551 to 575 of 5,813 Analytics Jobs in England

and enjoys solving complex data challenges. Key Responsibilities Data Infrastructure and Pipeline Development Design, develop, and maintain ETL/ELT pipelines using Azure Synapse Analytics, Data Factory and other Azure related cloud warehouse tools. Optimise the Azure Synapse data warehouse for performance, scalability, and reliability. Integrate data from various internal More ❯

education, experience and skills Bachelor's degree in a quantitative area, Master/Doctor's in a quantitative area is preferred. 8+ years of analytics/insights experience. An analytical mindset coupled with significant project management experience - PMP or similar certifications is a plus. Experience with assessing, managing, quantifying, and More ❯

skills, a collaborative approach to cross-functional projects, and experience with compensation design and commission tools (e.g., SPIFF, Xactly). Key Responsibilities Execute critical analytics requests for the UK Sales teams (e.g., dashboard creation, reporting for Quarterly Business Reviews). Own specific elements of the UK RevOps function-reporting, headcount More ❯

and enjoys solving complex data challenges. Key Responsibilities Data Infrastructure and Pipeline Development Design, develop, and maintain ETL/ELT pipelines using Azure Synapse Analytics, Data Factory and other Azure related cloud warehouse tools. Optimise the Azure Synapse data warehouse for performance, scalability, and reliability. Integrate data from various internal More ❯

can have a positive impact! About the Role The Data Insights Team is made up of "front end" report developers and analysts within our Analytics Pillar, "back end" data model and ingestion engineers within our Engineering Pillar, and a projects and interface manager within our recently formed Projects, Integration, and More ❯

Advertising or related areas of study, or full stack coding bootcamp certification, or equivalent industry experience Demonstrable work experience in digital advertising operations or analytics or related field Preferred qualifications Demonstrable experience working with large data sets using SQL, Python, and other tools, and producing practical business insights via data More ❯

initiative either by using existing templates or creating new models. Regularly engaging with stakeholders to elicit information and define scope of analysis. Support the Analytics team to promote and imbed our technology through championing our systems and running training sessions for the Commercial and wider business. Providing support to internal More ❯

architecture and interpret into a build plan. Leading the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs. Delivering large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best More ❯

a manager you'll continuously enhance your proficiencies in the use of major technology tools, including application development, data acquisition and transformation, and data analytics and visualization/reporting. You'll work side-by-side with tax-technical subject matter professionals (SMPs) to develop and deploy data and technology solutions More ❯

an exhaustive library of skill enhancement resources from AWS, Cornerstone and other partners to help you upskill while on the job. Be it data analytics that piques your brain or content creation, there’s something for every kind of mind. A Culture of Belonging Synamedia is committed to promoting a More ❯

strategy and operations experience in a high-tech growth company, or operational and strategy experience in investment banking, management consulting, or business insights/analytics roles. Strong business acumen and creative problem solving and analysis skills. Ability to solve complex and diverse business problems (commercial, operational, organizational). Experience taking More ❯

integrating and managing datasets from multiple sources Query performance tuning skills using Unix profiling tools and SQL Experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies Linux/UNIX including to process large data sets Our More ❯

closely with cross-functional teams to align on acquisition strategies, share insights, and drive collective decision-making, ensuring seamless execution and strategic alignment. Data Analytics & Reporting: Proficient in Excel and SQL with experience using BI tools (e.g., Metabase, Tableau, Looker) to track and visualize key growth and acquisition metrics. Experimentation More ❯

knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle interesting datasets, set up large-scale experiments, and implement growth strategies with NO red More ❯

management and on the field rollout in Fulfillment or Sort centers PREFERRED QUALIFICATIONS PMP certification, or SCRUM/Agile, SAFe certification Knowledge of data analytics tools, specifically SQL for data extraction and manipulation, combined with experience in using visualization platforms such as Amazon QuickSight or Tableau. The ideal candidate should More ❯

Automating deployment processes. Implementing security best practices to protect cloud infrastructure and data. Identifying and resolving performance bottlenecks. Desirable knowledge & experience: Experience with data analytics and Big Data technologies. Knowledge of cloud security best practices and compliance standards. Experience with agile development methodologies. GCP certifications (e.g., Google Cloud Certified Professional More ❯

bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data, and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly More ❯

Automating deployment processes. Implementing security best practices to protect cloud infrastructure and data. Identifying and resolving performance bottlenecks. Desirable knowledge & experience: Experience with data analytics and Big Data technologies. Knowledge of cloud security best practices and compliance standards. Experience with agile development methodologies. GCP certifications (e.g., Google Cloud Certified Professional More ❯

external best practices, propose best option for introduction (PoC, prototype, pilot,….) Essential Experience & Skills Master’s degree in data science, Computer Science, Business Analytics or related fields At least 8 - 10 years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of More ❯

on your experience and area of interest, you may work on Technology projects in key areas such as: Cloud & Enterprise Modernisation Data Architecture, Transformation & Analytics Automation, Artificial Intelligence & Machine Learning Platform Modernisation Digital Assets & Decentralised Ledgers Digital Transformation Enablement Wealth Technology Technology Strategy, FinTech & Innovation You will collaborate with colleagues More ❯

or data engineering emphasis desired). Required Work Experience 3-5 years of experience in energy trading, renewables development, or energy industry forecasting/analytics/research. Required Knowledge Familiarity with capacity expansion, production cost models, or energy-related software. Ability to work with datasets specific to energy systems, such More ❯

understanding of emerging ESG trends and global regulations/standards. You will work closely with cross-functional teams including the portfolio construction group, investment analytics, and the global client group, communicate effectively with stakeholders and present insights. As a key member of our dynamic team, you will also help nurture More ❯

Your work will be to: Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems More ❯

be on developing AI-powered intelligent workflow automation and resource optimisation systems for property operations. You'll leverage technologies such as process mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics More ❯

management experience Strong written, verbal, non-verbal, presentation communication skills Leadership presence, acumen and communication Comfort with generating, supporting and assessing reporting, metrics and analytics to guide decision-making What Cencora offers Benefit offerings outside the US may vary by country and will be aligned to local market practice. The More ❯