual agreements, and financial regulations. Analyze commission trends and provide insights to improve compensation strategies. Address commission disputes and inquiries from … attention to detail, and ability to meet tight deadlines. Knowledge of relevant accounting and compliance regulations. Preferred Qualifications: Experience with SaaS business models and revenue operations. Familiarity with datavisualization tools (e.g. Power BI) for commission reporting. Certification in financial or sales operations (e.g., Certified Sales Compensation Professional - CSCP) is a plus. More ❯
quarterly, and annual commission payments accurately and on time. Collaborate with sales leadership and finance teams to optimize commission plans and drive performance. Maintain and manage commission-related data in relevant systems Ensure compliance with company policies, contractual agreements, and financial regulations. Analyze commission trends and provide insights to improve compensation strategies. Address commission disputes and inquiries from … attention to detail, and ability to meet tight deadlines. Knowledge of relevant accounting and compliance regulations. Preferred Qualifications: Experience with SaaS business models and revenue operations. Familiarity with datavisualization tools (e.g. Power BI) for commission reporting. Certification in financial or sales operations (e.g., Certified Sales Compensation Professional - CSCP) is a plus. More ❯
ongoing training of new and existing users in Salesforce to drive user adoption. Engage and work with aligned teams Sales Support, GCO, Customer Success, Finance) to effectively achieve data needs and analysis results. Manage multiple concurrent projects, initiate, and drive projects to completion with minimal guidance. Assist the Sales Operations Director in understanding process bottlenecks and inconsistencies and … implementing data enrichment processes to improve the sales team's performance. Develop and maintain sales analytics reports and dashboards to provide actionable insights that support data-driven decision-making for the sales and executive leadership teams. Partner with the Tech Lead to understand new capabilities available in Salesforce. Maintaining key relationships with sales management/sales … team to enforce process and quality of data input. Key Deliverables Salesforce dashboards that enable a single revenue view of the business for Sales and leadership and include agreed KPIs Partnership with finance on key account financial status Expertise in CRM/Order Management systems (e.g. Salesforce and P.io) and processes to guide Sales Leaders on team performance More ❯
AZ-305, AZ-104, AZ-900 or corresponding AWS certifications). Comprehensive experience with databases (in the cloud and on-premises) and practical programming skills. Experience in master data modelling and classification of data. Knowledge of SAP Business Warehouse and Master Data Management. Experience with integration patterns and methods like REST, JSON, XML or SOAP web … successful implementation and integration of their solutions. Documentation and Technical Writing: Strong skills in documenting technical specifications, system architecture, and user guides, facilitating knowledge sharing and future maintenance. Data Analytics and Business Intelligence: Familiarity with data analytics tools, datavisualization techniques and business intelligence concepts. Experience of modern key testing techniques and tools. Logical More ❯
and customer retention) to identify opportunities and address challenges. Understand P&L top and bottom line dynamics, steer initiatives to support a profitable grow Steer the development of data-driven pricing, merchandising, and promotional strategies to optimize performance and meet customer needs. Customer-Centric Consumer Experience Place the customer at the centre of all trading activities, ensuring seamless … and personalized shopping experiences. Collaborate with UX/UI teams to optimize the digital customer journey, from discovery to purchase. Use insights and data to understand customer behaviour and adapt trading strategies to meet evolving preferences. Stakeholder Management and Business Alignment Partner with cross-functional teams, including Marketing, Product, Merchandising, and Operations, to ensure cohesive strategy execution. Influence … experience in ecommerce trading, ideally within a fast-paced retail or consumer-focused organisation. Proven track record of managing and optimizing P&L performance. Strong financial acumen and data-driven decision-making skills. Expertise in consumer experience design and customer journey optimisation. Excellent stakeholder management skills with the ability to collaborate across multiple departments and influence senior leaders. More ❯
with expertise in demand forecasting, volume modelling, and headcount planning to ensure optimal resource allocation across our customer operations and service teams. You'll be instrumental in using data-driven insights to predict business needs, mitigate risks, and present actionable strategies to senior leadership. As part of the Workforce Management team, you'll be responsible for creating and … teams, including operations, finance, and customer service, to optimise workforce deployment, increase efficiency, and enhance overall business performance. What you'll be doing Volume & Headcount Forecasting: Develop advanced, data-driven volume and headcount forecasts using historical data, seasonal trends, business cycles, and other relevant factors. Deliver accurate forecasts across all business units to support operations and … strategic communication. Excellent analytical skills with the ability to synthesise data, identify trends, and translate insights into actionable strategies. Familiarity with business intelligence and datavisualisation tools, especially Looker . Knowledge of workforce optimisation principles and methodologies. Experience with scenario planning, resource modelling, and strategic capacity planning. Strong interpersonal and communication skills, with the ability More ❯
what we're looking for in our ideal candidate: Technology project delivery experience - ideally gained within a Tax professional services environment. Strong knowledge of Python and SQL for data analytics. Experience using Alteryx. Experience and capability of supporting the team through coaching and feedback. Experience with project management and planning. Strong collaboration, communication and organisation skills. Happy to … with generative artificial intelligence or machine learning. Desirable Exposure to internally built automation tools versus customisation of off the shelf software. Familiarity with PowerBI or other datavisualisation products Experience in developing technologies (AI, ML, RPA, etc) What we can offer you: We recognise that our people are our most important assets. That's why we offer More ❯
Senior Data Management Professional - Data Product Owner - Foreign Exchange Data Location: London Business Area: Data Ref #: Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. … In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit for the purposes of our clients' use cases. We apply analytics and modern data management techniques to identify innovative workflows and technology solutions to improve the management of our data. Our Team: Our Foreign Exchange (FX) Data team is seeking a Data Product Owner to help us drive the dataset forward. Bloomberg FX seeks to provide customers with transparency into OTC markets by generating in excess of More ❯
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of … our data by combining our domain and technical expertise to make our data fit for the purposes of our clients use cases. We apply analytics and modern data management techniques to identify innovative workflows and technology solutions to improve the management of our data. Our Team: Our Foreign Exchange (FX) Data team … is seeking a Data Product Owner to help us drive the dataset forward. Bloomberg FX seeks to provide customers with transparency into OTC markets by generating in excess of 1 billion market-reflective, proprietary FX rates across tens of thousands FX securities in more than 180 currency markets on a daily basis. Proprietary FX pricing is a foundational More ❯
Senior DataVisualisation Analyst 📍 Hybrid – 3 days in-office (London) 💼 £40,000–£50,000 We’re hiring for a Senior DataVisualisation Analyst to join a specialist digital agency at the cutting edge of creative optimisation and data-led performance marketing. What You’ll Be Doing Build and maintain high-impact dashboards … that deliver creative performance insights (primarily using Datorama or similar platforms). Collaborate with analytics, creative, and strategy teams to gather data requirements from the outset of campaigns. Turn performance data into visually engaging, client-ready dashboards that support strategic decisions. Work closely with … product teams to refine and innovate creative intelligence tools. Champion data storytelling — improving how insight is visualised, presented, and used. Requirements: Strong experience in datavisualisation or analytics, ideally in media, advertising, or performance marketing. Confident working with tools like Datorama, Tableau, Power BI or similar BI platforms. Comfortable interpreting data requests and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
Senior DataVisualisation Analyst 📍 Hybrid – 3 days in-office (London) 💼 £40,000–£50,000 We’re hiring for a Senior DataVisualisation Analyst to join a specialist digital agency at the cutting edge of creative optimisation and data-led performance marketing. What You’ll Be Doing Build and maintain high-impact dashboards … that deliver creative performance insights (primarily using Datorama or similar platforms). Collaborate with analytics, creative, and strategy teams to gather data requirements from the outset of campaigns. Turn performance data into visually engaging, client-ready dashboards that support strategic decisions. Work closely with … product teams to refine and innovate creative intelligence tools. Champion data storytelling — improving how insight is visualised, presented, and used. Requirements: Strong experience in datavisualisation or analytics, ideally in media, advertising, or performance marketing. Confident working with tools like Datorama, Tableau, Power BI or similar BI platforms. Comfortable interpreting data requests and More ❯
Open in all locations: France, Germany, the Netherlands, and the United Kingdom At Instapro, we have been applying data capture and using visualisation tools to provide insights into our business results and product performance for years. We are further investing and improving our data capture and datavisualisation, which is why we … you will work together with a cross-functional team of Data Engineers and Full Stack Engineers that will investigate, develop, and maintain data capture and visualisation tooling across our entire product and business, suited for internal usage. You will join an agile organisation of 20 teams who work together on a common mission to build … reliable marketplace where tradespeople find quality jobs and homeowners hire quality tradespeople. Your role includes the following: Responsible for the vision and roadmap for data capturing and visualisation tooling to support business goals Conduct in-depth market research and competitive analysis to identify opportunities within data capture and datavisualisation Be accountable More ❯
Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear … people with disease and their families a brighter future to look forward to. Apply today and welcome to where we thrive together! The Role As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of data science methodologies applied to patient-level dataMore ❯
City of London, London, United Kingdom Hybrid / WFH Options
Captur
Job Description Captur is an established B2B AI startup based in London, backed by top VCs, InnovateUK, and Google for Startups. We are looking for a versatile Product Data Analyst to support our computer vision startup's analytics needs. In this role, you'll work across data engineering, analysis and model performance evaluation while collaborating directly … with our Customer Success team. Key Duties and Responsibilities Analyse frame-by-frame model prediction data from our mobile SDKs (iOS and Android) Investigate model performance issues using detailed session records Owning the data labelling process (interfacing with the labelling team, running calibrations & analysing labelling trends) Empower and support continuous improvement for our labelling team, processes … experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage Experience working with datavisualisation tools, particularly Grafana Strong communication skills for client-facing interactions Collaborative mindset for cross-functional work Nice to Have Experience with image based machine learning Experience with AI/ More ❯
Job Description Captur is an established B2B AI startup based in London, backed by top VCs, InnovateUK, and Google for Startups. We are looking for a versatile Product Data Analyst to support our computer vision startup's analytics needs. In this role, you'll work across data engineering, analysis and model performance evaluation while collaborating directly … with our Customer Success team. Key Duties and Responsibilities Analyse frame-by-frame model prediction data from our mobile SDKs (iOS and Android) Investigate model performance issues using detailed session records Owning the data labelling process (interfacing with the labelling team, running calibrations & analysing labelling trends) Empower and support continuous improvement for our labelling team, processes … experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage Experience working with datavisualisation tools, particularly Grafana Strong communication skills for client-facing interactions Collaborative mindset for cross-functional work Nice to Have Experience with image based machine learning Experience with AI/ More ❯
Data Analyst Hybrid UK or EU-based Permanent Curious about how data can transform business strategy? Want to join a high-performance team where your insights drive impact? If you thrive in a fast-paced, data-rich environment and love turning numbers into stories, this could be the opportunity you've been waiting for. … Our client a prominent global brand in digital entertainment - is seeking a Data Analyst to join their growing analytics function. This role is ideal for someone who s passionate about using data to answer big questions, influence marketing strategy, and empower departments across a diverse international business. This is your chance to become part of a … of what you ll be working with and building on: A solid foundation in SQL and the ability to interrogate complex datasets Hands-on experience with datavisualisation tools like Tableau or Power BI A background in data analytics, business intelligence or a similar field (ideally with 3+ years experience) Experience juggling multiple projects, staying More ❯
As a Data Specialist at this tech scaleup in London, you will analyse, collect, sort, and create data solutions that integrate across multiple products. You will steer decisions regarding data and build the models that power their products. You will take client insights and requirements and make them a reality, by developing datasets and … drive innovation into the product development process. You will interpret your client’s objectives, desires, and preferences to help the wider technical team understand the opportunities and apply data engineering responsibilities consistently. You will be working on an interesting range of projects that deliver to National Security customers and as such, you will have to hold the highest … variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke datavisualisation methods required by each project. Review the execution of software solutions and how these perform for the business and your clients, establishing key findings and commercially minded resolutions. Work More ❯