1 to 25 of 13,734 Permanent Analytics Jobs in England

Analytics Consultant Onsite- London (hybrid 2 days a week onsite) £50,000- £75,000 DOE Do you come from a top 10 University? Are you motivated and driven? Gravitas has partnered with an industry leader in data and technology transformation, leveraging analytics and AI to optimise businesses’ decisions and processes. … strong critical thinking and a solutions-focused attitude. This position will suit someone with a minimum of 2 years + industry experience in Data Analytics or Analytics Engineering (Python and SQL), and qualifications from one of the UK's top 10 Universities, in Maths, Physics, or similar quantitative sciences. The … of some of their largest clients, collaborating with engineers and analysts to define and scope ambitious data projects, including both Machine Learning and Data Analytics projects. You MUST have: A degree (or higher) from one of the UK's top 10 Universities in Maths, Physics, or a similar technology-related More ❯

Analytics Consultant Onsite- London (hybrid 2 days a week onsite) £50,000- £75,000 DOE Do you come from a top 10 University? Are you motivated and driven? Gravitas has partnered with an industry leader in data and technology transformation, leveraging analytics and AI to optimise businesses’ decisions and processes. … strong critical thinking and a solutions-focused attitude. This position will suit someone with a minimum of 2 years + industry experience in Data Analytics or Analytics Engineering (Python and SQL), and qualifications from one of the UK's top 10 Universities, in Maths, Physics, or similar quantitative sciences. The … of some of their largest clients, collaborating with engineers and analysts to define and scope ambitious data projects, including both Machine Learning and Data Analytics projects. You MUST have: A degree (or higher) from one of the UK's top 10 Universities in Maths, Physics, or a similar technology-related More ❯

Analytics Consultant Onsite- London (hybrid 2 days a week onsite) £50,000- £75,000 DOE Do you come from a top 10 University? Are you motivated and driven? Gravitas has partnered with an industry leader in data and technology transformation, leveraging analytics and AI to optimise businesses’ decisions and processes. … strong critical thinking and a solutions-focused attitude. This position will suit someone with a minimum of 2 years + industry experience in Data Analytics or Analytics Engineering (Python and SQL), and qualifications from one of the UK's top 10 Universities, in Maths, Physics, or similar quantitative sciences. The … of some of their largest clients, collaborating with engineers and analysts to define and scope ambitious data projects, including both Machine Learning and Data Analytics projects. You MUST have: A degree (or higher) from one of the UK's top 10 Universities in Maths, Physics, or a similar technology-related More ❯

languages (Python, R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

languages (Python, R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

languages (Python, R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

languages (Python, R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

languages (Python, R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

languages (Python, R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

languages (Python, R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and More ❯

CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and More ❯

Manager to lead the strategy, development, and delivery of FX data products. This client-facing role requires deep expertise in data governance, integration, and analytics, with strong collaboration across product, technology, and commercial teams. The ideal candidate will drive data quality initiatives, support client engagement, and lead a team focused More ❯

Manager to lead the strategy, development, and delivery of FX data products. This client-facing role requires deep expertise in data governance, integration, and analytics, with strong collaboration across product, technology, and commercial teams. The ideal candidate will drive data quality initiatives, support client engagement, and lead a team focused More ❯

Data Product Team to design and deploy data applications built on our Azure Databricks platform to improve data accessibility, robustness and connectivity, enabling data analytics and data driven decisions to be made across the business. ?Key Accountabilities: Take ownership of data products throughout their entire lifecycle, from ideation and design More ❯

per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working. THE ROLE As a Data Warehouse Engineer , you will have the following More ❯

/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. Cloud Run/Workflows Understanding of Google’s marketing stack, Google Analytics, Google Tag Manager, Google Ads, Google Search Console Experience with low-code/no-code data platforms e.g. Retool, Hex Core Behaviours Pace: Know that More ❯

/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. Cloud Run/Workflows Understanding of Google’s marketing stack, Google Analytics, Google Tag Manager, Google Ads, Google Search Console Experience with low-code/no-code data platforms e.g. Retool, Hex Core Behaviours Pace: Know that More ❯

/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. Cloud Run/Workflows Understanding of Google’s marketing stack, Google Analytics, Google Tag Manager, Google Ads, Google Search Console Experience with low-code/no-code data platforms e.g. Retool, Hex Core Behaviours Pace: Know that More ❯

/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. Cloud Run/Workflows Understanding of Google’s marketing stack, Google Analytics, Google Tag Manager, Google Ads, Google Search Console Experience with low-code/no-code data platforms e.g. Retool, Hex Core Behaviours Pace: Know that More ❯

experience in a Data Engineering or Development role Strong SQL skills (essential); Python and C# (desirable) Hands-on experience with: Azure SQL, Azure Synapse Analytics, Azure Data Lake Microsoft Power BI, Power Automate Cloud platforms – Azure (primary), AWS (desirable) Experience with APIs, SaaS data integration, and ERP systems (e.g. Microsoft More ❯

experience in a Data Engineering or Development role Strong SQL skills (essential); Python and C# (desirable) Hands-on experience with: Azure SQL, Azure Synapse Analytics, Azure Data Lake Microsoft Power BI, Power Automate Cloud platforms – Azure (primary), AWS (desirable) Experience with APIs, SaaS data integration, and ERP systems (e.g. Microsoft More ❯

experience in a Data Engineering or Development role Strong SQL skills (essential); Python and C# (desirable) Hands-on experience with: Azure SQL, Azure Synapse Analytics, Azure Data Lake Microsoft Power BI, Power Automate Cloud platforms – Azure (primary), AWS (desirable) Experience with APIs, SaaS data integration, and ERP systems (e.g. Microsoft More ❯

technical audiences including clients at all levels including C-suite Skills we’d love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant More ❯

technical audiences including clients at all levels including C-suite Skills we’d love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant More ❯