101 to 125 of 5,798 Analytics Jobs in the UK

making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst More ❯

making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst More ❯

making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst More ❯

making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst More ❯

making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst More ❯

a Technical Data Product Manager to take ownership of the strategy and development of business intelligence products. You'll be shaping how the business builds and scales its internal analytics and reporting capability. What You'll Be Doing Lead the end-to-end lifecycle of BI product development - from ideation and stakeholder alignment to delivery and continuous improvement Own the More ❯

or any other MDM tools (both customer and product domains). Understanding of established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization. Understanding of GDPR and The Data Protection Act 2018. Knowledge of programming languages including Python is highly desirable. TOGAF or ISEB accreditation (preferred). Experienced in architecture design More ❯

business to create and maintain KPI data reporting. Assist in developing a strategy for better reporting and visibility of data in the business. Assist in the development of an Analytics strategy using PowerBI and semantic models. Create visually appealing and user-friendly Power BI reports and Dashboards. Ensure that all reports, dashboards and KPI's are delivered in line with More ❯

and business intelligence tooling to join my clients payments team, within the fintech space . This role is pivotal in building and optimizing data systems and pipelines that support analytics, reporting. Key Responsibilities Develop high-quality Power BI and Tableau dashboards , supporting business teams in making data-informed decisions. Ensure data integrity, reliability, and performance through testing, monitoring, and documentation. More ❯

business to create and maintain KPI data reporting. Assist in developing a strategy for better reporting and visibility of data in the business. Assist in the development of an Analytics strategy using PowerBI and semantic models. Create visually appealing and user-friendly Power BI reports and Dashboards. Ensure that all reports, dashboards and KPI's are delivered in line with More ❯

business to create and maintain KPI data reporting. Assist in developing a strategy for better reporting and visibility of data in the business. Assist in the development of an Analytics strategy using PowerBI and semantic models. Create visually appealing and user-friendly Power BI reports and Dashboards. Ensure that all reports, dashboards and KPI's are delivered in line with More ❯

equivalent hands-on experience Desirable: Experience with Prospect Soft (CRM) or Pegasus Opera (ERP) Basic SQL knowledge Background in the manufacturing industry HND or degree in Computer Science, Data Analytics, or Information Systems If this role is of interest, please apply or contact Kirsty Chan on . Should your application be unsuccessful, your CV will be kept on file for More ❯

levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL More ❯

emerging technologies in the future. This is an incredibly exciting time to join the business, and play a key role in really driving the use of AI and advanced analytics techniques to accelerate their journey to becoming a truly tech-driven and data-driven organisation. Requirements: Data Engineering experience - including building data models and structuring databases Proven experience building AI More ❯

emerging technologies in the future. This is an incredibly exciting time to join the business, and play a key role in really driving the use of AI and advanced analytics techniques to accelerate their journey to becoming a truly tech-driven and data-driven organisation. Requirements: Data Engineering experience - including building data models and structuring databases Proven experience building AI More ❯

an agile environment Strong leadership and communication skills, with the ability to engage confidently with clients, including C-level stakeholders Desirable Skills (Bonus Points) Experience with data engineering and analytics using native cloud tools (AWS Glue, Azure Data Factory, GCP Dataflow, etc.) Familiarity with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application More ❯

an agile environment Strong leadership and communication skills, with the ability to engage confidently with clients, including C-level stakeholders Desirable Skills (Bonus Points) Experience with data engineering and analytics using native cloud tools (AWS Glue, Azure Data Factory, GCP Dataflow, etc.) Familiarity with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

scalable ETL/ELT data pipelines using Azure Data Factory, Data Lake, and SQL. * Prepare and preprocess large datasets to ensure data quality and readiness for ML modelling and analytics workflows. 4. Software Engineering & Collaboration * Write clean, maintainable, and production-ready code in Python using industry-standard libraries and tools. * Work collaboratively with data scientists, actuarial teams, and software developers More ❯

scalable ETL/ELT data pipelines using Azure Data Factory, Data Lake, and SQL.* Prepare and preprocess large datasets to ensure data quality and readiness for ML modelling and analytics workflows. 4. Software Engineering & Collaboration * Write clean, maintainable, and production-ready code in Python using industry-standard libraries and tools.* Work collaboratively with data scientists, actuarial teams, and software developers More ❯

team's capabilities. Qualifications Education: Bachelor's degree in data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming More ❯

planning. CANDIDATE PROFILE: Advanced Excel and intermediate Power BI Strong analytical thinking, attention to detail, and ability to communicate insights to non-technical stakeholders. Bachelor's degree in Data Analytics, Industrial Engineering, Operations Management, or related field. Familiarity with SQL queries, MES/SCADA systems and SAP ERP systems. COMPANY: At McCormick, we bring our passion for flavor to work More ❯

and deliver actionable data solutions Automate and maintain recurring reports in Power BI and SSRS Promote a data-driven culture by advocating best practices in BI and self-serve analytics In order to be the successful BI Developer and have a chance to gain such an exciting opportunity you will ideally need to have the following: 4+ years of experience More ❯

wide range of IT projects. Involvement in the end to end project life cycle Knowledge and experience of different agile software project methodologies Knowledge of education sector, school MIS, analytics Self-organisation, self-motivation and time management skills. Ability to set personal objectives that support the business/department/team goals Good diplomacy and negotiation skills. High level of More ❯