4 of 4 Exploratory Analysis Jobs in the UK excluding London

organisation. You will demonstrate a high level of initiative and your ability to work independently with minimal guidance. Responsibilities Leverage data to perform intensive analysis across all areas of our business to drive product development Collaborate with CEO, Products, and Engineering teams to solve problems and identify trends and … opportunities Build partnerships with senior stakeholders across the business and actively contribute to the product's strategic direction Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products Generate ideas for … exploratory analysis and drive a culture of testing to shape future projects and provide recommendations for actions Evangelise data best practices across the organisation What we are looking for BS/MS qualifications in Econometrics, Macroeconomics, Computer Science, Statistics, Data Science or similar fields Hands-on experience with More ❯

a self-serve analytics culture. Problem-Solving & Strategic Support - Translate business needs into data questions and actionable outputs. - Contribute to A/B testing analysis, campaign targeting, and commercial strategy. - Work with stakeholders across product, content, marketing, and commercial teams. Skills & Experience Essential: - 4+ years of experience in a … data or analytics role. - Strong SQL skills with experience handling large-scale datasets. - Proficiency in Power BI, Looker, or Tableau. - Strong understanding of KPIs, exploratory analysis, and business storytelling. - Confident communicator and stakeholder manager. Desirable: - Experience in digital, audio, or media sectors. - Familiarity with A/B testing More ❯

team as the sole data expert. You'll work across Marketing, Digital, Finance and Buying—handling ad hoc reporting, but more importantly, driving proactive, exploratory analysis that uncovers opportunities and informs business decisions. From shaping their customer data model with new data sources, to influencing campaign timing or More ❯

with cross-functional teams, including product development, marketing, and IT, to ensure continuous improvement in customer satisfaction and business performance. What to expect: Data Analysis & Insight Generation: Collect and analyse customer and business data from multiple sources, including surveys, feedback forms, CRM systems, and transactional databases. Interpret data to … and areas for improvement in the customer experience journey. Apply statistical techniques and predictive modelling to forecast customer trends and anticipate future needs. Use exploratory analysis to detect patterns, correlations, and anomalies in data. Data Management & Engineering: Analyse existing data structures to understand their architecture and relationship to … develop processes for data collection, extraction, cleansing, transformation, and integration to ensure high data quality and eliminate inconsistencies. Develop efficient data schemas to facilitate analysis and integration with other sources. Reporting & Visualisation: Prepare comprehensive reports and dashboards to communicate key findings and recommendations to stakeholders. Develop dynamic reports and More ❯