1 to 25 of 651 Analytics Jobs in the North of England

health reporting, service transformation or project delivery, as well as qualifications such as Microsoft PL300 , membership of a relevant organisation, or postgraduate study in analytics, statistics or business intelligence. An understanding of NHS priorities and a passion for using data to improve services for children, young people and families will More ❯

interpret raw data, transforming it into actionable insights for senior stakeholders. This role involves daily collaboration with the Data Architect, Head of Data and Analytics, and the Director of Finance, Risk, and Compliance. Key Responsibilities: Perform advanced data analysis on large datasets to extract actionable insights. Identify/interpret trends More ❯

a strong commercial acumen and proven track record of driving financial performance. A critical aspect of this role is the ability to leverage data analytics and technology, specifically Power BI and Microsoft data warehouse, to provide insightful financial reporting and drive informed business decisions. Responsibilities - Management Provide strategic financial analysis More ❯

Apps and Power Automate to design, develop, and maintain powerful solutions using the Microsoft Power Platform. Your focus will be on delivering high-quality analytics and automated workflows that drive efficiency, enable better decision-making, and add real value across our business. What you'll be doing? Design and maintain More ❯

The candidate will focus on developing a dashboard solution to visualise raw sensor data and transformed/congregated data through AI and other data analytics methods. This will also involve integrating multiple data sources, including Building Information Models (BIM) and Geographic Information System (GIS) data. Working under a project co More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. More ❯

the challenge of digging into complex datasets and uncovering insights that drive business outcomes. Key Responsibilities Develop and maintain robust data pipelines to support analytics and machine learning initiatives. Build and deploy predictive models using statistical methods and ML algorithms. Ensure high data quality through validation, monitoring, and automated checks. More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. More ❯

Senior Data Engineer - Data Infrastructure and Architecture: C-4 Analytics C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. We are currently hiring for a Senior Data Engineer as we … a disability, contact this employer to ask for accommodation or an alternative application process. Who We're Looking For: Senior Data Engineer C-4 Analytics is looking for an Experienced Senior Data Engineer with expertise in data infrastructure and architecture to help shape the future of our data-driven digital … enhances your productivity. Hybrid : For those who prefer a balance between office and remote work, we offer a hybrid model. Working at C-4 Analytics We provide our employees with a range of benefits, including career development programs, unlimited paid time off, and additional perks. More About C-4 Analytics More ❯

compliance in all IA designs. Collaborate with the Operations Data Office on data governance integration and KPI reporting. Define architecture for BI/reporting, analytics, data science, digital, and operational use cases. Lead data integration architecture strategy and provide approval for IA artefacts during project lifecycles. Required Skills and Experience More ❯

Key Responsibilities: Extract, clean, and analyse data from multiple sources to support business objectives. Develop and maintain dashboards and reports using Power BI, Google Analytics, or Tableau. Monitor key performance indicators and provide insights to improve campaign and project outcomes. Identify trends and patterns in data, helping the agency make More ❯

platforms, while gaining a nationally recognised qualification. Role Administer and support digital security platforms including door access systems, intrusion detection, biometrics, and CCTV AI analytics Conduct audits and assess compliance with key standards such as ISO 27001, Secure by Design, and Cyber Essentials Manage and configure the Morson Engineering SharePoint More ❯

responsible for enhancing the effectiveness of how data is used across Royal London (RL). The function provides Data Governance, Data Management, Data Strategy, Analytics/AI and Insight capabilities. It sets and oversees data related policies and standards, so data is collected, processed, and exploited in accordance with the More ❯

responsible for enhancing the effectiveness of how data is used across Royal London (RL). The function provides Data Governance, Data Management, Data Strategy, Analytics/AI and Insight capabilities. It sets and oversees data related policies and standards, so data is collected, processed, and exploited in accordance with the More ❯

Mathematics, Statistics, Information Communications Technology, Computer Science or Economics. Hold a qualification in a relevant professional qualification/certificate in Data Science or Data Analytics or willingness to study towards one. Significant knowledge of database management systems and proficiency in SQL for querying and manipulating data stored. Confidence to develop More ❯

of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability More ❯

of the executive team and you must be confident in presenting information. You will also be skilled in data visualisation, delivering insightful and impactful analytics using Tableau. You will have excellent leadership qualities, be highly motivated and will ensure tasks are delivered on time. You will be proactive and innovative More ❯

and coaching Technical Skills: Strong experience of Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics, Logic Apps Strong SQL programming skills Strong experience with Power BI data modelling and reporting, including setting up/maintaining Power BI premium capacity workspaces More ❯

e.g., Power BI, Tableau) to track performance and enhance data visibility. Automate routine reporting to improve efficiency and ensure timely insights. Data Science/Analytics: Support and lead data analytics projects, including forecasting and predictive modelling. Work closely with the BI & Data Analytics Manager on strategic analytics initiatives. Data Reporting … with the ability to explain technical concepts to non-technical stakeholders and influence through data-driven insights. Technical: Proficient in Alteryx, Power BI, SAP Analytics Cloud; experienced with Snowflake and data modelling; familiarity with R and Python highly desirable. Financial Services: Experience working in a Finance firm, preferably Wealth Manager …/Private Bank/Hedge Fund. Required Qualifications: Applicable Degree (e.g. Data Analytics, Business Intelligence, Finance, Statistics Relevant certifications (e.g. CBIP, CFA, Microsoft Data Analyst). 3 years experience in data analytics or business intelligence, preferably within a finance function. More ❯

CTS, ScotEID, Xero). Identify and resolve data inconsistencies. Develop real-time dashboards and reports to track key performance indicators (KPIs). Provide predictive analytics and forecasting to support supply chain planning. Automate manual data collection and reporting processes to enhance efficiency. Ensure data compliance with regulatory standards and support More ❯

both technical and non-technical stakeholders Proactively identifying opportunities to improve business performance through data Supporting the wider team with varied tasks beyond traditional analytics, contributing to our close-knit culture What We're Looking For: Minimum of 3 years' experience in a data analyst or similar role Proficiency in More ❯

objectives. Work closely with clients to gather requirements, refine project scopes, and communicate insights effectively. Create and maintain scalable and efficient databases to support analytics needs. Perform exploratory data analysis to uncover trends, anomalies, and actionable insights. Ensure data accuracy, consistency, and integrity across reports and dashboards. Collaborate with other More ❯

leadership and at all levels of the organisation alike. Technical Proficiency - Strong proficiency in MS Excel, PowerPoint, and Word; experience with business intelligence and analytics tools is a plus. Adaptability & Collaboration - Thrives in a fast-paced environment, working effectively with cross-functional teams. More ❯

Quantitative Developer Department: Analytics Employment Type: Permanent Location: Birmingham/Leeds Reporting To: Quantitative Development Manager Compensation: circa £55k Description Contract type: Permanent Hours: Full Time, 37.5 hours per week Salary: circa £55,000 depending on experience Location: Canary Wharf WFH policy: Employees are required to attend the office More ❯

date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to both technical and non-technical audiences. Work with various datasets, utilizing tools like More ❯