126 to 150 of 3,031 Analytics Jobs in London

Manager, Business Intelligence Engineer, III, Amazon FinAuto - GREF Tech The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and … III to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate … Amazon QuickSight • Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to More ❯

Business Intelligence Engineer II, Amazon FinAuto - GREF Tech The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products … II to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate … Amazon QuickSight • Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to More ❯

and functions to achieve these goals. What will my accountabilities be? As a Restaurant Technology Problem Manager, you will be responsible for owning ITIL Problem Management and Service Data Analytics whilst managing a team of Site Reliability Engineers and Level 3 technical subject matter experts. Your accountabilities could be refined as follows: Own ITIL Problem & Change Management Take ownership of … Collaborate with development teams to advocate for reliability engineering principles throughout the software development lifecycle, detecting and correcting performance issues to meet availability goals. Manage Service Operations data and analytics Take charge of the management and roadmap of an internal data lake house and its downstream reporting, delivering early insights and value to the business. Enforce data governance policies and … practices to ensure the quality, security, and integrity of data. Utilise advanced analytics and machine learning techniques to develop actionable insights from data, contributing to the enhancement of system reliability and performance. What Team will I be a part of? This role will operate within the Running Great Restaurant Technology (RGRT) team Who are my customers? Reporting directly to the More ❯

also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate … end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to … scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is More ❯

Metyis is growing! We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. Our long-term … building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming. Experience with Airflow and Kubernetes. Programming skills in Python (PySpark) and scripting languages like Bash. Knowledge of Git, CI/CD operations, and Docker. Basic PowerBI knowledge More ❯

Data Analytics Manager - Google Analytics, SQL Data Analytics Manager position offering equity stake within a rapid growth online games company. Do you have strong Google Analytics & SQL Skills? Good commercial acumen with ability to deal at CEO & CMO level? Want to head your own department in the next 18 months? The Data Analytics Manager will join a company providing sports … into the Chief Data Scientist, but also work very closely with the CMO, as well as having regular contact with the CEO. Over the next 18 months the Data Analytics Manager will be given the opportunity to own this area of the business and grow a team. You will be responsible for 3 areas of the business -focused around Customer … team Getting data to the right people - using SQL or other languages to produce data-only reports that can be automated and sent to various different department heads Data Analytics Manager -Required Skills: Very strong Analytically, probably coming from a Numerate degree background SQL Very good Google Analytics skills Experience of building dashboards & reports Experience of presenting insights to senior More ❯

including marketing, operations, and product development, to understand data needs and deliver solutions. Support decision-making processes by providing timely and accurate data insights. Skills Required: Proficiency in data analytics tools such as Python, R, or SQL. 2+ years hands-on experience with data visualization platforms Tableau, Power BI, or Excel. Ability to manage multiple projects and meet deadlines. Excellent More ❯

AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong portfolio of successful projects. Implement and deploy AI models into production environments. Monitor and evaluate the performance of AI models and make necessary adjustments. Provide training and More ❯

AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong portfolio of successful projects. Implement and deploy AI models into production environments. Monitor and evaluate the performance of AI models and make necessary adjustments. Provide training and More ❯

cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master's degree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git More ❯

cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master's degree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git More ❯

cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master's degree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git More ❯

cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master's degree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git More ❯

UK (Cannot provide sponsorship) Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings. Day-to-day of the role: Model Development More ❯

the automation of data workflows Provide support for ad hoc analytical requests and contribute to projects as needed The Skills You'll Need to Succeed: Degree educated in Business Analytics, Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL More ❯

the automation of data workflows Provide support for ad hoc analytical requests and contribute to projects as needed The Skills You'll Need to Succeed: Degree educated in Business Analytics, Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL More ❯

Preparation of data for modelling Quantify the catastrophe risk using vendor catastrophe models Operation of geo-visualisation tools including Arc GIS Contribute to the Global Markets Direct and Fac Analytics service offering development Understand and evaluate the impact of updates and revisions to models and the outputs produced Communicate results effectively to all stakeholders (i.e. cat modellers/brokers/ More ❯

Preparation of data for modelling Quantify the catastrophe risk using vendor catastrophe models Operation of geo-visualisation tools including Arc GIS Contribute to the Global Markets Direct and Fac Analytics service offering development Understand and evaluate the impact of updates and revisions to models and the outputs produced Communicate results effectively to all stakeholders (i.e. cat modellers/brokers/ More ❯

to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) IIBA-CCBA certification preferred Basic proficiency in at least one of the most commonly used backend programming languages More ❯

decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format • Partnering with other analysts and BI engineers in planning and analytics to build analytical solutions to deliver on business goals • Propose and implement business metrics for senior management reviews and work with business intelligence and data engineers to design and develop More ❯

benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance More ❯

to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) Desirable IIBA-CCBA certification preferred Basic proficiency in at least one of the most commonly used backend programming More ❯

This includes process mapping, requirements gathering/documentation, user story definition, functional specification definition, data modelling techniques, gap analysis, and financial appraisal techniques. Data Analysis Competence : Knowledge of data analytics and proficiency in using tools for data analysis and visualisation. Change and Transformation Exposure : Significant experience working within a change and transformation environment, with a fundamental understanding of change delivery More ❯

day, you will build observable, scalable and resilient data services that ingest data from source systems into consuming applications such as our data warehouse to meet the needs of analytics engineers and stakeholders. You will make significant contributions to solution designs, provide technical guidance to other team members and champion iterative approaches to software delivery. You will work within a More ❯

Cybersecurity: Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. Database Knowledge: Skills in databases like SQL, NoSQL, or data analytics tool Skills: Communication (Oral/Written) What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork More ❯