51 to 75 of 85 Data Interpretation Jobs in England

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 ❯

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. PayPal will handle any currency conversions from USD. 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. PayPal will handle any currency conversions from USD. 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 ❯

performance cluster for bioinformatic analysis. The successful candidate will play a key role in supporting research across multiple groups and themes by providing expertise in delivering high-quality sequencing data and developing innovative workflows that support a diversity of experimental applications. You will collaborate closely with research groups to design and execute sequencing strategies tailored to novel and emerging … molecular & cell biology applications. To train, assist and feedback to other scientists who can or wish to utilise next-generation sequencing in a walk-up fashion. To analyse sequencing data using existing bioinformatics tools and pipelines, and bespoke solutions if necessary, delivering actionable insights to collaborating scientists. To continuously curate an expert understanding on the underlying technologies in the … . To have a close working relationship with scientists from automation and bioinformatics teams. To contribute to the maintenance, calibration, and troubleshooting of sequencing instruments, ensuring maximal performance and data quality. To stay abreast of new sequencing technologies and methodologies, integrating improvements to enhance performance, throughput and cost-efficiency. Essential Knowledge, Skills and Experience: A PhD (or equivalent industry More ❯

a FTSE 500 financial services provider. The role will play a pivotal part in enhancing detection, prevention, and reporting capabilities across multiple Financial Crime (FC) systems. Working in a data-rich environment, the successful candidate will combine technical expertise with analytical insight to help identify emerging threats, optimise system performance, and ensure controls remain robust, efficient, and compliant. Key … Responsibilities Lead and support the development and optimisation of fraud detection and prevention strategies across all Financial Crime systems. Interrogate and analyse large and complex data sets using advanced SQL and data management tools to uncover patterns, trends, and anomalies. Develop, track, and report on key fraud metrics, presenting findings and recommendations to senior stakeholders. Design and implement … data models and machine learning scoring models to drive predictive insights and enhance fraud detection accuracy. Optimise and fine-tune Financial Crime system rule sets in line with risk appetite, balancing risk mitigation with operational efficiency. Collaborate with cross-functional teams in Technology, Risk, and Compliance to deliver data-driven improvements and strategic initiatives. Maintain robust governance and 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 ❯

The role of Business Intelligence Analyst involves analysing data to provide actionable insights that drive decision-making within the industrial and manufacturing industry. Based in Cheltenham, this fully remote position requires a detail-oriented professional with a strong grasp of analytics and a passion for data interpretation. Client Details This opportunity is with a well-established organisation within … business objectives using Power BI, DAX, Power Query etc Analyse large datasets to identify trends, patterns, and insights. Collaborate with various departments (Finance, Operations, HR etc) to understand their data needs and provide tailored solutions. Ensure data integrity and accuracy within analytics systems. Support the implementation of data-driven strategies across the organisation. Present findings and recommendations … Stay updated on industry trends and emerging technologies in analytics. Profile A successful Business Intelligence Analyst should have: A degree or equivalent qualification in a relevant field such as data analytics, statistics, or computer science. Proficiency in data visualisation tools such as Power BI, Tableau, or similar. Strong analytical and problem-solving skills. Experience with SQL/DAX More ❯

Join our Central Planning team and become a key player in driving operational excellence across our end-to-end network. As a Network Planner, you'll harness real-time data, forecast volumes, and proactively identify risks to ensure seamless service delivery across our premium network. You'll be at the heart of our planning operations, using data-driven … wider network. Lead daily network calls with senior stakeholders to address performance and escalate risks. Deliver weekly/monthly performance reports for operational leadership. Drive continuous improvement through historical data analysis and stakeholder collaboration. Support the delivery of the annual Peak Plan across the network. Qualifications & Technical Skills Strong Excel skills; SQL and VBA desirable. Familiarity with BI, MI … SAP, and Evri systems. Experience & Knowledge Proven analytical and data interpretation skills. Commercially aware with a continuous improvement mindset. Understanding of Lean and process improvement methodologies. Your insights and actions will shape performance across all operational areas where service is measured. You'll be a trusted advisor, driving improvements and ensuring our network runs at peak efficiency. Apply More ❯

Own product outcomes after release – track impact and iterate to maximise value. Discovery and scientific design Partner with application and research scientists to map end-to-end scientific workflows, data needs, and decision points across pharma and chemical safety. Translate scientific problems into well shaped opportunities, features, and testable hypotheses – with clear success metrics and acceptance criteria. Ensure designs … trusted relationships with member experts and Lhasa’s scientific community. Regulatory and domain awareness Understand the regulatory context that our members operate within and how it shapes product requirements, data quality, and evidence needs. Stay informed about industry trends in in silico assessment, data standards, and scientific software. Ways of working Champion collaborative, outcome driven practices – support iterative … of using metrics and user insights to drive decisions Desirable Professional experience in the pharmaceutical or chemical industries and familiarity with how science is performed in practice – experimental design, data interpretation, and peer review. Experience with regulatory concepts relevant to chemical safety and pharma workflows – e.g., how guidance like ICH M7 influences user needs and product decisions. Familiarity More ❯

Own product outcomes after release – track impact and iterate to maximise value. Discovery and scientific design Partner with application and research scientists to map end-to-end scientific workflows, data needs, and decision points across pharma and chemical safety. Translate scientific problems into well shaped opportunities, features, and testable hypotheses – with clear success metrics and acceptance criteria. Ensure designs … trusted relationships with member experts and Lhasa’s scientific community. Regulatory and domain awareness Understand the regulatory context that our members operate within and how it shapes product requirements, data quality, and evidence needs. Stay informed about industry trends in in silico assessment, data standards, and scientific software. Ways of working Champion collaborative, outcome driven practices – support iterative … of using metrics and user insights to drive decisions Desirable Professional experience in the pharmaceutical or chemical industries and familiarity with how science is performed in practice – experimental design, data interpretation, and peer review. Experience with regulatory concepts relevant to chemical safety and pharma workflows – e.g., how guidance like ICH M7 influences user needs and product decisions. Familiarity More ❯

Research Scientist – Environmental Sensors & Data Systems 📍 Southampton, Hampshire (Hybrid – 3 days onsite) 💰 £40,000 per annum About the Company Our client is a fast-growing technology business developing innovative environmental sensor and data systems that help utilities and governments monitor and improve water quality. Their solutions span hardware, software, and data analytics, enabling real-time insights that … support cleaner, safer, and more sustainable water systems. They’re known for turning cutting-edge research into real-world impact, combining science, engineering, and data intelligence to help solve critical infrastructure challenges. The Role As a Research Scientist, you’ll join a multidisciplinary R&D team working on the next generation of sensor and monitoring technology. This is a … hands-on, collaborative role involving experiment design, data analysis, sensor testing, and applied research across chemistry, physics, and data science. You’ll work closely with engineering, manufacturing, and data teams to validate new concepts, improve existing systems, and help shape new commercial products for global customers. Key Responsibilities Design and execute laboratory and field experiments to evaluate More ❯

Research Scientist – Environmental Sensors & Data Systems 📍 Southampton, Hampshire (Hybrid – 3 days onsite) 💰 £40,000 per annum About the Company Our client is a fast-growing technology business developing innovative environmental sensor and data systems that help utilities and governments monitor and improve water quality. Their solutions span hardware, software, and data analytics, enabling real-time insights that … support cleaner, safer, and more sustainable water systems. They’re known for turning cutting-edge research into real-world impact, combining science, engineering, and data intelligence to help solve critical infrastructure challenges. The Role As a Research Scientist, you’ll join a multidisciplinary R&D team working on the next generation of sensor and monitoring technology. This is a … hands-on, collaborative role involving experiment design, data analysis, sensor testing, and applied research across chemistry, physics, and data science. You’ll work closely with engineering, manufacturing, and data teams to validate new concepts, improve existing systems, and help shape new commercial products for global customers. Key Responsibilities Design and execute laboratory and field experiments to evaluate More ❯

From assessing risks and threats to influencing investigative direction, your insights will make a tangible difference. Key Responsibilities Create advanced intelligence products that guide investigations and strategy. Analyse complex data sets to identify patterns, threats, and opportunities. Deliver professional, timely reports that exceed client expectations. Re-evaluate intelligence to ensure ongoing relevance and accuracy. Collaborate across the team and … years' experience as an Intelligence Analyst. Proven skills in OSINT, SOCMINT, and digital investigations. Familiarity with tools like i2 Analyst's Notebook, Maltego, etc. Excellent communication, critical thinking, and data interpretation skills. Understanding of relevant legal frameworks (IP, data protection). Knowledge of cybercrime, social media security risks, and emerging technologies, with experience exploiting digital intelligence sources. More ❯

This role will focus on reviewing, rationalising, and streamlining End User Controls (EUC) applications across the business. This assignment is ideal for a Technical Analyst with strong Excel and data analysis skills, and experience managing application portfolios, who can coordinate between technical and business teams to deliver clear recommendations. Engagement via Umbrella Company Only; all taxes & NI deducted at … the end-to-end process of rationalising EUC applications, including identifying unused, outdated, or duplicate applications. Maintain and update a centralised Excel tracker of applications. Analyse survey responses and data to provide recommendations on application retention, remediation, or retirement. Coordinate with stakeholders across IT, Risk, and Business teams to drive the review process. Prepare reports and present findings to … group. Support planning, scheduling, and tracking of tasks to ensure project milestones are met. Key Skills & Experience: Strong Microsoft Excel skills (pivot tables, lookups, reporting). Proven analytical and data interpretation skills. Strong organisational and coordination abilities with attention to detail. Confident communicator, able to engage with stakeholders across different teams. Understanding of software applications, licensing, and asset More ❯

learn to; Assist in the provision of accurate and clear model information for collaboration purposes, 4D planning and 5D cost estimation and management. Support the use of digital site data capture systems in accordance with the project specification and in compliance with BAM procedures. Provide training and technical support in the use of technology to site teams. Collect, manage … and interpret project data to improve decision making Help implement digital workflows and smart construction methods Upskill other stakeholders in the business with processes and data interpretation Develop an awareness of the ISO19650 suite, and BAMs internal standards, procedures and processes, and their role in the project and asset lifecycle. Stay abreast of industry developments identifying new More ❯

such as Business Requirements Documents (BRDs) and process diagrams. Supporting User Acceptance Testing (UAT) to validate that delivered features align with documented requirements. Presenting at Steering Committees, translating complex data and regulations into clear, actionable insights for senior management. What You Bring: To succeed in this role, you'll need: A proven track record in designing and implementing Target … Operating Models (TOMs). Experience with end-to-end client onboarding processes in financial services, including compliance with KYC and AML regulations. Strong analytical and data interpretation skills, with the ability to communicate complex information clearly. A collaborative mindset and the ability to engage cross-functional teams to support change delivery. Certified Lean Six Sigma qualifications to drive More ❯

prioritising research activities in line with product and business timelines Quantitative analysis, leveraging tools like surveys, A/B testing, and behavioural analytics to uncover trends, understand and interpret data to measure usability, and validate hypotheses Qualitative exploration through interviews, usability testing, field studies, diary studies, and workshops to uncover user motivations, pain points, and needs Partnering with Product … Demonstrable UX research experience with a strong portfolio of impactful research work across industries, products, or platforms Proven expertise in both quantitative (e.g., survey design, statistical analysis, large-scale data interpretation) and qualitative (e.g., ethnography, usability testing, contextual inquiry) research. Experience collaborating with and influencing C-suite or senior leadership Experience working in agile, cross-functional teams with More ❯

post holder will contribute towards the design, development, testing, implementation and maintenance of localised bespoke developments, the implementation of newly procured systems and the maintenance of the Trust's data warehouse, taking direction and guidance where required from the Data Engineering Manager. For smaller, limited developments, the post holder will be responsible for the end-to-end solution … Server Integration Services (SSIS), Microsoft Office suite, .NET framework and languages including ASP.Net, C# and VB using Visual Studio. Solutions must be high quality and capable of supporting Trust data and information requirements. About us At UHSussex, diversity is our strength, and we want you to feel included to help us always put the Patient First. Your uniqueness and … www.uhsussex.nhs.uk/resources/candidate-information-pack/Job description Job responsibilities Communication Establish and develop effective relationships with external system suppliers Close liaison with other members of the Data Engineering team, and active contribution to the successful running of the department will be expected from the post holder. Confidently and effectively communicate with users of the Trusts Information More ❯

academic background who are eager to develop a career in recruitment. You will play a vital role in sourcing and placing high-caliber candidates within the technology, digital, and data industries while building strong relationships with both clients and candidates. Key Responsibilities: Conduct in-depth research to identify top talent across various sectors, including technology, digital, and data. Utilize … advice and strategic insights. Qualifications: A strong academic background with a degree in Business, Human Resources, Psychology, or a related field. Excellent research and analytical skills with experience in data interpretation and problem-solving. Outstanding communication and interpersonal abilities, with a talent for relationship-building. Ability to multitask and thrive in a fast-paced, target-driven environment. A 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 ❯