651 to 675 of 6,279 Analytics Jobs in England

Analytics Manager - Exclusive Opportunity!! I am working exclusively with a leading business based in Hampshire. They are seeking a strategic and hands-on Analytics Manager to lead the centralisation and optimisation of their analytics function. Working within a manufacturing environment, this role will be pivotal in driving data-driven decision … with Sales, Engineering, and other key business functions you will ensure cohesive data strategy and reporting alignment. Key Responsibilities: Lead the centralisation of data analytics across the organisation, ensuring consistency, accuracy, and accessibility of business insights. Develop and maintain dashboards and reports using Power BI and Crystal Reports, with data … requirements into analytical solutions, working closely with cross-functional stakeholders. Train and support end-users in the use of reporting tools and interpretation of analytics outputs. Skills & Qualifications The ideal candidate will possess the following mix of skills and experience: Bachelors’ Degree in Data Analytics, Business Intelligence, Computer Science, or More ❯

DATA AND ANALYTICS CONSULTANT UP TO £38,000 LONDON – HYBRID – 2X A WEEK *Please note, you must be a UK resident with full right to work* THE COMPANY This mid-size Performance Marketing agency has global offices and works directly with some major clients in a range of sectors. THE … join an agency early on in their career and work on a range of projects. Ideally you’ll already have a broad scope of analytics experience, but want support to further develop your technical capabilities. SKILLS + EXPERIENCE Experience using SQL and BigQuery in a working environment Have an interest … in Digital Analytics – bonus points if you’ve used Google Analytics or similar Understanding of Digital Marketing and how things work across SEO, PPC and web analytics Must have experience with at least one data visualisation tool – open to any, e.g. Looker, Tableau, Power BI or equivalent HOW TO APPLY More ❯

Role: Analytics Engineer 📝 Reports to: Director of Analytics 👫 Team: Data 🌍 Location: Holborn, London ⭐ Office Policy: 3 days in person, 2 days at home each week 📝 Contract type: Permanent, full time Who We Are: As one of the fastest growing companies in the UK, we’ve redefined how a for-profit … done before. Culture: We work hard, grow together, and spread joy along the way. 🔑 About The Job At Omaze, we are taking our internal analytics function to the next level. As Senior Analytics Engineer, you will have sole ownership of analytics engineering at Omaze. You will use industry standard tools … and platforms (dbt, Snowflake, ThoughtSpot) to amplify the effectiveness and impact of our (growing) analytics team. You will provide clean, tested, well-documented models, and work with our data engineer to give the team access to new data sources. 🔧 What You’ll Be Doing Fully own our dbt project, building More ❯

You will need to login before you can apply for a job. Business Analyst, analytics and insights, EU AMZL Capacity Planning Analytics View more categories View less categories Sector Data Science ,Technology Role Analyst Contract Type Permanent Hours Full Time DESCRIPTION The goal of Amazon Logistics (AMZL) is to build … In order to support the fast growth of AMZL, we are constantly monitoring, evaluating and adjusting our planning inputs and insights. As an Analyst, Analytics & Insights in the Capacity Planning Team, you will translate key strategic questions into insights and forecasting planning inputs, having a direct impact on decision made More ❯

Engineer to conduct multiple proof of concepts using different technical solutions. The following skills/experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like More ❯

Engineer to conduct multiple proof of concepts using different technical solutions. The following skills/experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like More ❯

Engineer to conduct multiple proof of concepts using different technical solutions. The following skills/experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like More ❯

Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

in a relevant field such as Mathematics, Risk, Insurance, or Actuarial Science 6-10 years of experience in exposure management, cat modelling, or insurance analytics Strong working knowledge of the Lloyd's and London Market, with an understanding of underwriting processes Skilled in data manipulation and analysis using Python and More ❯

Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

understanding of energy markets (e.g., imbalance settlement, trading cycles, market participants). Proficient in Excel (pivot tables, VLOOKUPs, formulas); knowledge of SQL or data analytics tools is a plus. Strong analytical and problem-solving skills. Ability to work independently and in a team in a hybrid environment. Excellent communication and More ❯

cross-functionally, preparing and presenting reports to guide business strategy and project outcomes. Essential tools - Power BI Python BigQuery Google Cloud Platform Looker Google Analytics 4 (GA4) Solid understanding of CRM data structures and behaviours Comfortable working with large, complex datasets Experience in sports or retail is prefferable More ❯

Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

cross-functionally, preparing and presenting reports to guide business strategy and project outcomes. Essential tools - Power BI Python BigQuery Google Cloud Platform Looker Google Analytics 4 (GA4) Solid understanding of CRM data structures and behaviours Comfortable working with large, complex datasets Experience in sports or retail is prefferable More ❯

innovative solutions. Key Responsibilities: Develop advanced models using machine learning and AI. Code algorithms in C# with Python for data analysis. Collaborate with trading, analytics, and engineering teams. Candidate Requirements Experience: 3+ years in sports betting with a focus on quant innovation. Skills: Machine learning, AI expertise, and strong C# More ❯

support and incident resolution. Ensuring data quality and completeness. Adhering to governance requirements and handling ad-hoc requests. Required Skills Extensive experience in data analytics development. Proficiency in data engineering and complex data modelling using Fabric/Azure. Expertise in app/DWH development and support with Microsoft Azure/ More ❯

innovative solutions. Key Responsibilities: Develop advanced models using machine learning and AI. Code algorithms in C# with Python for data analysis. Collaborate with trading, analytics, and engineering teams. Candidate Requirements Experience: 3+ years in sports betting with a focus on quant innovation. Skills: Machine learning, AI expertise, and strong C# More ❯

of risk modelling capabilities across various asset classes. To be considered for the role applicants must have a strong background in data science or analytics, ideally within a financial institution. Candidates must have experience within a Risk function or a strong understanding passion when it comes to Investment Risk. Proficiency More ❯

technical capability across digital platforms, cloud environments, and automation initiatives. Managing full project life cycles. Required experience: Proven experience leading enterprise-level data and analytics functions, ideally within a Microsoft tech stack. A strong track record of optimizing complex data environments and implementing high-impact AI solutions. Hands-on expertise More ❯

critical to the success of a large-scale transformation programme, focused on consolidating multiple data sources into a unified, scalable architecture to enable improved analytics, data governance, and operational insights. Technical requirements: Substantial experience designing and implementing data solutions on Microsoft Azure Hands-on expertise with Snowflake, including data modelling More ❯

reports and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modeling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Expertise in machine More ❯

reports and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modeling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Expertise in machine More ❯

HR, Payroll and SCM. Experience in writing and understanding SQL & PL/SQL. Able to understand functional requirements and determine solutions. Experience in BI analytics platforms like Oracle Discoverer, OBIEE, Power BI, Tableau, etc. Experience in building reports and dashboards. Currently or previously SC cleared. Good to have: Should be More ❯

cloud monitoring, data analysis, or DevOps support Strong expertise in Microsoft Azure services (App Service, SQL DB, Blob Storage, Azure Monitor, Application Insights, Log Analytics) Automation scripting (PowerShell, Python, Azure Functions) Experience with C# is a bonus Analytical mindset with the ability to turn data into actionable insights Experience working More ❯

develop PowerApps as well as stakeholders who require process and input method design ideas and support from start to finish. Develop, implement and maintain analytics working with other data analysis in the team to identify and forecast trends/patterns in complex data sets. Candidates will have excellent analytical and More ❯