1,201 to 1,225 of 2,489 SQL Jobs in London

modelling and re engineering to streamline workflows and increase productivity. You will analyse data to identify trends, patterns, and insights that can inform decision-making using tools like Excel, SQL, or business intelligence software to extract, manipulate, and visualise data. Based on the gathered requirements, you will work with technical teams to design appropriate solutions to create system specifications, wire More ❯

understanding of reporting and performance metrics is essential. CRM Knowledge: Familiarity with CRM data structures and lifecycle marketing metrics such as engagement and retention. Technical Proficiency: Strong command of SQL , Python , or R , and experience with visualisation tools like Power BI and Tableau is essential. Google Cloud Platform (GCP) Experience: Hands-on skills with GCP and web/app analytics More ❯

understanding of reporting and performance metrics is essential. CRM Knowledge: Familiarity with CRM data structures and lifecycle marketing metrics such as engagement and retention. Technical Proficiency: Strong command of SQL , Python , or R , and experience with visualisation tools like Power BI and Tableau is essential. Google Cloud Platform (GCP) Experience: Hands-on skills with GCP and web/app analytics More ❯

see : Experience in using business intelligence to identify gaps and trends, or opportunities for product enhancements Knowledge in information technology and statistical analysis or computer programming for example Excel, SQL, and/or Python Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next More ❯

able to tune operating systems platforms for optimum performance Strong all-around IT background and ideally experience in electronic trading markets on similar environments Essential skills: Scripting (Python, Shell, SQL) and development skills for administration, monitoring and support tools Very good knowledge of DevOps tools like Jenkins, Ansible, Artifactory Good knowledge of common monitoring tools (ITRS Geneos, Zabbix) Good network More ❯

strong customer relationships Our Ideal Technical Account Manager will have: B.S. or M.S degree in Computer Science, Information Systems, Engineering, or equivalent practical experience Hands-on experience with Python, SQL, or Scala 5+ years of experience managing enterprise customer relationships as a Technical Lead or Technical Account Manager or equivalent role 3+ years of experience working with AWS, Azure, GCP More ❯

reporting, and interface issues. Experience in system configuration, P&L analysis, simulation views, static data, GOM, market data, market operations, EOD, pre-trade, and other FO areas. Knowledge of SQL and experience with reporting tools. Experience working with Jira & Agile SDLC. Excellent stakeholder management and communication skills. This is a multiyear contract role to join the Synechron SI Practice, based More ❯

reporting tools, optimizers or other analytics solutions. • Relevant experience in analyzing large data sets, data quality, and data warehousing to identify improvement opportunities • Relevant experience creating dashboards using Excel, SQL, and visualisation tools • Experience in Agile methodologies PREFERRED QUALIFICATIONS • Previous coding experience in R, Python, or VBA. Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯

or investment management experience 3+ years of experience in either of: Crypto, CS, TradFi, FinTech Be equally comfortable doing fundamental research and working with numerous, large datasets. Experience with SQL and Python (preferred) Know your way around CT/Discord/Dune Analytics/contracts on Etherscan to enhance your insight funnel Foundational knowledge of data science/math/ More ❯

Skills: 1+ years experience with Orgvue or similar platforms. Bachelor's degree in a technical or analytical field (e.g., Computer Science, Engineering, Math). Strong programming skills (JavaScript required; SQL, Python advantageous). Understanding of data management, modeling, and transformation. Proficiency in Microsoft Excel and PowerPoint. Excellent written and verbal communication skills. Experience working with stakeholders at various levels. Additional More ❯

Familiar with design patterns applied to the full stack Skilled in creating intuitive, user-friendly interfaces Expertise in building and maintaining RESTful APIs Hands-on experience working with both SQL and NoSQL databases Fluid verbal and written communication skills in English Nice to Have Practical experience building, deploying, and scaling containerized web applications in cloud environments Experience working with Python More ❯

support as part of a shared team rota to ensure platform availability. ABOUT YOU Proven expertise working with Databricks, including Unity Catalog. Strong programming skills in Scala, Python, Spark & SQL/MYSQL. Solid experience with version control systems, particularly Git. Strong background in designing and optimizing complex data pipelines and infrastructure. Experience leading and mentoring technical teams of data engineers. More ❯

with 5+ years of process improvement experience using data and metrics 5+ years of Workforce Management (WFM) experience supporting cross-functional teams Advanced Excel skills (Pivot Tables, VLookUps) and SQL knowledge PREFERRED QUALIFICATIONS 5+ years of end-to-end delivery and senior leadership communication experience Experience in process improvement, stakeholder management, project management, and scheduling We are committed to an More ❯

not just a reporting resource. What will you bring to the table? Significant experience in product/data analytics, ideally in tech or fast-moving environments. Strong technical skills: SQL (BigQuery), visualisation (Looker, Tableau), scripting is nice to have (e.g.Python). Deep experience working with product teams on KPI development, experimentation, and iterative product improvement. Strong business acumen and ability More ❯

analysis, diagnosis, troubleshooting & debugging Active Directory Administration Managing NTFS Permission Smart ticketing expert Telephone & software support for field service engineers Microsoft Windows Server 2008 & 2012 Desirable Working knowledge of SQL, Jira, Python or Oracle Knowledge of Networking Diploma or Degree in an I.T related field Understanding of Hardware, building PC's MS Office skills The Employment Agencies Act (EAA) is More ❯

environment, demonstrating strong communication skills. Basic knowledge of relevant regulations (e.g., AML directives, Card Scheme rules). Proficiency in using data analysis systems and tools, such as Excel, Looker, SQL, or Python, to extract and manipulate data for investigative purposes. Relevant certifications (e.g., CAMS, CFE, or progress towards them). More ❯

projects You have experience in project management, data operations, or AI-related workflows (previous experience in PMO roles is a plus) You are proficient in scripting languages like Python, SQL, or familiarity with relational databases and data annotation tools You are passionate in AI and machine learning, with experience in computer vision or generative AI being a strong plus You More ❯

/NumPy/Pandas and Java/C++ Experience working with distributed systems and large data sets Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or tick databases Experience working in a Unix environment and git Familiarity with Kafka, Docker, AirFlow, Luigi Strong communication skills in verbal and written English. Domain knowledge in futures More ❯

Preferred butNot Mandatory): BCS Practitioner Certificate in Business AnalysisPractice IIBA Certified Business Analysis Professional(CBAP) Familiarity with Microsoft Azure environments is anadvantage, especially in projects using Azure Data Factory, SQL, orService Bus. More ❯

insight experience , ideally with exposure to digital behaviour data Strong data storytelling skillsable to turn complex findings into digestible, business-relevant narratives Proficiency in data analysis tools (e.g. Excel, SQL, Python, Tableau, Power BI or similar) Proven ability to build, structure, and deliver insight reports that support marketing, BD, and client strategy Experience working cross-functionally in a collaborative, commercially More ❯

ideally within a digital environment. Strong leadership skills with a track record of developing and supporting high-performing teams through direct line management. Proficiency in tools such as Python, SQL, Tableau/Power BI, and platforms like GA4 and Databricks. Ability to communicate complex data concepts to non-technical audiences with clarity and confidence. Experience in applying machine learning, segmentation More ❯

statistical techniques and data modelling Profound understanding of relational database architecture and querying methodologies. Experienced of handling and amalgamating diverse data-sets from various sources. Demonstrated expertise in T-SQL for data querying and transformation. Confidence in building relationships with internal and external stakeholders, with the ability to communicate complex data capability in a way which fully engages them in More ❯

the advancement of analytical capabilities. Skills & Requirements 3+ years of experience working as a data engineer, analyst or analytics engineer. Ideally with at least 1+ years leadership experience. Strong SQL skills are essential. Demonstrable experience using visualisation tools, preferably Tableau. Strong knowledge of data warehousing and modelling, preferably using dbt. Experience in event-based analytics to measure user behaviour and More ❯

1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - • Strong analytical thinking - • Ability to creatively solve business problems, innovating new approaches where required and articulating More ❯

A master's or PhD degree in a quantitative science discipline, such as Economics, Statistics, Data Science, Econometrics, Math, or Financial Engineering 2+ years of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data quality issues Experience developing econometric or predictive models using SAS or Python is a plus Prior More ❯