151 to 175 of 447 Analytics Jobs in the North of England

Previous experience in a software company is preferred where technical knowledge is required. Familiarity with customer success methodologies (e.g., Net Promoter Score, Customer Satisfaction surveys). Knowledge of data analytics tools to track and report on account performance (e.g., Looker) Perks & Benefits: We value our employees at SaleCycle, so we offer great benefits and incentives in addition to a competitive More ❯

programming/scripting languages such as C#, Go, Python, TypeScript, or Java. Advanced scripting skills in languages such as Python, Bash, or similar. Expertise with monitoring, observability and Log analytics tooling such as New Relic Prometheus, Grafana, ELK stack. Any experience implementing AI Ops and/or AI Coding tooling to enhance Developer Experience and enable efficient testing would be More ❯

Remuneration Committee: Support the design and administration of executive reward programs, assisting with the preparation of RemCo papers, reporting and forecasting data. Data-Driven Insights and Recommendations: Utilise data analytics to collect, analyse, and provide strategic insights and recommendations into people data across the reward function, enabling informed decision-making and identification of potential future issues, or opportunities. Taking a More ❯

to customers by implementing innovative models, algorithms, and data-driven solutions aligned with business goals. Major/Key Accountabilities Design, develop, and deploy machine learning models, algorithms, and advanced analytics solutions to improve supply chain efficiency, productivity, and decision-making. Leverage data from multiple internal and external sources to build innovative tools and data products that deliver measurable business value. … Collaborate closely with cross-functional teams including data engineers, product managers, and business stakeholders to align analytics solutions with strategic objectives. Ensure data quality, model reliability, and performance by validating datasets and monitoring deployed models. Lead and mentor junior data scientists and analysts, fostering skill development and best practices within the team. Drive continuous innovation by exploring emerging data science More ❯

Senior Data & Analytics Analyst- £55,000- Hybrid About the Role As a Senior Data & Analytics Analyst, you'll play a key role in driving data excellence across our organisation. Using your technical and analytical expertise, you'll support internal teams and external partners - including assureds, brokers, and suppliers - by delivering actionable insights and reliable data solutions. You'll work closely More ❯

Senior Analytics Engineer Whitefield, Manchester- Hybrid Up to £60,000 (DOE) + benefits As the Senior Analytics Engineer, you'll work closely with the Head of Data and business stakeholders to design, build, and optimise data pipelines and analytics solutions that power strategic decision-making. You'll be hands-on with SQL Server, Alteryx, Power BI, and Microsoft Fabric, ensuring … the platform is robust, scalable, and future-ready. Senior Analytics Engineer responsibilities: Partner with business teams to understand requirements and deliver meaningful, actionable insights. Design and implement data pipelines from APIs and relational sources. Model data effectively using Kimball/Star Schema methodologies. Develop dashboards, reports, and automated integrations in Power BI. Support the onboarding of data from newly acquired … businesses. Contribute to data strategy, process improvement, and best practice development. Stay ahead of emerging tools, technologies, and AI trends to continually enhance the analytics function. Essential skills and experience: Advanced SQL proficiency (joins, CTEs, window functions). Strong Power BI skills, including semantic modelling, DAX, and report design. Experience building data warehouse solutions (Kimball/Star Schema). Excellent More ❯

engineering and data integration in order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications More ❯

engineering and data integration in order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications More ❯

engineering and data integration in order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications More ❯

engineering and data integration in order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications More ❯

engineering and data integration in order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications More ❯

to DIVS workstreams to ensure transformation alignment with new tool setsbeing developed and support the deployment. Identify and manage risks and communicate through the risk management process. Use Data Analytics to improve industrial system efficiency, generating value for the plant. Financial management related to CAPEX, OPEX, Chargeback, RC and NRC Responsible as part of the Digitalisation team for achieving the More ❯

vision for smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance across all lines of defence. Champion continuous More ❯

vision for smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance across all lines of defence. Champion continuous More ❯

problems and help deliver improvements and insights using the Microsoft suite of tools. The post holder will be responsible for converting data from multiple sources into usable information, providing analytics, insights and reporting which will drive decision making and challenge assumptions. In addition, the role is responsible for supporting the completion, co-ordination and submission of non-financial Regulatory Returns More ❯

etc. Cisco CCNA/CCNP or equivalent networking certification. ITIL Foundation/Practitioner. Experience with RMM and PSA tools (e.g., ConnectWise, Datto, Autotask). Experience with CCTV, access control, analytics/AI systems (given company’s security services). Strong scripting/automation skills (PowerShell, etc.) for process improvement. More ❯

identity). AZ-104 and AZ-305 desirable. Skilled in scripting and automation (PowerShell required; Bicep/Terraform desirable). Experience with Azure monitoring and observability (Azure Monitor, Log Analytics, Datadog). Familiar with backup, disaster recovery, and business continuity tooling (Azure Backup, RSV, ASR). Strong working knowledge of networking concepts (VNets, VPNs, ExpressRoute, NSGs, Firewalls, WAFs, route tables More ❯

identity). AZ-104 and AZ-305 desirable. Skilled in scripting and automation (PowerShell required; Bicep/Terraform desirable). Experience with Azure monitoring and observability (Azure Monitor, Log Analytics, Datadog). Familiar with backup, disaster recovery, and business continuity tooling (Azure Backup, RSV, ASR). Strong working knowledge of networking concepts (VNets, VPNs, ExpressRoute, NSGs, Firewalls, WAFs, route tables More ❯

strategy with execution. Core Responsibilities Set & deliver the technology strategy Own the multi-year IT roadmap aligned to business goals (growth, M&A, European expansion), covering applications (ERP), data & analytics, infrastructure & cloud, end user experience, and service excellence. Translate business goals (growth, M&A, European expansion) into clear IT initiatives and delivery plans. Track progress and communicate updates, risks, and More ❯

data analysis Project Management Experience with marketing automation tools and CRM workflows. Experience delivering successful IT/digital projects. Web Skills Familiarity with CMS platforms and development of templating Analytics Ability to generate insights from CRM/CMS data to inform strategy More ❯

into product improvements. Strong background working with UI and UX teams to deliver high-quality user experiences. Understanding of the software development lifecycle and deployment processes. Skilled in using analytics and engagement metrics to guide product decisions. Excellent communication skills with the ability to influence and align stakeholders. Previous experience in B2B technology. Deep experience in Agile environments, including backlog More ❯

Your Qualifications Ability to work with high levels of autonomy, accountability, and integrity Bachelor's degree in business (Finance, Operations, Accounting, etc.) or highly technical field (Engineering, mathematics, data analytics, etc.) 3+ years building and using Anaplan models, as you will build and use them to automate and scale current processes Experience working with large data sets to synthesize insights More ❯

K users) High-level understanding of other key IT areas: Modern Workplace, Public Cloud (Azure or AWS), Hybrid Infrastructure (including data, storage, and platforms), FinOps, AI, Data Analytics, Automation, Software Asset Management, or Service Management - DESIRABLE More ❯

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise - we roll More ❯

A fast-scaling Betting Organisation is looking for a Director of Analytics - Performance to lead its UK analytics and commercial intelligence function. This is a rare opportunity to shape how data drives decision-making across a dynamic, consumer-facing business . This role is based in Leeds and requires you to be there 2/3 days a week. You … ll be at the forefront of building a high-impact analytics capability, working across product, marketing, operations, and finance to unlock growth opportunities, improve customer experience, and optimise performance. What You’ll Be Doing Build & Lead a UK-based analytics team focused on commercial performance, customer behaviour, and operational efficiency. Define Strategy for how data is used across the business … decisions, improve outcomes, and drive innovation. Deliver Insights that influence everything from acquisition and retention to product development and campaign effectiveness. Collaborate Cross-Functionally with senior stakeholders to ensure analytics are embedded into daily operations and long-term planning. Develop Tools & Dashboards that provide real-time visibility into key metrics and business performance. Champion Innovation by identifying opportunities for AI More ❯