101 to 125 of 374 SQL Jobs in the City of London

skills, experience and competencies required to be successful in this role: Bachelor’s degree in a relevant field. Proficiency in Excel for data analysis and reporting. Good understanding of SQL and relational databases. Understanding of other programming languages such as Python/VBA would be beneficial. Strong attention to detail and analytical thinking. Clear and concise written and verbal communication More ❯

e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional More ❯

e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional More ❯

in a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build More ❯

in a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build More ❯

elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. Hands-on More ❯

Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

intelligence, pricing strategy, and revenue management, preferably within the travel industry. Strong leadership skills and the ability to manage complex projects and teams. Understanding of data analysis tools (e.g., SQL, Tableau, Power BI). Fluency in English (essential) and French (advantageous). A proven ability to make informed, data-driven decisions that drive business performance. Highly analytical, numerate, and structured More ❯

intelligence, pricing strategy, and revenue management, preferably within the travel industry. Strong leadership skills and the ability to manage complex projects and teams. Understanding of data analysis tools (e.g., SQL, Tableau, Power BI). Fluency in English (essential) and French (advantageous). A proven ability to make informed, data-driven decisions that drive business performance. Highly analytical, numerate, and structured More ❯

programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right to work in the UK More ❯

programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right to work in the UK More ❯

a Permanent Full-time role. Paying up to £60,000 per annum. This role is hybrid - 3 days on-site a week (City of London). Skill set: Strong SQL - SQL test will be done prior to interview Power BI Experience London insurance market experience (Ideal) If this role is of interest please send Updated CV asap to (url removed More ❯

projects Act as the go-to person for data across business and technical teams SKILLS AND EXPERIENCE (Required) 3–4 years’ experience in analytics, BI, or data management Strong SQL and experience with Power BI (or other visualisation tools) Knowledge of data governance, GDPR, and data cleansing best practices Stakeholder engagement and commercial acumen Background in organisations like charity, membership More ❯

projects Act as the go-to person for data across business and technical teams SKILLS AND EXPERIENCE (Required) 3–4 years’ experience in analytics, BI, or data management Strong SQL and experience with Power BI (or other visualisation tools) Knowledge of data governance, GDPR, and data cleansing best practices Stakeholder engagement and commercial acumen Background in organisations like charity, membership More ❯

in the office) | £350/day (Inside IR35) | Initial 6 month contract Our Insurance client is looking for a Data Analyst/Business Analyst with Power BI, Excel and SQL knowledge and good Stakeholder Management skills. You'd be working on a project looking at data from a pre-processing techniques, to data cleansing, migration, building insightful Power BI dashboards More ❯

.NET Developer, C#, WPF - Asset Management - London (Tech stack: .NET Developer, .NET 9, C#, WPF, Azure SQL, MVVM, Prism, TDD, Agile, Scrum, Kanban, Programmer, Engineer, Architect, .NET Developer) Founded in 1930, our client is a leading investment manager with offices in Europe, Asia and North America. They manage over £120 billion across all asset classes and employ over 2000 people More ❯

growth. Ensure data accuracy, availability, security, and compliance. Partner with leadership to shape the company's tech and data strategy. Experience: Proven experience in data engineering, analytics, and reporting (SQL, Google BigQuery, Power BI, Looker, Tableau). Strong capability with API integrations and low/no-code tools (n8n, Zapier, Airtable, Make). Broad technical problem-solving skills, able to More ❯

junior engineers Sharing insights and innovations across the wider tech community Tech You'll Work With: AWS (SDK, CDK, Lambda, Step Functions) Node.js Java (Spring Boot) Terraform/CloudFormation SQL, GraphQL Postgres, DynamoDB (nice to have) Kubernetes, GitHub Actions, Quarkus (nice to have) What You'll Bring: Proven experience building distributed systems and serverless applications Strong grasp of clean code More ❯

related field; overseas study or internship experience is a plus. Experience: Relevant experience in e-commerce, retail, consulting, in category analysis/product operations is preferred; familiarity with Excel, SQL, Python, or visualization tools is preferred. Core Competencies: Fluent in Mandarin, curiosity and strong analytical thinking, good communication skills, eagerness to learn in a fast-paced environment, and proficiency in More ❯

related field; overseas study or internship experience is a plus. Experience: Relevant experience in e-commerce, retail, consulting, in category analysis/product operations is preferred; familiarity with Excel, SQL, Python, or visualization tools is preferred. Core Competencies: Fluent in Mandarin, curiosity and strong analytical thinking, good communication skills, eagerness to learn in a fast-paced environment, and proficiency in More ❯

to 4+ years’ experience in digital or web analytics Strong Adobe Analytics expertise, including segments, pathing, and attribution Skilled in Tableau or similar data visualisation tools Confident with SQL for writing queries and supporting deep dives Excellent communication skills, comfortable presenting to large senior audiences Solid understanding of digital marketing KPIs and strategy Exposure to personalisation or testing workflows is More ❯

environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts More ❯

customise and extend Umbraco CMS platforms to meet unique business requirements Takes pride in software craftsmanship and appreciates clean, well-designed codebases Has experience developing web-based applications with SQL databases Thrives in Agile environments, embracing ceremonies and iterative development Is well-versed in version control systems Possesses excellent communication and collaboration skills Bonus Points For: Experience working with Jira More ❯

PowerPoint, Word) with the ability to prepare reports and process documentation. Exposure to project lifecycle approaches (Agile, Waterfall, Hybrid) and experience contributing to backlog or delivery support. Familiarity with SQL or data analysis tools desirable, but not essential. If you are interested in this role, or other Product Management roles in insurance, please apply or contact Sofia Chaves (sofia.chaves@arthur.co.uk More ❯