126 to 150 of 373 SQL Jobs in the City of London

analysis, particularly around shipping. You'll design and run A/B tests to improve fulfilment strategies, assess supplier behaviours, and help drive efficiency across the operation. Proficiency in SQL, Python, and data visualisation tools like Tableau is essential, as is the ability to guide and mentor at least one direct report through high-impact analytics projects. This role offers … customer! SKILLS + EXPERIENCE Strong supply chain, operations, or inventory analytics experience. Skilled in A/B testing and experimentation—ensuring tests are designed and analysed correctly. Technical proficiency: SQL, Python, Tableau (or similar BI tools). Previous mentoring or people management experience. Good communication skills – you need to be able to work with seniors and translate to non-technical More ❯

designing and managing scalable data systems (warehouses, lakes, pipelines) Proficient with cloud platforms (Google Cloud) Experience with ETL/ELT tools and real-time data processing Strong knowledge of SQL, NoSQL, and data modeling techniques Familiar with BI tools (Tableau, Power BI, Looker) Solid understanding of data security, compliance, and governance TO BE CONSIDERED.... Please either apply by clicking online … express consent for us to process and submit (submit to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: ETL/ELT, GCP, SQL, NoSQL, Tableau, PowerBI, Data Governance, Data Security, Data Architecture, Strategy & Design, Data Warehousing More ❯

cross-functional role, primarily supporting the product development and BizOps teams, while also interfacing with the sales team. The ideal candidate will have a solid foundation in financial concepts, SQL, and data management, along with strong analytical thinking, initiative, and exceptional attention to detail. Experience with Notion and a CRM is beneficial. Candidates should demonstrate basic business acumen—the ability … rapidly scaling FinTech environment. Key Responsibilities 1. Manage Technical Platform Operations & Data Tools Configure and maintain internal tools using low-code platforms to enable new features and workflows. Use SQL and basic JavaScript to build and enhance dynamic data dashboards. Collaborate cross-functionally to gather requirements, define user workflows, and resolve issues related to internal tools. Monitor platform performance, troubleshoot … recent high-performing graduates will also be considered. Industry Experience: Experience in FinTech, the digital economy or AdTech is a plus but not required. Technical Skills: Strong proficiency Excel, SQL, and data analytics tools and the ability to interpret and work with complex datasets. Operational Experience: Exposure to loan processing, payment operations, and financial compliance is advantageous. Team Collaboration: Strong More ❯

working basis, with 2 days at home per week (Mon and Fri). This job would suit someone with at least 3 years’ experience in data analytics using mainly SQL, with Python as well, with strong client facing skills and previous experience in driving commercial impact through the data on projects. This person will be responsible for delivering analytical and … and what can be ascertained from this. Excellent communication skills are a must due to the ongoing communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as More ❯

working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked with cloud-based environments before (we use AWS) SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake Version control: You are proficient with git Soft Skills : You are an excellent communicator, with an More ❯

of Research A new opportunity with a specialist analytics and research body in the media and advertising sector. This is a great fit for someone with a background in SQL, spatial data (nice to have!) , and insight generation , looking to apply their technical skillset in a small, collaborative team with industry-wide impact. The Company This organisation provides the official … stakeholders Occasionally work with R and Python on pre-built models Optional: contribute to development of internal tools with basic HTML/JavaScript/CSS The Ideal Candidate Strong SQL skills (essential) Proven experience in analytics and insight delivery (3+ years) Comfortable working with spatial data and movement patterns (nice to have) Background in media, advertising, or a research-heavy More ❯

Product Owner) within IT or data-driven environments. • Proven track record of integrating analytics into product/portfolio management processes. • Strong hands-on expertise in Power BI , Tableau , and SQL . • Experience working in agile environments and supporting cross-functional teams . • Strong communication and stakeholder management skills, including the ability to drive cultural and capability shifts. • Familiarity with data More ❯

to roll out meaningful insight-led solutions. 🎯 Required Experience: Strong stakeholder management and communication skills Excellent problem-solving and a detail-oriented mindset Technical understanding of tools such as SQL, Power BI, Tableau Experience delivering projects with data, insight or analytics teams Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page. More ❯

analysis to support operational and retail performance. Creating business cases for investments and strategic initiatives. Identifying trends, risks, and opportunities using advanced analytics. Requirements: Strong data and analytical skills (SQL, Advanced Excel, Power BI with Python/Amazon RDS desirable) Experience in operations, retail, or multi-site businesses. Proven consulting skill-set Ability to translate complex challenges into actionable insights. More ❯

model design Proven experience of developing high calibre teams to exceed their expectations Sales acumen, identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc. More ❯

t miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed). AI (artificial intelligence),Azure Data Factory, Python, Oracle, SQL, Mongo, Financial Services, Chat GPT, CoPilot, Jira More ❯

and propensity modelling. Develop compelling data visualisations and dashboards to communicate findings. Provide mentorship or line management to more junior team members. Your Skills & Experience Strong coding ability in SQL and Python . Solid experience in data visualisation (e.g. Power BI, Tableau, or similar). Proven background in applying techniques like propensity modelling, clustering, regression, and forecasting . Commercially minded More ❯

with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong acumen for application health through performance monitoring, logging, and debugging AWS or More ❯

Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership experience in a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong technical expertise in AI/ML and advanced analytics. Excellent problem-solving, communication, and stakeholder management skills. Strategic vision and business acumen. **Please More ❯

and analytics teams Contribute to scalable data pipeline and feature store development Requirements: 3+ years of experience as a Data Scientist in a commercial setting Strong skills in Python, SQL , and machine learning libraries (e.g., scikit-learn, XGBoost, etc.) Familiarity with cloud platforms (e.g., AWS, GCP) and version control (e.g., Git) Experience working with financial or transactional data is a More ❯

Create as-is and to-be state dataflows using UML’s or data flow diagrams Create source to target mapping including transformation logic/business rules for complex scenarios SQL skills and experience with relational databases Experience in improving the data quality through profiling and rule implementation. Ability to measure improvements in quality and identify the value that delivers Understanding More ❯

.NET Developer, .NET 9 - Social Networking Site - London (Tech stack: .NET Developer, .NET 9, C#, Web API 2, Entity Framework, Microservices, Azure, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is the world's largest social-networking web site More ❯

and ongoing technical documentation.Share best practices and contribute to continuous improvement. About you: Experienced in developing RESTful APIs and implementing OAuth 2.0 authentication. Skilled in Python (preferably FastAPI), Git, SQL, and cloud services like Microsoft Azure. Familiar with technologies such as: Airbyte, Rivery and Hevo Familiar with HR, Payroll, Recruitment, and L&D terminology and workflows. Able to work independently More ❯

Qualifications: Recent graduate with a degree in STEM, Data Science, or a related field. Strong analytical and problem-solving skills. Proficiency in data analysis tools and software (e.g., Excel, SQL, Python). Excellent presentation skills Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Interest in customer engagement and market research. If you are More ❯

analytics with strong stakeholder management and the ability to bridge the communication gap from technical insights to the non-technical teams. - Strong experience with Google Analytics (GA4) - Expertise in SQL and/or Python, data visualisation toold (Tableau, Power BI, Looker) and tag management (GTM, Tealium) - Previous experience working with marketplace data (Zalando, ASOS, Amazon, etc More ❯

of Terraform and Infrastructure as Code principles Familiarity GitHub, GitLab, CI/CD, YAML Configuration/Policy/Documentation as Code proficiency Hands-on experience with scripting (PowerShell, Python, SQL) and APIs Experience with Kubernetes clusters and microservices Experience with Microsoft Defender for Cloud, CSPM, CWPP Strong technical documentation and operational handover capabilities Experience working in Agile and distributed team More ❯

feature enhancements • Leading code reviews and enforcing best practice within a small, agile, focused team • Mentoring junior colleagues What you will need: • Extensive commercial software development experience using C++ • SQL experience • Unix/Linux experience • Relevant degree in a numeric discipline, or equivalent work experience • Excellent written and spoken English Added bonus if you have: • Oracle Experience • Experience of event More ❯

a proactive mindset Desirable: Experience with Alfa Systems or similar financial technology platforms Knowledge of asset finance and leasing products Proficiency in data analysis tools such as Excel or SQL Exposure to Agile methodologies and collaboration tools like JIRA or Confluence Education & Qualifications: Preferred: Business Analysis certifications (e.g., BCS, CBAP) Agile or Project Management certifications (e.g., CSM, PMI-ACP) Technical More ❯

working extensively with eFront, ideally within a private credit or alternative investments environment. Strong Analytical Skills: A solid background in systems and data analysis, including experience with relational databases (SQL is a plus). You're comfortable working with large datasets and drawing actionable insights. Financial Services Context: Experience supporting finance, fund accounting, or loan operations teams within a financial More ❯

testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum More ❯