16 of 16 Permanent Exploratory Analysis Jobs in England

to hear from you. The BM&A function is pivotal in supporting the efficient operation of the equities business. The team provides detailed trading analysis to our sales team, monitors business performance, and manages business initiatives from start to finish. We have an opportunity for someone to join at … a thriving organization. Role Responsibilities: You will have accountability for (but not limited to): Support the businesses' day-to-day needs with ad-hoc analysis to drive business results using various reporting tools and database querying - servicing a broad spectrum of stakeholders including Liquidnet Management & Sales teams and corporate … functions Ongoing business performance monitoring, competitor/market landscape analysis, product analysis, and the production of performance commentary and analysis Update and improve existing equities business processes to help drive efficiencies and ensure alignment with business needs Participate in and support numerous business management and governance routines More ❯

As a Data Engineer, you'll play a pivotal role in designing, developing, and maintaining business intelligence solutions. This involves defining key metrics, conducting exploratory analysis, and working closely with stakeholders to translate their needs into actionable data insights. The ideal candidate will be proactive, capable of independent … internal teams to gather requirements, refine project scopes, and communicate insights effectively. Create and maintain scalable and efficient databases to support analytics requirements. Perform exploratory data analysis to identify trends, anomalies, and actionable insights. Ensure data accuracy, consistency, and integrity across all reports and dashboards. Collaborate with other More ❯

week or 12 days per month in our London Office. Key Accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify … opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Your … years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical More ❯

value by: Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance More ❯

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 ❯

understanding of performance for example through increased segmentation of metrics Understanding the interaction of key metrics and their relationship with strategic and performance goals Exploratory analysis to identify friction across the funnel impacting metrics, and quantify the business impact of this Working with the wider product analytics team More ❯

to uncover insights, test hypotheses, and identify features that drive business value. Handle all aspects of the data science workflow-from data cleaning and analysis to offline benchmarking and validation. Collaborate with marketers to reduce manual campaign management overhead while improving ad efficiency and profitability. Enhance our ad feed … production. Strong Python and SQL skills, with expertise in data wrangling, feature engineering, and model evaluation. Deep understanding of the data science process, including exploratory analysis, statistical testing, and model comparison. Experience with structured prediction problems using real-world, messy data. Familiarity with advertising systems (Google Shopping, PMAX 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 ❯

actionable for driving performance improvements Use data to provide strategic solutions that enhance how the business grows and operates as a company Communicate complex analysis and data insights to technical and non-technical stakeholders YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data … Visualisation and Python/R Strong background in advanced analytics, predictive modelling and exploratory analysis Proven expertise in DBT and reporting Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + equity Hybrid London HOW TO APPLY If interested in the role please send your More ❯

understanding commercial performance, identifying root causes of trading issues, and shaping strategic decisions across the business. What you'll be doing: Leading deep-dive, exploratory analysis using SQL and Looker to understand trends and performance issues Identifying and explaining trading anomalies (e.g. unexpected sales dips) and recommending actions More ❯

understanding commercial performance, identifying root causes of trading issues, and shaping strategic decisions across the business. What you'll be doing: Leading deep-dive, exploratory analysis using SQL and Looker to understand trends and performance issues Identifying and explaining trading anomalies (e.g. unexpected sales dips) and recommending actions More ❯

that’s for sure...: The Insight and Intelligence team leverage Big Data technologies to maximise the returns from our data assets, by providing MI, exploratory analysis and predictive models which shape and deliver strategies in pricing, direct marketing, product optimisation, credit risk and fraud. In turn this helps More ❯

Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining … business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data … Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are More ❯

processes, and collaborate to build scalable, high-quality data solutions. Data Scientist: Support research and management teams by delivering high-quality data models and exploratory analysis. Extract insights from complex datasets, build data pipelines, and collaborate across teams to enhance data ecosystems. Why Grayce? We specialise in driving change … during the programme. What makes a great Grayce Analyst: 2:1 Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical More ❯

people’s daily lives, helping them solve real problems through simple, accessible technology. You’ll take ownership of both recurring reporting and fast-turnaround exploratory analysis. Work is shaped around focused six-week planning cycles, and you’ll play a key role in identifying and solving the most impactful … for someone who thrives on working independently, enjoys solving problems, and is confident pulling clarity from ambiguity. What You’ll Be Doing: Leading data analysis across the business as a standalone function. Turning vague or high-level questions into actionable insights. Extracting what people really need from a request More ❯

people’s daily lives, helping them solve real problems through simple, accessible technology. You’ll take ownership of both recurring reporting and fast-turnaround exploratory analysis. Work is shaped around focused six-week planning cycles, and you’ll play a key role in identifying and solving the most impactful … for someone who thrives on working independently, enjoys solving problems, and is confident pulling clarity from ambiguity. What You’ll Be Doing: Leading data analysis across the business as a standalone function. Turning vague or high-level questions into actionable insights. Extracting what people really need from a request More ❯