1,251 to 1,275 of 1,945 Analytical Skills Jobs in London

areas of responsibility and have the opportunity to contribute to the work of the business from day one. By the end of the programme, you will have developed strong skills in your chosen function. You will also be equipped with the highest level of professionalism, personal ownership and commercial aptitude skills that are essential to future careers at … programming techniques. They work closely with traders, shipping, and IT, developing tools in order to deliver value to the business. Forecasting market trends and strategic global thinking are important skills in this role a good analyst will proactively form an independent view of the market and present clear and concise data to support this opinion. Working alongside the team … develop will be used to add value and inspire commercial strategy within the trading teams. Key requirements: A keen interest in the Finance, Energy, or Oil industries. Strong numerical skills and a highly analytical mindset. Experience in a programming language, such as Python, strongly preferred. Experience with data analysis, data visualisation or machine learning preferred Who we look More ❯

quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology, Engineering, Mathematics) discipline including, but not limited to Computer Science and Artificial Intelligence. Required Skills Vocational AI Experience: Demonstrated practical experience in AI development, potentially through internships, personal projects, or research. Cloud Platform Proficiency: Understanding of Google Cloud Platform (GCP) services relevant to AI … development such as Vertex and Gemini. Productivity Solutions: Familiarity with Google Workspace and the ability to leverage its tools for building productivity-enhancing AI solutions. Preferred Skills Fast Starter: Ability to quickly integrate into the team and begin contributing to projects, particularly with a view to client project involvement in Q1. Problem-Solver: A proactive and analytical approach … to identifying and solving complex challenges. Innovative Thinker: Passion for developing cutting-edge AI solutions and bringing new ideas to fruition. Team Player: Excellent collaboration and communication skills to work effectively within a dynamic team environment. Client-Facing: Energetic, curious, and able to hold customer-facing conversations about AI solutions. More ❯

quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology, Engineering, Mathematics) discipline including, but not limited to Computer Science and Artificial Intelligence. Required Skills Vocational AI Experience: Demonstrated practical experience in AI development, potentially through internships, personal projects, or research. Cloud Platform Proficiency: Understanding of Google Cloud Platform (GCP) services relevant to AI … development such as Vertex and Gemini. Productivity Solutions: Familiarity with Google Workspace and the ability to leverage its tools for building productivity-enhancing AI solutions. Preferred Skills Fast Starter: Ability to quickly integrate into the team and begin contributing to projects, particularly with a view to client project involvement in Q1. Problem-Solver: A proactive and analytical approach … to identifying and solving complex challenges. Innovative Thinker: Passion for developing cutting-edge AI solutions and bringing new ideas to fruition. Team Player: Excellent collaboration and communication skills to work effectively within a dynamic team environment. Client-Facing: Energetic, curious, and able to hold customer-facing conversations about AI solutions. More ❯

quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology, Engineering, Mathematics) discipline including, but not limited to Computer Science and Artificial Intelligence. Required Skills Vocational AI Experience: Demonstrated practical experience in AI development, potentially through internships, personal projects, or research. Cloud Platform Proficiency: Understanding of Google Cloud Platform (GCP) services relevant to AI … development such as Vertex and Gemini. Productivity Solutions: Familiarity with Google Workspace and the ability to leverage its tools for building productivity-enhancing AI solutions. Preferred Skills Fast Starter: Ability to quickly integrate into the team and begin contributing to projects, particularly with a view to client project involvement in Q1. Problem-Solver: A proactive and analytical approach … to identifying and solving complex challenges. Innovative Thinker: Passion for developing cutting-edge AI solutions and bringing new ideas to fruition. Team Player: Excellent collaboration and communication skills to work effectively within a dynamic team environment. Client-Facing: Energetic, curious, and able to hold customer-facing conversations about AI solutions. More ❯

quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology, Engineering, Mathematics) discipline including, but not limited to Computer Science and Artificial Intelligence. Required Skills Vocational AI Experience: Demonstrated practical experience in AI development, potentially through internships, personal projects, or research. Cloud Platform Proficiency: Understanding of Google Cloud Platform (GCP) services relevant to AI … development such as Vertex and Gemini. Productivity Solutions: Familiarity with Google Workspace and the ability to leverage its tools for building productivity-enhancing AI solutions. Preferred Skills Fast Starter: Ability to quickly integrate into the team and begin contributing to projects, particularly with a view to client project involvement in Q1. Problem-Solver: A proactive and analytical approach … to identifying and solving complex challenges. Innovative Thinker: Passion for developing cutting-edge AI solutions and bringing new ideas to fruition. Team Player: Excellent collaboration and communication skills to work effectively within a dynamic team environment. Client-Facing: Energetic, curious, and able to hold customer-facing conversations about AI solutions. More ❯

collaborate closely with investment, research, and engineering teams to build cutting-edge, web-based trading and research platforms. Your work will directly support discretionary trading desks by delivering robust analytical tools for pre-trade decision-making and risk evaluation. Key Responsibilities: Deeply understand the investment process and help define the future UI strategy within that context. Partner with technology … teams to evolve the investment toolkit platform using modern infrastructure and analytical frameworks. Communicate effectively across interdisciplinary teams including research, engineering, investing, and design. Become a subject matter expert in the firm's systems and technologies to accelerate the integration of analytics across workflows. Requirements: Strong programming skills in TypeScript/React and at least one backend language … to deliver high-quality UX/UI experiences. Passion for engaging with all aspects of fixed income and macro trading. Proficiency in Linux environments and cloud technologies. Excellent communication skills, both written and verbal. More ❯

collaborate closely with investment, research, and engineering teams to build cutting-edge, web-based trading and research platforms. Your work will directly support discretionary trading desks by delivering robust analytical tools for pre-trade decision-making and risk evaluation. Key Responsibilities: Deeply understand the investment process and help define the future UI strategy within that context. Partner with technology … teams to evolve the investment toolkit platform using modern infrastructure and analytical frameworks. Communicate effectively across interdisciplinary teams including research, engineering, investing, and design. Become a subject matter expert in the firm's systems and technologies to accelerate the integration of analytics across workflows. Requirements: Strong programming skills in TypeScript/React and at least one backend language … to deliver high-quality UX/UI experiences. Passion for engaging with all aspects of fixed income and macro trading. Proficiency in Linux environments and cloud technologies. Excellent communication skills, both written and verbal. More ❯

collaborate closely with investment, research, and engineering teams to build cutting-edge, web-based trading and research platforms. Your work will directly support discretionary trading desks by delivering robust analytical tools for pre-trade decision-making and risk evaluation. Key Responsibilities: Deeply understand the investment process and help define the future UI strategy within that context. Partner with technology … teams to evolve the investment toolkit platform using modern infrastructure and analytical frameworks. Communicate effectively across interdisciplinary teams including research, engineering, investing, and design. Become a subject matter expert in the firm's systems and technologies to accelerate the integration of analytics across workflows. Requirements: Strong programming skills in TypeScript/React and at least one backend language … to deliver high-quality UX/UI experiences. Passion for engaging with all aspects of fixed income and macro trading. Proficiency in Linux environments and cloud technologies. Excellent communication skills, both written and verbal. More ❯

SQL and dashboarding tools such as Tableau or Looker to communicate insight across the business Partnering with marketing and commercial teams to identify and influence customer growth opportunities Translating analytical findings into actionable recommendations that improve customer performance Requirements Strong SQL experience and familiarity with modern data environments Proven experience in ecommerce, tech, or other data-led B2C environments … Ability to translate analytical outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately £70,000 plus More ❯

SQL and dashboarding tools such as Tableau or Looker to communicate insight across the business Partnering with marketing and commercial teams to identify and influence customer growth opportunities Translating analytical findings into actionable recommendations that improve customer performance Requirements Strong SQL experience and familiarity with modern data environments Proven experience in ecommerce, tech, or other data-led B2C environments … Ability to translate analytical outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately £70,000 plus More ❯

SIEM tools (Splunk preferred, Microsoft Sentinel or equivalent acceptable). Experience with EDR solutions to support incident investigation. Understanding of threat actor tools, techniques, and procedures (TTPs). Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Desirable skills: Advanced Splunk experience or certification. Experience in Agile environments. Familiarity with cloud environments such as AWS. More ❯

direction to embedded data specialists, helping them deliver solutions aligned to business needs. Lead the rollout and ongoing enhancement of core data products and platforms. Work with operational and analytical teams to capture requirements and identify opportunities to create value from data. Build strong partnerships with senior stakeholders, positioning data as a key enabler of strategy. Define and communicate … the data roadmap across the business. Monitor team capabilities, highlighting skills gaps and shaping plans to address them. Ensure delivery remains agile and outcomes-focused, making the most of available resources and technology. Skills & Experience Strong background in data-centric roles, such as engineering, data science, analytics, or data product management. Proficiency with modern data tools and technologies More ❯

and SQL. Experience with IBM mainframe systems and tools. Good understanding of the software development lifecycle. Ability to work independently and in a team environment. Excellent problem-solving and analytical skills. Strong attention to detail and ability to deliver high-quality work. Effective communication and collaboration skills. Your Profile Essential Skills/Knowledge/Experience: Experience working in … of security integration patterns such as Basic Authentication, Client Authentication (mTLS), and OAuth (JWT). Experience with DevOps and Agile methodologies, including CI/CD practices and Jenkins. Desirable Skills/Knowledge/Experience: Java skill set. Strong foundation in Java, including OOP and functional programming (Java 8+). Familiarity with Spring Boot annotations, configuration, and deployment simplification. RESTful More ❯

to clients. - Collaborate closely with sales operations, practice leads, and marketing teams to ensure smooth delivery. - Represent the business at networking and industry events to strengthen market presence. Essential Skills & Experience: - Strong understanding of Microsoft Solutions & Services (M365, D365, Power Platform). - Proven success selling or delivering Microsoft-focused technology solutions. - Experience managing enterprise-level client relationships and complex … sales cycles. - Excellent communication, influencing, and presentation skills at senior stakeholder level. - Strong commercial acumen with the ability to translate technical capability into business value. - Skilled in deal origination, lead generation, pipeline management, negotiation, and closing. - Analytical mindset with the ability to assess performance metrics and adapt strategies. - A collaborative approach and ambition to be part of a More ❯

opportunities to clients. - Collaborate closely with sales operations, practice leads, and marketing teams to ensure smooth delivery. - Represent the business at networking and industry events to strengthen market presence.Essential Skills & Experience:- Strong understanding of Microsoft Solutions & Services (M365, D365, Power Platform). - Proven success selling or delivering Microsoft-focused technology solutions. - Experience managing enterprise-level client relationships and complex … sales cycles. - Excellent communication, influencing, and presentation skills at senior stakeholder level. - Strong commercial acumen with the ability to translate technical capability into business value. - Skilled in deal origination, lead generation, pipeline management, negotiation, and closing. - Analytical mindset with the ability to assess performance metrics and adapt strategies. - A collaborative approach and ambition to be part of a More ❯

high-impact research. Key Responsibilities Build and maintain data pipelines using modern tools on Google Cloud, including Python, Spark, SQL, BigQuery, and Cloud Storage. Ensure data pipelines meet the analytical and scientific needs of key applications. Deliver high-quality, production-grade code with testing and documentation. Develop, measure, and monitor key performance metrics across tools and services. Collaborate with … technical peers and participate in code reviews to maintain engineering excellence. Work cross-functionally with allied teams to deliver end-to-end, production-ready data solutions. Your Skills and Experience 2+ years of experience as a Data Engineer (or equivalent) with a relevant degree in a computational, numerate, or life sciences field. Strong experience with Google Cloud Platform (GCP … . Excellent programming skills in Python and SQL. Experience with Spark and DevOps tools (Terraform, GitHub Actions, etc.). Strong understanding of modern development practices (git/GitHub, CI/CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of More ❯

high-impact research. Key Responsibilities Build and maintain data pipelines using modern tools on Google Cloud, including Python, Spark, SQL, BigQuery, and Cloud Storage. Ensure data pipelines meet the analytical and scientific needs of key applications. Deliver high-quality, production-grade code with testing and documentation. Develop, measure, and monitor key performance metrics across tools and services. Collaborate with … technical peers and participate in code reviews to maintain engineering excellence. Work cross-functionally with allied teams to deliver end-to-end, production-ready data solutions. Your Skills and Experience 2+ years of experience as a Data Engineer (or equivalent) with a relevant degree in a computational, numerate, or life sciences field. Strong experience with Google Cloud Platform (GCP … . Excellent programming skills in Python and SQL. Experience with Spark and DevOps tools (Terraform, GitHub Actions, etc.). Strong understanding of modern development practices (git/GitHub, CI/CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of More ❯

Senior Data Insurance Analyst Location: Hybrid (London-based with flexible working) Salary: £85K -£100K – this is dependent on skills and experience TAs a Senior Data Insurance Analyst , you’ll work with cross-functional teams—underwriting, claims, finance, and product—to analyse large datasets, spot trends, and provide recommendations that influence key decisions. You’ll design data models, perform predictive … with Product Owner and Lead Data Engineer. Apply experience with Lloyd’s Syndicate speciality insurance data and Azure Databricks to accelerate migrations and analytics. What You’ll Bring Strong analytical expertise and experience working with insurance datasets. Hands-on knowledge of Azure Databricks and modern data platforms. Experience with Lloyd’s Syndicate speciality insurance data is highly desirable. Excellent … communication skills and a collaborative mindset. If you’re passionate about transforming data into strategic insights and want to make a tangible impact in the insurance sector, this role is perfect for you. More ❯

Senior Data Insurance Analyst Location: Hybrid (London-based with flexible working) Salary: £85K -£100K - this is dependent on skills and experience As a Senior Data Insurance Analyst, you'll work with cross-functional teams-underwriting, claims, finance, and product-to analyse large datasets, spot trends, and provide recommendations that influence key decisions. You'll design data models, perform predictive … with Product Owner and Lead Data Engineer. * Apply experience with Lloyd's Syndicate speciality insurance data and Azure Databricks to accelerate migrations and analytics. What You'll Bring * Strong analytical expertise and experience working with insurance datasets. * Hands-on knowledge of Azure Databricks and modern data platforms. * Experience with Lloyd's Syndicate speciality insurance data is highly desirable. * Excellent … communication skills and a collaborative mindset. If you're passionate about transforming data into strategic insights and want to make a tangible impact in the insurance sector, this role is perfect for you. More ❯

Senior Data Insurance Analyst Location: Hybrid (London-based with flexible working) Salary: £85K -£100K – this is dependent on skills and experience TAs a Senior Data Insurance Analyst , you’ll work with cross-functional teams—underwriting, claims, finance, and product—to analyse large datasets, spot trends, and provide recommendations that influence key decisions. You’ll design data models, perform predictive … with Product Owner and Lead Data Engineer. Apply experience with Lloyd’s Syndicate speciality insurance data and Azure Databricks to accelerate migrations and analytics. What You’ll Bring Strong analytical expertise and experience working with insurance datasets. Hands-on knowledge of Azure Databricks and modern data platforms. Experience with Lloyd’s Syndicate speciality insurance data is highly desirable. Excellent … communication skills and a collaborative mindset. If you’re passionate about transforming data into strategic insights and want to make a tangible impact in the insurance sector, this role is perfect for you. More ❯

Senior Data Insurance Analyst Location: Hybrid (London-based with flexible working) Salary: £85K -£100K – this is dependent on skills and experience TAs a Senior Data Insurance Analyst , you’ll work with cross-functional teams—underwriting, claims, finance, and product—to analyse large datasets, spot trends, and provide recommendations that influence key decisions. You’ll design data models, perform predictive … with Product Owner and Lead Data Engineer. Apply experience with Lloyd’s Syndicate speciality insurance data and Azure Databricks to accelerate migrations and analytics. What You’ll Bring Strong analytical expertise and experience working with insurance datasets. Hands-on knowledge of Azure Databricks and modern data platforms. Experience with Lloyd’s Syndicate speciality insurance data is highly desirable. Excellent … communication skills and a collaborative mindset. If you’re passionate about transforming data into strategic insights and want to make a tangible impact in the insurance sector, this role is perfect for you. More ❯

underwriting, policy issuance, endorsements, renewals, and claims. Experience working in Agile/Scrum environments with distributed teams. Solid knowledge of regulatory and compliance requirements within the insurance industry. Strong analytical, problem-solving, and stakeholder management skills. Familiarity with tools such as Jira, Confluence, Visio, Power BI, or Figma is a plus. Key Skills Agile methodology (Scrum, Kanban) Insurance More ❯

complex data into actionable insights, build dashboards, define KPIs, and work with cross-functional teams including product, engineering, and AI. You will need to have: Strong SQL and Python skills; bonus for PySpark, SparkSQL, Git Experience with Tableau or Power BI Passion for using data to drive decisions Knowledge of modern data platforms (Databricks, Snowflake) is a plus This … is a great opportunity to grow into Data Science or Analytical Engineering while making an impact across the business. No sponsorship available please send your CV to More ❯

projects to ensure seamless execution. About You: The ideal candidate for the Data Architect role will possess a blend of technical prowess and leadership skills. The desired qualifications and skills include: - Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency … in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company: Our client is a well-established organisation in their field, known for innovation and excellence. Specialising in niche data management and analytics consultancy, they offer the dynamism … of a burgeoning company whilst maintaining strong partnerships with longstanding clients. Their commitment is to help clients derive valuable insights from data and achieve their strategic objectives through analytical reporting and consultancy services. Perks and Benefits: The Data Architect role offers an array of benefits that enhance both your professional and personal life: - Flexibility to work remotely with option More ❯

projects to ensure seamless execution. About You: The ideal candidate for the Data Architect role will possess a blend of technical prowess and leadership skills. The desired qualifications and skills include: - Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency … in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company: Our client is a well-established organisation in their field, known for innovation and excellence. Specialising in niche data management and analytics consultancy, they offer the dynamism … of a burgeoning company whilst maintaining strong partnerships with longstanding clients. Their commitment is to help clients derive valuable insights from data and achieve their strategic objectives through analytical reporting and consultancy services. Perks and Benefits: The Data Architect role offers an array of benefits that enhance both your professional and personal life: - Flexibility to work remotely with option More ❯