676 to 700 of 2,902 SQL Jobs in London

an analytics/BI engineer at a mid/senior level, but is now not looking to do individual contributor work Have worked with SQL in the last 2 years Familiarity with modern cloud data stack (Snowflake, Prefect, Looker, or AWS) Have experience working with senior partners in projects, and More ❯

field. You possess 3-5 years of experience in a data science role, preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate More ❯

understanding of FX market structure, trading strategies and risk management principles Experienced with time-series analysis, econometrics, and machine learning techniques Strong Python and SQL skills with experience in numerical computing and statistical analysis Experience using notebooks (e.g. Jupyter), Tableau or other data science tools for analysis and visualization A More ❯

of the broader context of cyber risk (e.g. Politics, International Relations, Languages, or other related fields). Familiarity with data analysis tools like Python, SQL, or business intelligence platforms to support data-driven insights and threat intelligence development. Strong verbal and written communication skills, with the ability to simplify technical More ❯

and analytics. What You Bring Extensive experience in analytics engineering or model/data engineering roles. Advanced Python coding skills (Numpy/Pandas) and SQL expertise. Proven ability to lead technical workstreams and mentor other engineers. Strong communication skills to navigate client relationships and translate technical insights into business value. More ❯

methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both More ❯

methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both More ❯

and lead others in the future. Qualifications Bachelor's degree or equivalent experience in Computer Science or related field Development experience with programming languages SQL database or relational database skills More ❯

and lead others in the future. Qualifications Bachelor's degree or equivalent experience in Computer Science or related field Development experience with programming languages SQL database or relational database skills More ❯

engineering concepts and applied experience Advanced knowledge of Object oriented programming - Java, Spring and associated back end technologies Strong knowledge of Relational DB technologies - SQL, Oracle, and working knowledge on noSql databases Strong knowledge on UI technologies - Typescript, React, Vite, Jest and associated libraries/frameworks Knowledge on MQ, Kafka More ❯

wider team. Represent the Gaming Analytics team in cross-functional meetings/project teams when necessary. Qualifications Strong analytical skills with expert knowledge of SQL and database structure. Proficient in data visualization tools (PowerBI, Tableau) and advanced Excel. Strong presentation skills and ability to gather and complete stakeholder requirements. Solid More ❯

in Computer Science, Engineering, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience working with large-scale datasets and database systems (SQL and NoSQL). Understanding of software development lifecycle and agile methodologies. Proven experience designing, developing, and deploying machine learning models. Experience with debugging ML models. More ❯

or more OOPS programming languages (mainly .NET). Deep understanding of software applications and technical processes, with significant expertise in specific technical areas (e.g., SQL) and scaling within an enterprise cloud environment. Capable of independently addressing design and functionality issues with minimal supervision. Advanced knowledge of testing automation, multiple programming More ❯

tools). Intermediate Fluency in MS Excel (for analysis and data modelling). Experience of Databricks or similar, ability to run and understand basic SQL code and/or Python. Basic Power Automate and data visualisation tools e.g. Tableau experience is an advantage. Experience of delivering small analytical projects individually More ❯

and senior stakeholders. Ability to juggle and prioritise multiple ongoing initiatives, projects, tasks, and time-sensitive requests. Familiarity with data analysis tools (such as SQL, Tableau, Python, and R). Naturally curious, eager to learn, and enjoy problem-solving! StackAdapters Enjoy: Competitive salary. Private Medical Insurance cover. Auto-enrolment into More ❯

from different disciplines. - To be proficient with MS Office, including Word, PowerPoint, and advanced Excel. - To be technically capable with skills in Power BI, SQL, Python or similar an advantage. Initial interviews will be held in the week commencing 2nd June via MS Teams, followed by in-person interviews at More ❯

related fields 5+ years of experience with data and data architecture Strong understanding of cloud data technologies Proficiency in data modelling and design, including SQL development and database administration Experience with data lake and data warehouse. Experience with Azure Purview or data lineage similar tools. Experience with information security, data More ❯

with cross functional teams (technical, business, legal) - Experience in influencing senior leadership through data driven insights PREFERRED QUALIFICATIONS - MBA or advanced degree - Proficiency in SQL, Microsoft Excel and statistical analysis tools - Demonstrated experience in category management, customer experience management, brand management or vendor management - Strong organizational and multitasking skills with More ❯

including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - Bachelor's degree or equivalent - Experience with SQL - Experience making business recommendations and influencing stakeholders - 3+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw More ❯

dimensions. Good data quality problem solving skills. High level of attention to detail. Competent in the use of Outlook, Microsoft Office & Excel. Competent in SQL, Python, and PowerBI Experience of designing data ingestion data quality pipelines in a data platform Good communication skills both written and verbal. Team working- it More ❯

s degree. • Experience working in a product classification function. • Experience querying relational databases and ability to pull data from multiple sources; advanced level in SQL is an advantage. • Experience working with Machine learning models and/or AI tools Amazon is an equal opportunities employer. We believe passionately that employing More ❯

GTM or Sales Strategy and Operations, Finance, Accounting, etc. Proficiency in data analysis tools such as Excel and Google Sheets, with bonus points for SQL experience and Tableau. Knowledge of CRM platforms (e.g., Salesforce, HubSpot) and experience creating C-suite-level dashboards. Experienced in working with commission tools, ideally SPIFF More ❯

content along with previous experience in a commercial environment working as an analyst and be proficient with a range of tools and techniques including SQL, Excel, Visualisation Tools, and Python is preferrable. With a creative and proactive approach to problem-solving, combined with a focus on detail and accuracy you More ❯

geographic complexities What we're looking for: Over 5 years of experience in financial crime investigations within eCommerce, Payments, Banking, or Gaming Proficiency in SQL and MS Office Knowledge of visualization tools (Tableau) and risk systems (Feedzai, ThreatMetrix) Bachelor's degree in Business Administration, Economics, Statistics, Cyber Security, or equivalent More ❯

implementation with Data lake and Data Warehouse. Experience in developing software code using one or more programming languages/frameworks such as Python, Spark, SQL, etc. Experience leading large-scale full-cycle MPP enterprise Data Warehousing (EDW), Data Lake and Analytics projects PREFERRED QUALIFICATIONS AWS experience preferred, with proficiency in More ❯