1 to 25 of 326 Analytics Jobs in Manchester

intelligence, insights and crucial management information (MI) reports. Roadmap: Work with senior stakeholders to develop a roadmap that will deliver data insights aligned with business goals, including data governance, analytics, and operational reporting. Other Responsibilities Performance Monitoring: Regularly monitor and measure data analytics performance using key performance indicators and other metrics. Innovation and Improvement: Explorer new insights and trial solutions … collaboration skills. Able to work with C-suite level stakeholders. Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable More ❯

intelligence, insights and crucial management information (MI) reports. Roadmap: Work with senior stakeholders to develop a roadmap that will deliver data insights aligned with business goals, including data governance, analytics, and operational reporting. Other Responsibilities Performance Monitoring: Regularly monitor and measure data analytics performance using key performance indicators and other metrics. Innovation and Improvement: Explorer new insights and trial solutions … collaboration skills. Able to work with C-suite level stakeholders. Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable More ❯

intelligence, insights and crucial management information (MI) reports. Roadmap: Work with senior stakeholders to develop a roadmap that will deliver data insights aligned with business goals, including data governance, analytics, and operational reporting. Other Responsibilities Performance Monitoring: Regularly monitor and measure data analytics performance using key performance indicators and other metrics. Innovation and Improvement: Explorer new insights and trial solutions … collaboration skills. Able to work with C-suite level stakeholders. Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable More ❯

The Data Analytics Manager will be responsible for leading and developing a team of BI professionals and data scientists. This includes ensuring that requests are appropriately prioritized and workloads efficiently managed across both BI and data science functions. The role will drive the development of a self-serve data mentality across the business and lead the execution of advanced analytics … data science tools such as Python Team & Workload Management Line management responsibilities for a team of BI developers and data scientists to support the MI, data insights, and advanced analytics needs of the wider business. Support team development through regular 1-2-1s, performance reviews, identification of training requirements, and creating a shared learnings culture. Through your team, provide … business support across the creation of reporting datasets, BI reports, dashboards, and predictive analytics models. Prioritising requests and management of team workloads, balancing short-term reporting needs with longer-term data science initiatives. Ensure all deliverables are completed within timelines and to high-quality standards. Delivering Quality Of Service Ensure regular communication with stakeholders so they know the status and More ❯

Senior Analytics Engineer - Speciality Insurance - Manchester City Central - Hybrid - Machine Learning - £75,000 - £85,000 We're on the lookout for a Senior Analytics Engineer to join a Data Analytics team within a Specialty Insurance organisation backed by private equity. This position plays a key role in enhancing reporting and analytics capabilities across the entire organization. Their current team brings … teams to define reporting needs and deliver effective solutions Build and maintain reporting solutions using Power BI, SSAS Tabular, and predictive tools Lead technical development and offer guidance on analytics projects Maintain and improve existing reporting assets Ensure solutions are thoroughly tested and properly documented Optimize data models and promote best practices in performance Stay current with data and reporting … tech trends, including supporting AI adoption in 2025 Foster strong internal stakeholder relationships Manage personal workload and align with delivery plans Required Experience Proven experience with predictive analytics, including forecasting and scenario modelling Advanced development of SSAS Tabular data models Expertise in Power BI, including dashboards and paginated reports Practical experience applying AI tools to enhance analytics or operations Comfortable More ❯

management to address business challenges. Beneficial to have experience in Financial Services data models like FSLDM, BIAN, Data Vault etc. Experience working across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes. Passionate about data with demonstrated ability in solving complex problems and leveraging the latest tools & technologies to create innovative … project scope and agreeing on budgets. WHAT YOU'LL LOVE ABOUT WORKING HERE? Our DFRC team is part of the wider Data & AI Factory team within our Enterprise Data Analytics (EDA) team which takes pride in transforming clients' businesses with Data & AI making a tangible difference for our clients, setting industry standards and unlocking business value. By being part of … dynamic team. DFRC consultants will engage in projects designed to transform financial operations for our clients. Our team's expertise spans across several focus areas from risk based decisioning & analytics, credit risk, financial crime and KYC/AML to data privacy, governance and the many applications of GenAI within financial services. At Capgemini Invent, our strong partnerships with our clients More ❯

hands-on experience in Power 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 engaging, high-performance Power BI More ❯

Senior Analytics Engineer - Power BI, SSAS, T-SQL, Machine Learning, Data Science, AI, Insurance Salary - Competitive I am currently searching for a Senior Analytics Engineer to join a Data Analytics team within a Specialty Insurance organisation. This position plays a key role in enhancing reporting and analytics capabilities across the entire organization. Their current team brings strong expertise in Power … teams to define reporting needs and deliver effective solutions Build and maintain reporting solutions using Power BI, SSAS Tabular, and predictive tools Lead technical development and offer guidance on analytics projects Maintain and improve existing reporting assets Ensure solutions are thoroughly tested and properly documented Optimize data models and promote best practices in performance Stay current with data and reporting … tech trends, including supporting AI adoption in 2025 Foster strong internal stakeholder relationships Manage personal workload and align with delivery plans Required Experience Proven experience with predictive analytics, including forecasting and scenario modelling Advanced development of SSAS Tabular data models Expertise in Power BI, including dashboards and paginated reports Practical experience applying AI tools to enhance analytics or operations Comfortable More ❯

adhere to data governance and compliance standards. Skills, Knowledge and Expertise Requirements We are looking for someone who is passionate about problem solving and keen to develop their data analytics skills. Graduating this summer with a bachelor's degree in Finance, Accounting, Economics/Data Analytics, Mathematics, Data Science, or any related field. Ideally can demonstrate hands on experience (this … summer internship, or any equivalent experience gained during your time at university, for e.g. through projects, dissertations and presentations). You will have knowledge and experience of using data analytics tools (e.g., Power BI, SQL or equivalent) or a strong desire to learn. Benefits What you can expect at Cowgills We are a growing team and we believe that investing More ❯

consultant for the diverse business areas we serve. You'll play a key role in shaping the future of CAVU's data science capability, accelerating the use of advanced analytics, and embedding data-driven decision making across the organisation. As our new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer … on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data Governance to solve problems and create scalable solutions that make a tangible difference. What's in it for you? This is a brilliant opportunity to join CAVU's … deliver clean, reliable, and well-documented datasets. Develop and maintain CI/CD pipelines for testing, deployment, and delivery of data science solutions. Support data modelling and transformation for analytics and reporting needs. Contribute to continuous improvements in our data science practices, testing frameworks, and deployment processes. Mentor and support more junior colleagues, fostering a culture of learning and knowledge More ❯

role is part of our EMEA Data craft team, an integrated craft across Europe driving data engineering, data science, and AI initiatives. We combine our expertise in data architecture, analytics, and AI to deliver exceptional data-driven solutions that build lasting relationships with our clients like Footlocker, Nikon, Rituals, and Philips ROLE OVERVIEW The Lead Data Engineer is responsible for … the data engineering team to support our expanding client base. You will collaborate with cross-functional teams to create scalable, efficient data architectures that power our AI and data analytics solutions. This role requires a technically excellent, strategic thinker with proven experience in leading data engineering teams and implementing enterprise-scale data solutions. JOB PURPOSE As part of the EMEA More ❯

Purpose The Data Lead is responsible for leading and growing MPM's data capabilities. Managing the data team, overseeing the design, delivery, and governance of data infrastructure, pipelines, and analytics solutions. The Data Lead is also responsible for setting and executing the vision for data within the organisation, enabling accurate, timely, and actionable insights through data practices, collaboration, and strong … shared across the business Communicate effectively with both technical and non-technical stakeholders. Knowledge, Skills and Experience Experience managing teams & cross-functional data projects. Proven experience in data engineering, analytics, or data architecture, with experience leading & mentoring others. Strong understanding of Microsoft Azure (Data Lakes, Blob Storage), Databricks, and modern data stack tooling. Proficiency in SQL and Python for data More ❯

measure system health, device usage, and performance. You'll analyse telemetry to deliver proactive and contextual UX enhancements at both system and user levels. You'll build dashboards and analytics pipelines to track performance, adoption, and satisfaction KPIs using platforms like Power BI and Azure Monitor. You'll own the roadmap, release pipeline, and technical backlog for digital workspace platforms. … Microsoft Intune, Autopilot, and Configuration Manager (SCCM), ensuring secure device provisioning, policy enforcement, and compliance at scale. You'll optimise device performance and user experience by deploying Microsoft Endpoint Analytics, configuring proactive remediation scripts, and maintaining standardized security baselines via Intune Security Policies and Group Policy Objects (GPO). You'll enforce regulatory and organisational compliance by integrating Microsoft Defender … Apps, Power Automate, and PowerShell scripting - covering zero-touch onboarding, application deployment, patch management, and deprovisioning. You'll continuously monitor and enhance EUC infrastructure using Microsoft Endpoint Manager, Desktop Analytics, and Azure Monitor to identify performance bottlenecks, track adoption metrics, and drive platform improvements aligned to business goals. You'll work closely with architects, infrastructure leads, and application owners to More ❯

professional development. Be part of an innovative and forward-thinking data team. If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, wed love to hear from you. Interested? Please Click Apply Now!Senior Data Engineer More ❯

professional development. Be part of an innovative and forward-thinking data team. If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you. Interested? Please Click Apply Now! Senior Data Engineer More ❯

and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and More ❯

data profiling, and data transformation Experience in some of the following: business process analysis, financial control analysis, forensic investigation, revenue, cost and margin analysis, customer segmentation, sensitivity analysis, ERP analytics Strong skills in using Excel for data analysis Experience with data visualisation software (PowerBI preferred) to create clear and insightful visualisations Experience using SQL suite of software including the ETL More ❯

dependent on experience Location United Kingdom, Manchester Job Type Permanent Description A national business based in Central Manchester are looking for a Senior Data Analyst to join their data analytics and modelling team. This is the perfect opportunity for an ambitious analyst! Responsibilities for the role are as follows: The successful candidate will have a strong track record developing and … applying modelling and data analytics solutions, in addition to exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability More ❯

The Role: As a Data Engineer, you'll play a key role in designing, building, and maintaining high-quality data pipelines and architectures that support our business intelligence and analytics goals. You'll work closely with data scientists, analysts, and other engineers to deliver reliable and performant data solutions. Key Responsibilities: Develop and manage scalable data pipelines using Azure Data … CD pipelines and infrastructure-as-code. What do I need to apply for the role: Solid hands-on experience with Azure data tools, including Data Factory, Data Lake, Synapse Analytics, and Azure SQL. Strong proficiency with Databricks, including Spark, Delta Lake, and notebooks. Skilled in Python and SQL for data transformation and processing. Experience with Git and modern CI/ More ❯

manage secure infrastructure across Azure and GCP Use Infrastructure as Code (Terraform) to implement and maintain security controls Automate security processes with scripting and APIs Use native tools and analytics to improve cloud & data security posture Collaborate across teams to deliver secure, scalable, and compliant solutions Creating and tuning DLP/Cyber policies for endpoints, email, cloud apps, and network … Code principles API integration (e.g., Microsoft Graph API) IN ADDITION, THE BELOW WOULD BE NICE TO HAVE (DEPENDING ON THE TEAM) Lab 1: Cloud Enterprise and Computer Security Data & Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning More ❯

strengthen defence -in-depth strategies. Design and deploy Web Application Firewalls (WAFs) and security controls to protect modern applications from threats and vulnerabilities. Guide the integration of AI and analytics into security operations working with data scientists and AI engineers. Mentor and coach engineers, fostering a high-performing, inclusive, and growth-oriented team culture. WHAT YOU'LL NEED We're More ❯

Microsoft Power Platform DeveloperGreater Manchester (Flexible office/home-based arrangements available)Salary: £45-48k with company bonus and benefits.Hours: Monday to Friday, 37.5 hours per week (Flexible office hours available)Reporting to: Head of Business IntelligenceJoin a world More ❯

Microsoft Power Platform Developer Greater Manchester (Flexible office/home-based arrangements available) Salary: £45-48k with company bonus and benefits. Hours: Monday to Friday, 37.5 hours per week (Flexible office hours available) Reporting to: Head of Business Intelligence More ❯

TheDataAnalyticsManagerwillberesponsibleforleadinganddevelopingateamofBIprofessionalsanddatascientists.ThisincludesensuringthatrequestsareappropriatelyprioritizedandworkloadsefficientlymanagedacrossbothBIanddatasciencefunctions.Therolewilldrivethedevelopmentofaself-servedatamentalityacrossthebusinessandleadtheexecutionofadvancedanalyticsprojectsaddingsignificantvaluetothewiderbusiness. Theidealcandidatewillhavestrongleadership,communication,andstakeholdermanagementskills,aswellashands-onexpertiseinSQL,PowerBI,anddatasciencetoolssuchasPython Team&WorkloadManagement LinemanagementresponsibilitiesforateamofBIdevelopersanddatascientiststosupporttheMI,datainsights,andadvancedanalyticsneedsofthewiderbusiness. Supportteamdevelopmentthroughregular1-2-1s,performancereviews,identificationoftrainingrequirements,andcreatingasharedlearningsculture. Throughyourteam,providebusinesssupportacrossthecreationofreportingdatasets,BIreports,dashboards,andpredictiveanalyticsmodels. Prioritisingrequestsandmanagementofteamworkloads,balancingshort-termreportingneedswithlonger-termdatascienceinitiatives. Ensurealldeliverablesarecompletedwithintimelinesandtohigh-qualitystandards. DeliveringQualityOfService Ensureregularcommunicationwithstakeholderssotheyknowthestatusandprogressoftheirrequests. EnsureallBIanddatasciencedeliverablesareaccurate,actionable,andmeetbusinessrequirements. Implementqualitycontrolandpeer-reviewmeasurestopreventinconsistenciesacrossalloutputs. MaintainasinglesourceoftruthfordataandensureconsistencyacrossBIreportinganddatascienceoutputs. More ❯

The Data Lead will drive the development of the organisation’s data capabilities, managing a growing team and overseeing the design, delivery, and governance of data infrastructure, pipelines, and analytics solutions. This role sets and executes the data vision across the business, ensuring timely, accurate, and actionable insights through collaboration, best practices, and strong leadership. They will manage and mentor … technical stakeholders to support decision-making and insight delivery. Requirements: Candidates will ideally have experience leading data teams and cross-functional projects, with a strong background in data engineering, analytics, or architecture. Proficiency in SQL and Python is essential, along with expertise in Microsoft Azure (Data Lakes, Blob Storage), Databricks, and modern data tooling. Strong communication, leadership, and problem-solving More ❯