1 to 25 of 698 Analytics Jobs in the North of England

Title: Data Analytics and Insights Manager Location: Hybrid – Manchester OR Leeds. 3 days on site per week, 2 days remote. Salary: From £60,000 Who we are: interactive investor is an award-winning investment platform that puts its customers in control of their financial future. We’ve been helping investors … expert content from our award-winning financial journalists, highly engaged community of investors, and daily newsletters and insights. Purpose of the role: As Data Analytics and Insights Manager at interactive investor, you lead our Data Analytics and Insights team and own analysis, reporting, and analytics strategy across the business. ...

Terraform. Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and associated data services Guide the selection and implementation of analytics and reporting tools (Power BI, Tableau, PowerApps). Stakeholder Engagement: Able to work closely with senior stakeholders to translate complex business requirements into scalable data platform ...

Terraform. Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and associated data services Guide the selection and implementation of analytics and reporting tools (Power BI, Tableau, PowerApps). Stakeholder Engagement: Able to work closely with senior stakeholders to translate complex business requirements into scalable data platform ...

mission to get data knowledge and skills out of silos and embedded into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. The role is very hands‐on and you'll support ...

across the organisation. Youll have the scope to introduce modern technologies, remove unnecessary manual work and build a platform capable of supporting future products, analytics and business decision-making. Salary: Circa £85K Location: Manchester Working pattern: Hybrid Lead Data Engineer - Manchester ...

scalable data pipelines and transformation workflows using SQL, dbt and cloud data platforms. Develop high-quality, tested and reusable data models that support reporting, analytics, AI and business decision‐making. Apply software engineering best practices, including version control, automated testing, CI/CD and deployment management. Ensure data solutions ...

help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets ...

sources. Migration and modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps ...

sources. Migration and modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps ...

platform day to day: monitor pipeline runs, triage failures and escalates where needed. Help prepare trusted datasets and Power BI semantic models for portfolio analytics, asset strategy, finance and risk. Our tech stack Platform: Microsoft Fabric (Lakehouse, Warehouse, Notebooks, Data Pipelines, Dataflows Gen2, Mirroring, OneLake) Languages: Python/PySpark, Spark ...

Your involvement will span the entire data lifecycle: from orchestrating data ingestion into our Azure Data Lake, designing and developing sophisticated data models for analytics, to deploying Azure Logic Apps and Function Apps for process automation. With tools like Databricks, Data Factory, Azure SQL Server, and Python you will help ...

While mastery of every tool is not required, we are seeking Engineers who have experience with one or more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data ...

engineering experience Familiarity with policy-as-code or platform governance controls Relevant cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ...

Relevant Oracle certification (e.g. Oracle APEX Cloud Developer Professional or Oracle Database SQL Certified Associate). Python or shell scripting for automation. Reporting and analytics tools such as Power BI or Oracle Analytics. Experience in education, assessment or another regulated, high‐stakes delivery environment. Jira and Confluence, Microsoft Teams ...

Methods Analytics (MA) is recruiting for Senior Fabric Engineerto join our team within the Public Sector Business unit on a permanent basis. This role will bemainly remotebut require flexibility to travel to client sites, and our officesbased in London, Sheffield, and Bristol. What You'll Be Doing as a Senior … associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide ...

organisation. You’ll have the freedom to introduce modern technologies, develop a talented engineering team and build a platform capable of supporting future analytics, AI products and strategic decision-making. Location: Manchester Working pattern: Hybrid Data Engineering Lead – AWS & AI - Manchester ...

forward-looking risk intelligence. Act as a hands-on transformation lead, working across Risk, Data and Technology teams to deliver sustainable reporting and analytics improvements. Drive continuous improvement by challenging existing processes, enhancing reporting quality, increasing efficiency and embedding best practices, documentation and knowledge sharing. What we`re looking ...

enhance modern cloud-based data platforms using AWS and Azure technologies Gain hands-on experience with a wide range of data engineering, integration and analytics challenges Collaborate with experienced engineers, architects and data specialists in supportive, multidisciplinary teams Develop expertise across cloud-native data services, PySpark, SQL and modern engineering ...

your technical expertise with business understanding, shaping trusted reporting and the data foundations behind it. About Our Opportunity Reporting to our Head of Data & Analytics, you’ll own a portfolio of reporting across our clinical, commercial, operational and financial teams. From dashboards used by colleagues every day to reporting ...

stakeholders to enhance reporting and Power BI capabilities. Implement monitoring, logging and recovery processes to ensure platform reliability. Support future integrations and AI-driven analytics initiatives. Produce technical documentation and provide knowledge transfer to internal teams Experience & Capabilities Proven experience delivering production data platforms using Microsoft Fabric. Strong hands ...

delivery of our migration from SQL Server to an AWS lakehouse, and designing the real‐time streaming architecture that underpins automation, business intelligence, and analytics, while mentoring engineers across the team. Job Duties Own the technical architecture, standards and design patterns for the data platform, covering batch and streaming pipelines ...

critical role in helping Very unlock the value of its data. We're responsible for the platforms, pipelines and products that power reporting, analytics, data science, personalisation and decision-making across the Group. Our teams work closely with Product, Architecture, Data Science, Delivery and Business stakeholders to solve complex challenges ...

will need to display the following: REQUIRED KNOWLEDGE AND WORK EXPERIENCE Essential Proven, practical experience operating as a Business Analyst delivering Business Intelligence (BI), analytics, data warehouse, or wider data platform projects. Exceptional requirements gathering skills, with demonstrated capability in defining KPIs, business rules, data definitions, and reporting requirements. Ability ...

enhance modern cloud-based data platforms using AWS and Azure technologies Gain hands-on experience with a wide range of data engineering, integration and analytics challenges Collaborate with experienced engineers, architects and data specialists in supportive, multidisciplinary teams Develop expertise across cloud-native data services, PySpark, SQL and modern engineering ...

Power Platform & integration Experience developing more complex Power Platform solutions and integrating Power Apps, Power Automate, Dataverse, SharePoint, Microsoft 365, APIs or Azure. Advanced analytics & automation Knowledge of DAX, SQL, Python or other analytical and automation technologies that complement Power BI and Power Platform development. AI & emerging technology Exposure ...