101 to 125 of 181 Analytics Jobs in the West Midlands

development, prioritization frameworks (RICE, MoSCoW), and agile methodologies. Ability to balance long-term strategy with near-term execution, ensuring continuous product progress while adapting to changing needs. Experience with analytics and business intelligence (BI) tools (e.g., Tableau, Power BI, Sugar Discover) is a strong plus. Strong technical acumen, including familiarity with APIs, integrations, and data models. Exceptional cross-functional collaboration … to influence without authority. Strong communication and stakeholder management skills, capable of engaging both technical and non-technical audiences. Preferred Qualifications: Experience working with CRM platforms. Background in data analytics, AI-driven automation, or workflow orchestration. Bachelor’s degree in Business, Computer Science, Data Science, or a related field Focused on diversity and a work life balance this is a More ❯

wider business on the AI journey. We’re after someone with: A good grasp of AI tools and how to apply them (no need to code). Experience in analytics, automation, or data-driven change. Strong communication skills - you can make AI make sense. Bonus if you know insurance, regulation, or AI compliance. If you like the idea of helping More ❯

Lake and Databricks environment. Defining data architecture, governance, and integration standards. Collaborating with business and technical teams to translate needs into scalable data solutions. Building a platform ready for analytics, AI, and future data growth. What we’re looking for: Proven experience as a Data Architect or Senior Data Engineer with design/delivery experience. Strong background with Data Lakes More ❯

Permanent - Coventry - 3/4 days onsite - £40K DOE MUST BE EXPERT IN GOOGLE ANALYTICS Experience and good working knowledge of Looker Studio or equivalent data presentation tool Experience of CRO processes, tracking, evaluation and reporting would be preferable but not essential. At least 2 years experience working in a similar role Data driven mindset & keenness to learn new tools More ❯

delivery, and working directly with senior stakeholders. Key Responsibilities: Lead the operational delivery of the IT strategy, supporting short and long-term business goals. Manage IT functions covering data analytics, user support, and third-party software management. Build and maintain strong supplier relationships, including oversight of managed service providers. Ensure ongoing compliance with GDPR and data protection regulations. Drive innovation More ❯

for promotion & Management of code. SAS Studio - job development and deployment. SAS Viya 3.5/Viya 4 - hands-on experience with modernised SAS platforms and migration strategies. SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - familiarity with reporting and investigation tools. Oracle - working knowledge of Oracle databases, particularly in data staging and decisioning workflows Process Knowledge: Configuration Management - experience More ❯

Power BI dashboards, reports, and data models using DAX and Power Query (key focus). Develop and maintain Azure Data Factory ETL/ELT pipelines. Work with Azure Synapse Analytics on modelling, optimisation, and BI-ready datasets. Support early adoption and migration to Microsoft Fabric . Write and optimise SQL queries for reporting, analysis, and data preparation. Collaborate with analysts … Power BI reports, dashboards, and data models. Hands-on expertise with Azure Data Factory ETL pipelines. Working knowledge of Azure Synapse modelling and performance tuning. Good SQL skills for analytics and optimisation. Understanding of Azure Data Lake structures. Experience using Git and Azure DevOps in Agile teams. 24 years experience in a Data Engineering or BI Development role. Desirable: Exposure More ❯

responsible for designing, developing, and maintaining interactive dashboards and reports that provide actionable insights to stakeholders. You will also support user training to promote adoption of our self-service analytics platform. Key Responsibilities: Develop and maintain Power BI dashboards, reports, and data models. Collaborate with business units to gather requirements and translate them into effective BI solutions. Optimize data flows … BI solutions, implementing improvements where necessary. Stay up to date with the latest Power BI features and industry trends. Provide training and support to users to encourage self-service analytics and data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in More ❯

responsible for designing, developing, and maintaining interactive dashboards and reports that provide actionable insights to stakeholders. You will also support user training to promote adoption of our self-service analytics platform. Key Responsibilities: Develop and maintain Power BI dashboards, reports, and data models. Collaborate with business units to gather requirements and translate them into effective BI solutions. Optimize data flows … BI solutions, implementing improvements where necessary. Stay up to date with the latest Power BI features and industry trends. Provide training and support to users to encourage self-service analytics and data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in More ❯

Documentation: Maintain clear technical documentation and share knowledge across teams. Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/ More ❯

Documentation: Maintain clear technical documentation and share knowledge across teams. Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/ More ❯

ground-zero. Team: You'll lead 2 Data Quality Improvement Managers and 1 Data Quality Analyst. Impact: Build the policies, standards, stewardship model and data quality controls that underpin analytics, AI readiness an click apply for full job details More ❯

skills -strong project management Responsibilities: Minimum number of relevant years of experience: 5 Detailed Job Description: -Ability to deploy and configure Elasticsearch, Logstash, Kibana for centralized logging/data analytics; setting up ELK clusters with high availability/optimization -Proficiency in containerization using Docker and orchestration with Kubernetes, ensuring effective management and scaling of containerized applications in all environments -Experience More ❯

skills -strong project management Responsibilities: Minimum number of relevant years of experience: 5 Detailed Job Description: Ability to deploy and configure Elasticsearch, Logstash, Kibana for centralized logging/data analytics; setting up ELK clusters with high availability/optimization Proficiency in containerization using Docker and orchestration with Kubernetes, ensuring effective management and scaling of containerized applications in all environments Experience More ❯

skills -strong project management Responsibilities: Minimum number of relevant years of experience: 5 Detailed Job Description: -Ability to deploy and configure Elasticsearch, Logstash, Kibana for centralized logging/data analytics; setting up ELK clusters with high availability/optimization -Proficiency in containerization using Docker and orchestration with Kubernetes, ensuring effective management and scaling of containerized applications in all environments -Experience More ❯

models, patterns and guardrails across every function. Partner with data, technology and business leaders to build a unified, governed data ecosystem. Turn policy into practice design models that make analytics reliable and self-service thrive. Raise data literacy and evangelise the “why” behind data quality and good modelling. Coach two talented Data Modellers and elevate the craft across teams. Lead More ❯

marketing to plan and execute co-branded campaigns and events. Maximise MDF and vendor marketing budgets to deliver measurable returns. Track campaign effectiveness and recommend continuous improvements based on analytics and feedback. Relationship & Stakeholder Management Build and maintain strong, collaborative relationships with vendor stakeholders across sales, marketing, and product management. Ensure internal teams remain aligned with vendor objectives through regular More ❯

marketing to plan and execute co-branded campaigns and events. Maximise MDF and vendor marketing budgets to deliver measurable returns. Track campaign effectiveness and recommend continuous improvements based on analytics and feedback. Relationship & Stakeholder Management Build and maintain strong, collaborative relationships with vendor stakeholders across sales, marketing, and product management. Ensure internal teams remain aligned with vendor objectives through regular More ❯

Experience commissioning or maintaining control systems in Energy/Utilities/Oil & Gas. Familiarity with modern cybersecurity tooling, monitoring platforms, or industrial SOC. Exposure to AI-assisted solutions or analytics in industrial systems (not required but beneficial). More ❯

a data-driven organisation undergoing a major digital transformation. As a Technical Business Analyst , you’ll work at the intersection of business operations and technology—helping to enhance enterprise analytics, reporting capabilities, and decision-making processes. Working closely with IT and cross-functional stakeholders, you’ll gather requirements, optimise workflows, and support the implementation of modern data and reporting frameworks … define data/reporting needs and document business requirements Analyse and improve data processes to support efficient and accurate reporting Translate business requirements into technical specifications for data and analytics teams Contribute to the development of data models, ETL processes, and system documentation Support UAT, training, and adoption of new analytics platforms Ensure all reporting solutions meet compliance, governance, and … communication and stakeholder engagement skills Ability to translate technical solutions into business value Detail-oriented, analytical, and able to work in fast-paced environments Desirable Experience Experience with cloud analytics platforms (e.g. Azure, AWS, GCP) Familiarity with Agile methodologies (Scrum, Kanban) Exposure to enterprise or public sector data environments More ❯

automation, and customer analytics. Build a library of reusable AI tools and frameworks to accelerate adoption across sites. Ensure data readiness, improving data quality and structure to support advanced analytics and automation. Lead change management and training programmes, helping teams understand and embrace AI tools. Establish governance and ethical frameworks for responsible AI use. Track performance through defined KPIs and … Essential experience includes: Proven background in AI or digital transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management … delivering measurable improvements through AI and automation. Desirable: Experience working with ERP systems (SAP, Odoo, NetSuite) and RPA or digital twin technologies. Proficiency in Power BI or Tableau for analytics and reporting. Understanding of AI governance and data ethics. Formal qualification in Computer Science, Data Science, or a related field. What Youll Achieve In your first 1224 months, youll: Deliver More ❯

automation, and customer analytics. Build a library of reusable AI tools and frameworks to accelerate adoption across sites. Ensure data readiness, improving data quality and structure to support advanced analytics and automation. Lead change management and training programmes, helping teams understand and embrace AI tools. Establish governance and ethical frameworks for responsible AI use. Track performance through defined KPIs and … Essential experience includes: Proven background in AI or digital transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management … delivering measurable improvements through AI and automation. Desirable: Experience working with ERP systems (SAP, Odoo, NetSuite) and RPA or digital twin technologies. Proficiency in Power BI or Tableau for analytics and reporting. Understanding of AI governance and data ethics. Formal qualification in Computer Science, Data Science, or a related field. What You’ll Achieve In your first 12–24 months More ❯

automation, and customer analytics. Build a library of reusable AI tools and frameworks to accelerate adoption across sites. Ensure data readiness, improving data quality and structure to support advanced analytics and automation. Lead change management and training programmes, helping teams understand and embrace AI tools. Establish governance and ethical frameworks for responsible AI use. Track performance through defined KPIs and … Essential experience includes: Proven background in AI or digital transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management … delivering measurable improvements through AI and automation. Desirable: Experience working with ERP systems (SAP, Odoo, NetSuite) and RPA or digital twin technologies. Proficiency in Power BI or Tableau for analytics and reporting. Understanding of AI governance and data ethics. Formal qualification in Computer Science, Data Science, or a related field. What You’ll Achieve In your first 12–24 months More ❯

re looking for a skilled Data Scientist/Analyst to support policy and reform initiatives within the Connections directorate. You'll be at the heart of modelling, forecasting, and analytics that shape strategic decisions and regulatory engagement. Working closely with the Data & Systems Lead and Reporting & Insights Lead, you'll build reproducible pipelines, run simulations, and deliver insights that influence … to ad-hoc data requests with rapid, high-quality analysis. Ensure compliance with data protection and information security standards. About You Essential: Proven experience in data science/advanced analytics applied to policy or process change. Strong skills in Python, SQL, and Power BI. Ability to communicate complex models to non-specialists. Understanding of GB energy networks and the connections More ❯

We are seeking an experienced Release Manager to support a large-scale data and analytics programme within a secure government environment. The role sits within the Minerva platform team and will focus on increasing release management capacity to deliver critical enhancements to the Self-Assessment (SA) Registration Risking initiative. Key Responsibilities: Manage the end-to-end release process across development More ❯