201 to 225 of 719 Analytics Jobs in Manchester

maximize profitability, increase revenue and take productivity to new levels. ConnexAI provides cutting-edge, enterprise-grade AI applications including AI Agent, AI Guru, AI Analytics, ASR, AI Voice, and AI Quality. More ❯

understanding of decentralized finance, AMM models, liquidity pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building More ❯

understanding of decentralized finance, AMM models, liquidity pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building More ❯

understanding of decentralized finance, AMM models, liquidity pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building More ❯

Participate in process harmonisation efforts across international teams and contribute to developing a cohesive Quality Assurance strategy. Explore and apply AI and advanced data analytics techniques to develop innovative quality management solutions. What We Are Looking For: Experience in product quality management within a manufacturing environment. Operational experience in a More ❯

Participate in process harmonisation efforts across international teams and contribute to developing a cohesive Quality Assurance strategy. Explore and apply AI and advanced data analytics techniques to develop innovative quality management solutions. What We Are Looking For: Experience in product quality management within a manufacturing environment. Operational experience in a More ❯

Participate in process harmonisation efforts across international teams and contribute to developing a cohesive Quality Assurance strategy. Explore and apply AI and advanced data analytics techniques to develop innovative quality management solutions. What We Are Looking For: Experience in product quality management within a manufacturing environment. Operational experience in a More ❯

and management , with the ability to write, configure, and develop policies to protect sensitive data and ensure regulatory compliance. Familiarity with End-User Behaviour Analytics (EUBA) and Insider Risk Management processes and tools. Proven experience in analysing and responding to DLP alerts and incidents , collaborating with the Incident Response team More ❯

and management , with the ability to write, configure, and develop policies to protect sensitive data and ensure regulatory compliance. Familiarity with End-User Behaviour Analytics (EUBA) and Insider Risk Management processes and tools. Proven experience in analysing and responding to DLP alerts and incidents , collaborating with the Incident Response team More ❯

English skills with an eye for compelling content opportunities. Analytical mindset, with the ability to draw actionable insights from SEO tools such as Google Analytics, Search Console, Ahrefs, or SEMrush. Self-starter mentality with the confidence to find opportunities and drive them forward independently or as part of a team. More ❯

and management , with the ability to write, configure, and develop policies to protect sensitive data and ensure regulatory compliance. Familiarity with End-User Behaviour Analytics (EUBA) and Insider Risk Management processes and tools. Proven experience in analysing and responding to DLP alerts and incidents , collaborating with the Incident Response team More ❯

success in developing and implementing highly effective digital marketing and e-commerce trading/merchandising strategies . Exceptional proficiency in data analysis and using analytics tools to drive strategic decision-making. Strong leadership, communication, and interpersonal skills, with a passion for driving a business forward. Experience with Magento would be More ❯

legacy outputs (e.g. csv) any apply data munging/transformation. RDBMS experience. Linux CLI. Desirable Skills Experience using Stencil and Handlebars. Experience with Google Analytics and Google Ads/Merchant centre. Experience using GCP/AWS environments. Experience with Klevu. Markup and styling languages, templating systems, Javascript including libraries/ More ❯

leading Agile teams and workflows. Agile Certified Practitioner (PMI-ACP) – For Agile project management strategies. PRINCE2 Certification – Beneficial for process-based project management. Google Analytics IQ Certification – for understanding web performance metrics. Certified Web Professional – Web Developer (CWP) – for expertise in web development. AWS Certified Solutions Architect – useful for hosting More ❯

capabilities, features, and functionalities. A Few Things About You Ability to understand complex business problems and identify and interpret business needs. Experience with website analytics tools Advanced knowledge of agile development methodologies. Demonstrated facilitation and influencing skills to drive decision making among stakeholders with diverse perspectives and priorities. Demonstrated ability More ❯

of industry clouds provided by AWS, Azure, GCP in one or more industry domains Understanding of the role of cloud for transformation of data & analytics, customer experiences and enterprise transformation Understanding of cloud operating models for public/private, hybrid and multi-cloud Understanding of cloud security models, DevSecOps and More ❯

Role: As a Data Ops Engineer, you will be responsible for enhancing the efficiency and reliability of our data management processes, supporting our advanced analytics, machine learning, and AI initiatives. You will harness your engineering skills to develop and automate data pipelines, ensuring data is seamlessly integrated, processed, and available … across our analytics platforms. Your role will include automating data workflows, improving data quality, and ensuring efficient delivery pipelines. You will work alongside teams across the organization to address their data needs, craft agile solutions, and continuously improve the data environment. What will you be doing? Design and implement efficient More ❯

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities, using … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as a Data More ❯

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities, using … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as a Data More ❯

growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives. This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities, using … performance and reliability. Implement best practices for data engineering including CI/CD, testing, and documentation. Work with cross-functional teams to support data analytics and reporting efforts. Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem. Requirements Proven experience as a Data More ❯

Factory), Synapse, SQL). Consultancy experience would be highly advantageous Finance, Banking, Insurance or Retail industry experience would be an advantage DP-600 (Fabric Analytics Engineer) and/or DP-700 (Fabric Data Engineer) Microsoft certifications. More ❯

Factory), Synapse, SQL)). Consultancy experience would be highly advantageous Finance, Banking, Insurance or Retail industry experience would be an advantage DP-600 (Fabric Analytics Engineer) and/or DP-700 (Fabric Data Engineer) Microsoft certifications. For more information about our client, role and responsibilities please contact nicole.chapman@clickrecruiting.co.uk More ❯

Factory), Synapse, SQL)). Consultancy experience would be highly advantageous Finance, Banking, Insurance or Retail industry experience would be an advantage DP-600 (Fabric Analytics Engineer) and/or DP-700 (Fabric Data Engineer) Microsoft certifications. For more information about our client, role and responsibilities please contact nicole.chapman@clickrecruiting.co.uk More ❯

Factory), Synapse, SQL)). Consultancy experience would be highly advantageous Finance, Banking, Insurance or Retail industry experience would be an advantage DP-600 (Fabric Analytics Engineer) and/or DP-700 (Fabric Data Engineer) Microsoft certifications. For more information about our client, role and responsibilities please contact nicole.chapman@clickrecruiting.co.uk More ❯

have a strong background in deploying and maintaining highly available Data Applications. This will also involve managing the stability and scalability of the data analytics platform. What will you be doing? • Designing cloud-based data platform infrastructure with AWS, Azure or GCP experience • Working with modern data platform tools such More ❯