476 to 500 of 4,097 Analytics Jobs

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in More ❯

learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

governance Stay up to date with BI tools, technologies and trends. Lead the integration of AI and ML techniques and tools to help automate repetitive tasks and improve predictive analytics for forecasting. The Candidate Business Intelligence Analyst You will bring proven experience in a BI, Data Analyst or similar role. Demonstrate the design of dashboards, reports and data visualisation methods. More ❯

learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in More ❯

learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in More ❯

learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in More ❯

key interface between business stakeholders and technical teams, gathering and translating requirements into robust data solutions. Your SQL expertise will be essential in validating data, building queries, and supporting analytics workflows. Key Responsibilities Requirements Gathering & Stakeholder Engagement Lead workshops and interviews to capture detailed business and data requirements. Translate business needs into clear, actionable technical specifications. Collaborate with cross-functional More ❯

for you. Key Responsibilities Design, develop, and maintain BI solutions using Power BI, SQL, and Azure Data Services Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data More ❯

for you. Key Responsibilities Design, develop, and maintain BI solutions using Power BI, SQL, and Azure Data Services Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data More ❯

strategy Desirable Skills Experience with Java (Spring Boot, Jersey, Maven) for back-end integration Familiarity with Agile methodologies and government digital service standards Knowledge of Power BI for embedded analytics and reporting Understanding of accessibility standards (WCAG) and responsive design principles What We're Looking For Proven experience delivering enterprise-grade PowerApps solutions Strong problem-solving skills and attention to More ❯

for you. Key Responsibilities Design, develop, and maintain BI solutions using Power BI, SQL, and Azure Data Services Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data More ❯

for you. Key Responsibilities Design, develop, and maintain BI solutions using Power BI, SQL, and Azure Data Services Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data More ❯

for you. Key Responsibilities Design, develop, and maintain BI solutions using Power BI, SQL, and Azure Data Services Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data More ❯

from legacy on-prem systems to a modern Azure-based data platform. Build and manage a team of BI Analysts and Data Engineers. Develop dashboards, reporting tools, and predictive analytics to support business units. Champion data governance, quality, and compliance across the organisation. Act as a trusted advisor to senior leadership, translating data into commercial insight. What We're Looking More ❯

from legacy on-prem systems to a modern Azure-based data platform. Build and manage a team of BI Analysts and Data Engineers. Develop dashboards, reporting tools, and predictive analytics to support business units. Champion data governance, quality, and compliance across the organisation. Act as a trusted advisor to senior leadership, translating data into commercial insight. What We're Looking More ❯

for you. Key Responsibilities Design, develop, and maintain BI solutions using Power BI, SQL, and Azure Data Services Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data More ❯

and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to-end data pipeline orchestration. Excellent SQL engineering capability; experience designing data models for analytics and operational reporting. Proven track record in the insurance or wider financial services sector , ideally with large dataset experience. Experience working in collaborative agile teams with CI/CD via More ❯

insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics. We deliver finance More ❯

suite level to shape roadmaps & business cases Mentor and inspire global delivery teams while building internal capability 🎯 What We’re Looking For 10+ years in BI/Data Warehousing & analytics, with 4+ years in solution/technical architecture Strong banking domain expertise (essential) and insurance knowledge (advantage) Proven track record in enterprise data modelling (3–5 years minimum) Practical knowledge More ❯

suite level to shape roadmaps & business cases Mentor and inspire global delivery teams while building internal capability 🎯 What We’re Looking For 10+ years in BI/Data Warehousing & analytics, with 4+ years in solution/technical architecture Strong banking domain expertise (essential) and insurance knowledge (advantage) Proven track record in enterprise data modelling (3–5 years minimum) Practical knowledge More ❯

Business Intelligence Analyst/BI Officer An exciting opportunity for a Business Intelligence Analyst/BI Officer to use data visualisation and analytics to drive insight, inform strategy, and support continuous improvement across the organisation and the wider sport sector. If youve also worked in the following roles, wed also like to hear from you: Data Analyst, Reporting Analyst, Power More ❯