1 to 25 of 327 Permanent Analytics Jobs in the North of England

and money save! Tell a story with the data through data visualisation, highlighting clear strategic direction and insights to stakeholders Help to grow the analytics capabilities of the logistics team, work with senior stakeholders to question and innovative how data is used and analysed! Lead one other and create new … HOW TO APPLY Please register your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst … Customer Analytics Desired Skills and Experience Data Analyst, Data Analytics, SASW, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer 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 more »

and profitability. Develop models and algorithms to forecast demand and optimize pricing decisions. Craft visually compelling dashboards and reports that communicate statistical and empirical analytics on portfolio performance, customer behaviour, and process effectiveness. Act as a subject matter expert on data and fostering a culture of data-driven excellence. Skills more »

to bear the load of our ever expanding, data driven business Develop and maintain data models, ETL processes, and data warehousing solutions to support analytics, machine learning, and reporting Ensure data security and compliance with industry regulations and best practices Identify, analyse, and resolve data-related issues to improve data more »

with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching Confident with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure Be adept with your collaboration skills Additional Information This role more »

with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching Confident with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure Be adept with your collaboration skills Additional Information This role 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 »

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 »

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 »

the wider team, senior managers, clinicians and directors. The post holder will use their knowledge of data flows, data processing skills, reporting and advanced analytics to maintain effective data processing and submission of often complex information in accordance with service level agreements and other local, statutory and national requirements. About more »

brands, and initiating their own social impact campaigns, the consultancy undertakes a variety of projects across different industries, with the goal of democratising advanced analytics and making it accessible to all. The company is entering an extremely exciting phase of the business as they prepare for a relaunch to trigger 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 »

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 »

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 designing scalable 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 »

Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of more »

Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of 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 »

with a flexible working approach so everyone can thrive in an inclusive and open environment. The Role: We are currently recruiting for a Data & Analytics Lead to join the Avove IT business unit. As the Data & Analytics Lead, you will establish and build a Data and Analytics function within Avove … to drive the creation of insights and value from all types of data analytics and ultimately improve the performance of the business (efficiency/productivity, revenue growth, margin improvement and customer satisfaction). Responsibilities: Lead the development and execution of the roadmap for Data and Analytics, and BI alongside the … to understand and map the driver trees, levers, and lead metrics for performance improvement. Develop and create the data sets needed for BI and analytics including, where needed, the data repositories, Extract/Transform/Load routines and validation mechanisms needed to underpin reporting and analysis. Establish the integration with more »

across various business areas. Key Responsibilities: Develop and implement data and reporting solutions using the latest Microsoft technologies: SQL Server Integration Services, Azure Synapse Analytics, Azure Analysis Services, Azure Data Lake, Azure SQL Database, Azure Data Factory, and Power BI. Collaborate with team members or directly with business users to more »

across various business areas. Key Responsibilities: Develop and implement data and reporting solutions using the latest Microsoft technologies: SQL Server Integration Services, Azure Synapse Analytics, Azure Analysis Services, Azure Data Lake, Azure SQL Database, Azure Data Factory, and Power BI. Collaborate with team members or directly with business users to more »