276 to 300 of 4,042 Analytics Jobs in London

Technology - Deep knowledge of MS Data Platform technologies. - On prem and Azure knowledge - A good understating of all things data - data integration, warehousing, advanced analytics, etc - Strong knowledge of dimensional modelling techniques - Familiarity of data engineering tools and automation practices (CI/CD pipelines, DevOps etc) This is an excellent More ❯

with proven record designing or implementing quantitative finance models preferred Preferred Strong C++ knowledge Work experience in options pricing theory Work experience in Data Analytics and Machine Learning 1 Years of experience in a related field. More ❯

performance reporting across a highly visible Azure-based platform. Cloud Monitoring & Data Analyst responsibilities: Implement and manage monitoring tools (Azure Monitor, App Insights, Log Analytics) Set up dashboards and alerts across App Service, SQL, Blob Storage, and more Proactively detect incidents and escalate them before customers feel the impact Build More ❯

Qualifications: Educated to degree level in a Supply Chain or other relevant discipline Highly proficient with IT systems and thorough understanding of advanced data analytics tools including SQL, python, Power Query and Power BI Work Experience: Analytical capabilities Strong business discernment and judgment Ability to influence decisions by working across More ❯

contribution We're partnering with a specialist insurance business currently undergoing a significant data transformation. With a major focus on modernising its reporting and analytics infrastructure, there's now an exciting opportunity for a Data Engineer to play a key role in shaping a modern, cloud-first data environment. About More ❯

technical audiences Technical Skills Data modeling and database design principles Data governance tools and platforms ETL/ELT processes and technologies Business intelligence and analytics tools Cloud data platforms (AWS, Azure, GCP) Data quality management and profiling tools Metadata management principles Desired Certifications CDMP (Certified Data Management Professional) DAMA CDMP More ❯

AWS. You'll collaborate with data scientists, architects, and product teams to deliver production-grade ML systems across a variety of domains — from predictive analytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift More ❯

a centralized SQL Server data warehouse . Support the company’s BI and reporting infrastructure , ensuring optimal performance, security, and scalability. Enable company-wide analytics by building and managing SSAS OLAP cubes and facilitating seamless data access. Work with cross-functional teams to design and deliver end-to-end reporting More ❯

working in a Senior Software Engineer role Exposure to Python for data handling or transformation is a bonus Experience working with large datasets for analytics or search applications Knowledge of search technologies (Lucene, Solr, Elasticsearch, or OpenSearch) Familiarity with modern JavaScript frameworks like React or Vue (or openness to learning More ❯

Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than a job, it's an opportunity More ❯

Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than a job, it's an opportunity More ❯

Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than a job, it's an opportunity More ❯

will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed More ❯

Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time analytics, historical storage). Required Skills & Experience: Core Engineering: 5+ years of experience in software development, with exposure to both backend and frontend stacks. Strong programming More ❯

Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time analytics, historical storage). Required Skills & Experience: Core Engineering: 5+ years of experience in software development, with exposure to both backend and frontend stacks. Strong programming More ❯

Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time analytics, historical storage). Required Skills & Experience: Core Engineering: 5+ years of experience in software development, with exposure to both backend and frontend stacks. Strong programming More ❯

SQL Database and Azure SQL Managed Instance Knowledge of Azure Data Factory (ADF) for ETL processes Experience with Azure Data Lake and Azure Synapse Analytics Microsoft SQL Server 2018 Microsoft SQL Server Integration Services (SSIS) Microsoft SQL Server Profiler SQL Server T-SQL Programming SQL Server Schema modelling Data Modelling More ❯

SQL Database and Azure SQL Managed Instance Knowledge of Azure Data Factory (ADF) for ETL processes Experience with Azure Data Lake and Azure Synapse Analytics Microsoft SQL Server 2018 Microsoft SQL Server Integration Services (SSIS) Microsoft SQL Server Profiler SQL Server T-SQL Programming SQL Server Schema modelling Data Modelling More ❯

Computer Science or related technology discipline. Preferred Financial markets, trading and clearing systems. Experience with ServiceNow, particularly Incident, Ticket and Change modules. Reporting and analytics with Tableau, or similar such as Power BI. Proficiency with Microsoft Office Suite and the ability to manage and develop complex Excel Spreadsheets. Proficiency in More ❯

has lots more to come! The Role: As a Data Engineer, you'll design, build and maintain scalable data pipelines and architecture that support analytics feeding directly into customer-facing mobile and web applications, as well as internal tools used to drive strategic decisions. Key Responsibilities: Build and maintain scalable More ❯

visibility across the organization, it offers an excellent environment for growth and full utilization of potential. BASIC QUALIFICATIONS 2+ years of experience in data analytics or automation 2+ years of business analysis involving large, complex data sets Bachelor's degree Experience with data mining tools like SQL, SAS, SPSS, or More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS Experience using any data streaming technologies/paradigms for real-time or near-real time analytics More ❯