18 of 18 Permanent Data Interpretation Jobs in London

Overview We’re seeking a creative, data-driven BI Developer to own the design and delivery of externally facing self-serve analytics that help customers turn complex data into confident decisions. In this role you’ll build intuitive, high-performance dashboards and insights products, shaping data models, UX, and delivery so customers can explore their own metrics … spot market trends, and extract actionable recommendations at scale. Reporting to the Director of Research Operations and partnering closely with Product and Data teams, you’ll turn raw numbers into clear, actionable stories that directly influence customer outcomes and business growth. If you care about craftsmanship, scalability, and making data genuinely usable for people, this is the role … make an impact. Main Duties and Responsibilities Create engaging and easy-to-use BI tools and dashboards that surface value to customers across our products Translate customer needs, behaviour data, and product usage insights into clear visual reporting Partner with analysts and product teams to define relevant metrics and ensure data accuracy Provide recommendations and ideas about the More ❯

Overview The Practice Lead for Data, Analytics and AI will focus on leading the function within Expleo UK. This role involves managing the function, including its people, delivery, and sales opportunities. This role requires a strategic and hands-on approach to drive data-driven decision-making, deliver actionable insights, and enhance business performance by incorporating Artificial Intelligence and … Machine Learning for Expleo's clients. The successful candidate will lead a team of data scientists, analysts, and AI data engineers, collaborating closely with cross-functional teams to develop innovative data solutions and drive growth opportunities. The role is split between leading a team and delivering value to our customers. Responsibilities Leadership and Strategy: Help the Service … head to define the data and analytics vision, strategy, and roadmap aligned with the firm's goals. Align the data and analytics strategy with the firm's overall goals and objectives. Provide leadership and guidance to the team, fostering a culture of innovation, collaboration, and continuous improvement. Identify emerging trends and technologies in data, analytics, and AI More ❯

across International Markets (UK, Germany, France, Italy, Canada, and Australia). Your mission? Work closely with senior business leaders in eBay's International Markets to understand markets and build data-driven solutions using AI. This role has a special emphasis on the UK market where many important global strategies are being incubated and tested. This is a globally-visible … key leadership opportunity in our Global Customer Data Science team which is high-impact and high-agency, perfect for a hands-on leader who thrives in fast-paced, collaborative environments. What You Will Accomplish Provide consultative, thought leadership to global senior leaders supporting International Markets. Lead and encourage the science & insights strategy to proactively help eBay to better understand … customers and each market's business. Supervise and lead data science analytics teams who are dedicated to International Markets. Be able to devise methodologies and approaches to exploring the data and discovering the right science solutions needed. Be comfortable being deep into the solution details while also crafting executive summary level presentations that help the larger eBay business More ❯

providing savings that really work, they champion those who dare to do things differently. The Opportunity As an MLOps Engineer, youll be at the forefront of leading Machine Learning, Data, and cloud services across the business. Playing a key part in kick-starting their journey into AI and ML. Youll be collaborating closely with cross-functional teams, from setting … up and managing data labs to enabling new tooling to deploying data science models into production, and youll also play a pivotal role in helping our client scale and modernise. What youll bring MLOps experience essential Proficiency in SQL and Python Cloud engineering experience with Azure (if you have exp with AWS this would be beneficial) Experience working … with cloud-based data platforms such as AWS Redshift or Azure Synapse Understanding of automated Terraform deployment methods A background in leading complex AI/ML/Data initiatives Strong analytical and problem-solving skills with a detail-oriented approach to data interpretation Expertise in data visualisation tools, including Excel, Tableau, and Power BI Exceptional More ❯

Join us as a Senior Decision Intelligence Analyst at Barclays where you'll be primarily responsible for extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders. To be successful as a Senior Decision Intelligence Analyst, you should have: Proven experience in analytics, data science, or research roles Excellent analytical thinking … and problem-solving abilities Effective stakeholder management and communication skills Proficiency in analytical methodologies and data interpretation Ability to translate business problems into analytical frameworks Experience presenting complex findings to non-technical audiences Collaborative approach to working with cross-functional teams Knowledge of data visualization techniques and storytelling with data Experience with project delivery in an … analytical context Understanding of data quality and integrity principles Some other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience More ❯

Masters and/or PhD is preferred but not required Fluency in English (native or bilingual level) Detail-oriented Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. Job Types: Full-time, Part-time Pay: From More ❯

Masters and/or PhD is preferred but not required Fluency in English (native or bilingual level) Detail-oriented Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. Job Types: Full-time, Part-time Pay: From More ❯

one of its major strengths is its interdisciplinary ethos - the way in which departments, centres and units interrelate to offer new perspectives and insights. The Opportunity As a People Data Analyst at Goldsmiths, University of London, you will play a key role in supporting the People & Organisational Development (POD) department through the provision of high-quality data insights … and reporting. You ll be responsible for maintaining and analysing workforce data, developing dashboards, and contributing to the improvement of HR systems and processes. This is a fantastic opportunity to work collaboratively across HR, Payroll, IT, and other university departments to ensure data integrity and support strategic decision-making. Key Responsibilities Gather, validate, and maintain accurate HR data from multiple sources including EDI, Workforce, HESA, and Recruitment. Clean and standardise data in collaboration with HR Operations to ensure consistency and reliability. Generate regular reports on HR metrics such as turnover, diversity, and recruitment effectiveness. Conduct ad hoc analysis and create custom reports for senior stakeholders. Develop dashboards and visualisations using tools like Power BI. Support system More ❯

development of FinOps capabilities. About You Proven experience in senior financial management or FP&A roles within technology or financial services (5-7+ years). Strong analytical and data interpretation skills, with experience using Power BI and Oracle Cloud Financials. Excellent stakeholder management and communication abilities, comfortable influencing senior leaders. Strategic thinker with a proactive, detail-oriented More ❯

development of FinOps capabilities. About You Proven experience in senior financial management or FP&A roles within technology or financial services (5-7+ years). Strong analytical and data interpretation skills, with experience using Power BI and Oracle Cloud Financials. Excellent stakeholder management and communication abilities, comfortable influencing senior leaders. Strategic thinker with a proactive, detail-oriented More ❯

team to ensure optimal delivery and satisfaction. The ideal candidate should have a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage … a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex … data and analytical insights, including those derived from MMM, and present them in a clear, concise, and actionable manner to clients, translating technical findings into strategic business recommendations. The Client Success Manager should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. More ❯

team to ensure optimal delivery and satisfaction. The ideal candidate should have a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage … a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex … data and analytical insights, including those derived from MMM, and present them in a clear, concise, and actionable manner to clients, translating technical findings into strategic business recommendations. The Client Success Manager should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. More ❯

team to ensure optimal delivery and satisfaction. The ideal candidate should have a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage … a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex … data and analytical insights, including those derived from MMM, and present them in a clear, concise, and actionable manner to clients, translating technical findings into strategic business recommendations. The Client Success Manager should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. More ❯

team to ensure optimal delivery and satisfaction. The ideal candidate should have a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage … a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex … data and analytical insights, including those derived from MMM, and present them in a clear, concise, and actionable manner to clients, translating technical findings into strategic business recommendations. The Client Success Manager should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. More ❯

sales, pricing strategy, and revenue realisation Ability to manage a lean cross-functional team across product, engineering, operations, and analytics Strong analytical and problem-solving skills, with experience in data analysis and interpretation Excellent communication and interpersonal skills, with the ability to build and maintain strong relationships with stakeholders Experience in improving operational and technical efficiency, with a More ❯

and maximise threat coverage · Use analytical platforms to query high volume datasets to identify trends and spot unusual behaviours, indicative of malicious activity · Proactive threat hunting using available client data · Collection and/or interpretation of different sources of threat intelligence · Incident response · Automation of SecOps processes using scripting More ❯

merchandising. Proficiency with Salesforce Commerce Cloud (SFCC). Strong knowledge of web development technologies, including HTML, CSS, and XML. Experience with AP systems. Advanced skills in Microsoft Excel for data management and reporting. Expertise in data reporting, analysis, and interpretation. Familiarity with UI/UX principles and best practices to enhance user experience. Japanese (Mandatory)/Chinese (Mandatory More ❯

merchandising. Proficiency with Salesforce Commerce Cloud (SFCC). Strong knowledge of web development technologies, including HTML, CSS, and XML. Experience with AP systems. Advanced skills in Microsoft Excel for data management and reporting. Expertise in data reporting, analysis, and interpretation. Familiarity with UI/UX principles and best practices to enhance user experience. Japanese (Mandatory)/Chinese (Mandatory More ❯