1 to 25 of 487 Analytics Jobs in the UK excluding London with Remote Work Options

engineering roles, preferably within a consulting firm. Proficiency in Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity with data visualization more »

for optimizing the performance of existing data pipelines depended upon by production software applications.· 5+ years of data engineering experience for big data, data analytics, reporting, and machine learning solutions with advanced SQL knowledge.· Proficient in designing and developing data models for simulated and acquired data.· Experience with Data Warehouse more »

and user guides. Best Practices: Stay up to date with the latest trends and best practices and incorporate them into development processes. Reporting and Analytics: Develop interactive reports and dashboards using Power BI or Tableau to provide actionable insights for decision-makers. Security and Compliance: Ensure the security and compliance more »

Become the go to person for support with value adding reporting requests Data warehouse design, data modelling, build and manipulation Optimize the Azure Data Analytics platform, allowing ingestion of data from a variety of data sources to support Power BI reporting Build, optimise and metadata management of data models Run more »

from you! #TeamNottsHC Job description Job responsibilities You will be educated to degree level or have equivalent experience. You will have worked in previous analytics roles, collaborating on data extraction, analysis and information reporting. You are familiar with using SQL/T-SQL, or have equivalent coding skills. Possibly you more »

data analysis and measurement, develop performance management reporting, indicators and dashboards to support effective decision making. You will have a strong track record in analytics, an eye for detail, excellent communications skills, be proactive, methodical, an enthusiastic self-motivated team player capable of balancing several competing demands, you will work more »

Data Engineer – Manchester - £40,000 – Hybrid Working My client is hiring a full time Data Engineer to contribute to their expanding data science and analytics initiatives. Your role involves designing, building, and maintaining data pipelines, ensuring seamless data flow into their central Microsoft Azure repository. Collaborate with Data Analysts and more »

would be based from the Spennymoor office, and would require some onsite working weekly (to be discussed during interview). Key Responsibilities: Utilise advanced analytics techniques to analyze complex data sets and extract valuable insights. Develop and maintain interactive dashboards, reports, and data visualizations to facilitate decision-making processes. Collaborate more »

ensure accurate reporting, optimise data platform pipelines , develop, and scale data platforms with CI/CD and Terraform , data modelling , and working with the analytics team to build solutions . You will also be responsible for supporting implementation of security controls ensuring compliance with data protection, and GDPR . Develop more »

SQL Good understanding of Azure infrastructure (Subscriptions/Resource Groups, Virtual Networks, Kubernetes, Security options, etc) Good understanding of modern reporting platforms (dashboarding, advanced analytics, AI) An ability to explain complex problems in a simple and effective manner Strong peer and senior stakeholder management skills (including engagement with exec level more »

and experienced Senior Data Scientist to join their dynamic modelling team. Specialising in the cutting-edge domain of cyber risk, the organisation leverages advanced analytics and proprietary models to redefine the landscape of cyber risk assessment and management. Embracing innovation and excellence, they have emerged as a leader in the more »

described. Data Analysis: Proven track record in analysis of NHS information and data flows to support commissioning of healthcare. Knowledge: Experience of using visual analytics platforms Tableau and Power BI. Experience in SQL query development, data manipulation, and performance optimisation to retrieve and transform data from various sources. Project Management more »

the same time, collaborating with different functions and domain experts across the NHS and wider government landscape. The Principal Data Scientists will embed advanced analytics into the core of the organisation, aligning data science initiatives with NHSCFA goals. They will be accountable for impactful outcomes, emphasising the responsibility and results … value of analytical enquiry and modelling to demonstrate RoI. Manage a team as described in the Structure. Working closely with the wider operational management, analytics, advanced analytics, and IT teams to support development of appropriate data science models, approaches and products used in the portfolio of work. Being an expert … techniques used within the data science framework and delivery of knowledge at all levels within the organisations. Working closely with the wider operational management, analytics, advanced analytics, and IT teams to support development of appropriate data science models, approaches and products used in the portfolio of work. Person Specification PS more »

the same time, collaborating with different functions and domain experts across the NHS and wider government landscape. The Principal Data Scientists will embed advanced analytics into the core of the organisation, aligning data science initiatives with NHSCFA goals. They will be accountable for impactful outcomes, emphasising the responsibility and results … value of analytical enquiry and modelling to demonstrate RoI. Manage a team as described in the Structure. Working closely with the wider operational management, analytics, advanced analytics, and IT teams to support development of appropriate data science models, approaches and products used in the portfolio of work. Being an expert … techniques used within the data science framework and delivery of knowledge at all levels within the organisations. Working closely with the wider operational management, analytics, advanced analytics, and IT teams to support development of appropriate data science models, approaches and products used in the portfolio of work. Person Specification PS more »

cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. The Head of Data Engineering will be a remote based role with the need to go into more »

Optimise query performance and ensure data accuracy and integrity. Stay updated with emerging BI trends and technologies to drive continuous improvement. Utilise real time analytics to have a meaningful impact on business performance. Requirements: Relevant Degree in Computer Science or similar field Advanced Power BI SQL & SSRS DAX Experience with more »

experience: Experience working with Azure Experience with data warehousing A degree in computer science or software engineering Experience with Azure resources such as Synapse analytics, Data factory, Logic app Experience in finance, insurance or energy sectors To apply or hear more about this role, please contact or call more »

Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualisation, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for a Data Platform Engineer (Azure) to more »

Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualization, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for a Data Platform Engineer (Azure) to more »

stack and Databricks experience desirable Number of direct reports 1+ Geographic area of impact Global Size of budget N/a Key stakeholdersBusiness stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops more »

with passion to advise on this area and ability to develop further knowledge Experience in research, analysis, and report writing Understanding of Data and Analytics methods Experience of using SQL and Power BI Ability to be able to communicate effectively with both non-technical and technical stakeholders What you'll more »

of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. Expertise in more »

to engage with and succeed with their own use of the data products you help deliver. Directly contributing to enhancing data accessibility, quality, and analytics capabilities within the university. Duties: Technical work to model data and Design and Develop Data Pipelines Undertake and manage the development of data models Contribute more »

data to support our Marketing and Buying teams to deliver targeted marketing campaigns and support operational decision-making. For example, we provide insight and analytics on where to apply marketing for Ramadan, and where to run more lines on our price match campaigns. On top of this we receive many more »

business area of AJ Bell. The Data and Insights team is a small but dynamic and experienced group of SMEs who work across Google Analytics, Bloomreach CDP and BI/data engineering. The team is the first port of call for insights from our customer-centric marketing, product, PR, content … AJ Bell platform and systems Good knowledge of SSAS Some knowledge of Customer Data Platforms (Bloomreach) would be an advantage Some knowledge of Google analytics and mining web logs advantageous Knowledge of Business Intelligence strategies Skills Proficiency in data analysis tools and programming languages such as SQL, Python, R, or more »