401 to 425 of 2,620 Analytics Jobs in London

quantitative and analytical skills. Extensive experience in C++ and Python Strong verbal and written communication skills in English. Preferred Work experience in options pricing theory Work experience in Data Analytics and Machine Learning 3 Years of experience in a related field. More ❯

considered suitable you will need the following skills/experience: - Experience of development with the Microsoft Power Platform - Knowledge of Azure Data Factory - Cloud data warehousing experience - BI and Analytics (QlikSense) - Team leadership/management experience - Experience in Agile, Scrum and Prince2 - Exposure to automation/AI More ❯

considered suitable you will need the following skills/experience: - Experience of development with the Microsoft Power Platform - Knowledge of Azure Data Factory - Cloud data warehousing experience - BI and Analytics (QlikSense) - Team leadership/management experience - Experience in Agile, Scrum and Prince2 - Exposure to automation/AI More ❯

insights from data to support internal reporting Learn and apply industry tools such as Excel, SQL, or Python (depending on your background) Receive mentorship from experienced professionals in data analytics Who You Are: A recent graduate, career switcher, or early-career professional Studying or have completed a degree in data science, statistics, computer science, or a related field Comfortable with More ❯

Data Scientist Up to £80,000 London (Hybrid) Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance, Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Research and implement loss models that quantify climate-related risks, focusing on robustly estimating asset vulnerabilities. More ❯

in fast-moving businesses, this one's for you. SKILLS + EXPERIENCE Experience in iGaming, eCommerce or B2B industries Broad experience providing insights across Product, Marketing, CRM and Finance analytics Strong SQL and Python experience Data visualisation - open to any tool HOW TO APPLY If this sounds like the role for you, swiftly send over your CV to Izzi at More ❯

stakeholders Ability to work in a fast-paced environment and prioritize multiple tasks and deadlines Desirable Skills and Experience Experience with Salesforce Lightning and Experience Cloud Knowledge of data analytics and reporting tools such as Tableau Experience with identity and access management tools such as OKTA Salesforce certifications (e.g., Technical Architect, Developer, or Administrator) Experience with cloud technologies like AWS More ❯

stakeholders Ability to work in a fast-paced environment and prioritise multiple tasks and deadlines Desirable skills and experience Experience with Salesforce Lightning and Experience Cloud Knowledge of data analytics and reporting tools such as Tableau Experience with identity and access management tools such as OKTA Certification in Salesforce (e.g., Technical Architect, Developer, or Administrator) Experience with cloud-based technologies More ❯

Morgan Hunt are working with a large public sector organisation to recruit a PowerBI developer on a 3 month contract. The role sits within the analytics team within the data and AI function and plays an important role in transforming data into structures that enable analysis and decision making. Extensive experience designing and building complex dashboards and data models for More ❯

Morgan Hunt are working with a large public sector organisation to recruit a PowerBI developer on a 3 month contract. The role sits within the analytics team within the data and AI function and plays an important role in transforming data into structures that enable analysis and decision making. Extensive experience designing and building complex dashboards and data models for More ❯

incredibly strong modelling skills but know when to be pragmatic to ensure the best business outcomes You'll be a coder in Python, C++ or Java Experience of productionizing analytics code pandas, scipy and numpy If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced More ❯

Our client is a globally renowned Consumer Electronics brand with a huge online presence and are looking for a Data Engineer to join their small but expanding big data analytics capability based in Central London. The Data Engineer will be responsible for providing analytical and development services on their large scale data sets with a range of teams on an More ❯

academic background, ideally in a STEM-related field Advanced proficiency in SQL and data visualisation tools Proven ability to extract meaningful insights from diverse data sources Familiarity with advanced analytics techniques and exposure to tools such as R or Python Confidence in communicating technical concepts to both technical and non-technical audiences Company: Graduate Recruitment Bureau (Hiring for client) Salary More ❯

Income businesses Strong mathematical and analytical skills Curious and determined to investigate, challenge, and find solutions Ideally 3+ years of experience in the Financial Services industry Experience with data analytics, coding, and/or AI is beneficial About us UBS is the world's largest and only truly global wealth manager, operating in over 50 countries with a presence in More ❯

multiple projects and stakeholders. Demonstrated ability to manage processes and contribute to project management across functions. Comfortable with data - Excel/Google Sheets expertise required; SQL or experience with analytics tools is a plus. Comfortable with AI tools - implementation of AI engines into processes and workflows to increase operational efficiency. A problem-solver mindset: curious, proactive, and eager to improve More ❯

deliver a secure, CIS-compliant digital workplace. Leverage in-depth knowledge of EUX technologies to design and support the Virtual Desktop (VDB) estate. Define end-user personalization and EUX analytics using tools like Aternity, optimizing the employee experience. Collaborate with key stakeholders to develop long-term strategies and roadmaps for the digital workplace. Produce high- and low-level designs for More ❯

deliver a secure, CIS-compliant digital workplace. Leverage in-depth knowledge of EUX technologies to design and support the Virtual Desktop (VDB) estate. Define end-user personalization and EUX analytics using tools like Aternity, optimizing the employee experience. Collaborate with key stakeholders to develop long-term strategies and roadmaps for the digital workplace. Produce high- and low-level designs for More ❯

environment. Benefits including medical insurance and sports. Corporate social events. Modern, well-equipped office. About us Grid Dynamics (NASDAQ: GDYN) provides technology consulting, platform and product engineering, AI, and analytics services. With over 8 years of industry leadership, we help enterprises transform through expertise in AI, data, cloud, DevOps, modernization, and customer experience. Founded in 2006, headquartered in Silicon Valley More ❯

model prototyping, including scoring logic, audience clustering, and predictive insights. Driven. Passionate. Diverse. Equal. These are values you cherish. You have at least 3 years of experience in data analytics, ideally within a digital, SaaS, or social media-focused environment. You have a good understanding of social media metrics and are comfortable working with APIs and large datasets from social More ❯

SEO, and conversion optimisation, with the ability to translate these into backlog priorities. Experience negotiating API contracts and working with marketing automation, CRM, or affiliate tools. A passion for analytics, experiments, and funnel optimisation. Understanding of compliance and content requirements in marketing and affiliate contexts. Additional qualities include: Customer-centric mindset Strategic thinking Stakeholder management skills Problem-solving abilities Data More ❯

prevention team, ensuring effective monitoring and investigation of suspicious activities. Develop and implement fraud risk management strategies and policies aligned with regulatory requirements and industry best practices. Utilize data analytics, rules engines, and machine learning models to detect unusual patterns and prevent fraudulent transactions. Collaborate with Product, Engineering, Customer Service, Compliance, and Legal teams to enhance fraud controls across customer More ❯

Design and implement data solutions using Snowflake across cloud platforms (Azure and AWS) Build and maintain scalable data pipelines and ETL processes Optimise data models, storage, and performance for analytics and reporting Ensure data integrity, security, and best practice compliance Serve as a subject matter expert in Snowflake engineering efforts within delivery teams Collaborate with internal teams and customer stakeholders More ❯

organisations), as well as work on due diligences for investment funds. In this context, you will be working closely with our teams of experts in Digital Marketing and Data Analytics, and also with our strategic partners. You will be able to build your expertise throughout the entire digital value chain, in B2C and B2B, as well as your skills in More ❯

Sr Business Intelligence Engineer, Data and Analytics Job ID: Amazon EU SARL (UK Branch) - D67 Unlock the power of data and transform transportation operations with analytics solutions! Join our dynamic team in London and become a pivotal force in developing innovative insights that drive strategic decision-making across European transportation networks. You'll be at the forefront of creating next … making across European transportation networks. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field - Professional experience in Business Intelligence, data engineering or data analytics - Advanced proficiency in SQL and Python - Knowledge of data warehousing and data modeling - Experience in developing analytical models and reporting frameworks - Experience with data visualization using Tableau, Quicksight, or similar More ❯

significant opportunities for growth and development. Tasks CRM Strategy & Execution: Develop and implement a comprehensive CRM strategy to drive customer acquisition, retention, and loyalty. Data Analysis & Insights: Leverage data analytics to understand customer behaviour, identify opportunities for improvement, and personalise customer communications. Segmentation & Personalisation: Create highly targeted customer segments and personalise messaging across all touchpoints (email, SMS, etc.) to enhance More ❯