276 to 300 of 24,067 Analytics Jobs in the UK

least 2 years in a leadership role( not mandate) Bachelor's degree in Finance, Accounting, Business Administration, or related field Advanced Excel skills and experience with ERP systems Data Analytics Requirements: 3+ years' experience with data analysis and reporting tools Proficiency in SQL for data extraction and analysis Experience with visualization tools (e.g., Tableau, Power BI) Demonstrated ability to translate … Microsoft Office Suite Experience with business intelligence platforms Additional Desired Qualifications: MBA or relevant master's degree Professional certifications (CPA, PMP, or similar) Experience with machine learning or predictive analytics Knowledge of Python or R for advanced data analysis Key job responsibilities • Ownership and implementation of new businesses and subsidiaries onto AR platforms • Partner with key counterparts across geographies to More ❯

innovations, make recommendations that support business growth and drive efficiencies, align business requirements with Next strategy, and are responsible for designing, managing, and deploying an organisation’s data and analytics infrastructure. The position requires strong problem-solving skills, detailed knowledge of corporate and legal data standards, and an understanding of information systems. The Data Architect is also expected to plan … design of services that support IT strategy, organisational roadmaps, and Next Technology Solutions standards. About the Role Set technical direction and roadmap for the data platform (Data Engineering and Analytics) and provide technical leadership in collaboration with key technical and business stakeholders. Define, document, share (explain/present), and maintain solution architectures and high-level design patterns for the data More ❯

leadership teams to help drive the best possible decisions. Communicate technical information to non-technical stakeholders in an understandable and mindful manner. Assist with internal and external audits. Reporting & Analytics Provide input into a common data model creation, ensuring reporting requirements are met and data points are defined and understood. Act as a custodian of system’s data integrity to … Planning & Analysis function to achieve the objectives of reporting strategy. Assist users with queries on existing reports and direct any new requirements to appropriate teams. Develop and implement data analytics tools to ensure objectives of standardisation are met and to measure performance in line with Finance’s SLAs. Compliance & Security Ensure compliance with relevant laws and regulations, as well as More ❯

Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the role: As a Data Governance Consultant , you will be responsible for ensuring that an organization's data assets are properly managed and used in accordance with policies …/Data Reporting Analyst Marketing Data Solutions Consultant - Financial Services London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 day ago Analytical Consultant, Data, Measurement and Analytics (Fixed-Term Contract) London, England, United Kingdom 2 weeks ago Data and AI - Senior Consultants/Senior Managers London Area, United Kingdom £90,000.00-£110,000.00 9 hours ago City More ❯

and metadata management principles Proven experience with large-scale data migration projects and cloud transformation Deep understanding of enterprise architecture frameworks and methodologies Experience with financial risk systems and analytics platforms Strong technical background in database platforms (Oracle, Snowflake) Understanding of cloud architecture principles (AWS preferred) Excellent communication and stakeholder management skills Ability to translate complex technical concepts for non … TECHNICAL SKILLS Enterprise systems architecture AWS and cloud technologies Oracle and Snowflake platforms Data modeling and design Data lineage and governance tools ETL/ELT processes Big data and analytics platforms Financial risk systems and methodologies Programming knowledge (Python, SQL, etc.) DevOps and CI/CD principles Knowledge graph and semantic web technologies Machine learning operations (MLOps) AI-focused data More ❯

practices comply with statutory regulations and legislation. • Data Management and Analysis: o Extract, clean, and manage large datasets using SQL and Python for in-depth analysis. o Utilize data analytics tools to track, analyse, and report on key fraud metrics and KPIs. o Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams … detection and payment technology. o Participate in fraud prevention workshops, conferences, and training sessions to enhance skill sets. Qualifications We’re Looking For: • Professional certifications in fraud detection, data analytics, or related fields are a plus. • Minimum of 3-5 years of experience in a similar role, with a focus on fraud prevention and data analysis within Fintech or Banking. More ❯

practices comply with statutory regulations and legislation. • Data Management and Analysis: o Extract, clean, and manage large datasets using SQL and Python for in-depth analysis. o Utilize data analytics tools to track, analyse, and report on key fraud metrics and KPIs. o Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams … detection and payment technology. o Participate in fraud prevention workshops, conferences, and training sessions to enhance skill sets. Qualifications We’re Looking For: • Professional certifications in fraud detection, data analytics, or related fields are a plus. • Minimum of 3-5 years of experience in a similar role, with a focus on fraud prevention and data analysis within Fintech or Banking. More ❯

practices comply with statutory regulations and legislation. • Data Management and Analysis: o Extract, clean, and manage large datasets using SQL and Python for in-depth analysis. o Utilize data analytics tools to track, analyse, and report on key fraud metrics and KPIs. o Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams … detection and payment technology. o Participate in fraud prevention workshops, conferences, and training sessions to enhance skill sets. Qualifications We’re Looking For: • Professional certifications in fraud detection, data analytics, or related fields are a plus. • Minimum of 3-5 years of experience in a similar role, with a focus on fraud prevention and data analysis within Fintech or Banking. More ❯

storage solutions. Collaborate with the IT team to implement robust data infrastructure and ensure seamless data flow across systems and AI-compatibility. Enable the use of AI-driven data analytics and business intelligence tools to derive valuable insights from data. Promote data-driven decision-making across the organisation. Operationalise ML, GenAI & RAG - strengthen our LLM-based assistant so colleagues can … and scripting languages: Python, R. Designing and building APIs (RESTful, etc.) Understanding of FAIR principles. and possibly... Genomics or life-science datasets. Experience measuring ROI of GenAI tools (usage analytics, time‐saved metrics, user‐feedback loops). Experience working within a rapidly expanding, scale up biotech environment. Practical experience working to ISO standards. More reasons to join us: bit.bio provides More ❯

of the risk and compliance requirements associated with this. Oracle Database MongoDB Cloud Data Technologies (Mainly Azure - SQL Database, Data Lake, HD Insight, Data Factory etc.) Knowledge of advanced analytics for client segmentation, lifetime value analysis, cross-sell opportunities and campaign impact evaluation. Familiarity with CRM tools and platforms such as Salesforce or HubSpot. Familiarity with Google Analytics/Data More ❯

About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community … orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL More ❯

in identifying product improvement opportunities in line with business Outcomes and Key Results (OKRs), the Product Owner’s vision and roadmap. As a Senior agile Business Analyst in Data & Analytics, you’ll capture and analyses data requirements, shaping technical design for agile delivery teams. Develop data models, data flows, and other data-related artefacts to visualise data relationships and processes. More ❯

in identifying product improvement opportunities in line with business Outcomes and Key Results (OKRs), the Product Owner’s vision and roadmap. As a Senior agile Business Analyst in Data & Analytics, you’ll capture and analyses data requirements, shaping technical design for agile delivery teams. Develop data models, data flows, and other data-related artefacts to visualise data relationships and processes. More ❯

in identifying product improvement opportunities in line with business Outcomes and Key Results (OKRs), the Product Owner’s vision and roadmap. As a Senior agile Business Analyst in Data & Analytics, you’ll capture and analyses data requirements, shaping technical design for agile delivery teams. Develop data models, data flows, and other data-related artefacts to visualise data relationships and processes. More ❯

in identifying product improvement opportunities in line with business Outcomes and Key Results (OKRs), the Product Owner’s vision and roadmap. As a Senior agile Business Analyst in Data & Analytics, you’ll capture and analyses data requirements, shaping technical design for agile delivery teams. Develop data models, data flows, and other data-related artefacts to visualise data relationships and processes. More ❯

for performance and usability Provide training and support to end-users on BI tools and reporting processes Stay current with industry trends and best practices in BI and data analytics Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL More ❯

available Salary up to £38,000 per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working. THE ROLE As a Data Warehouse Engineer , you will have the following responsibilities: Design, develop, and More ❯

technical concepts to non-technical stakeholders Preferred Requirement 2-3 years' professional experience in data analysis, business intelligence, or a related field Experience with Microsoft Fabric or Azure Synapse Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and integration Familiarity with natural language More ❯

raw data into actionable insights. You will work closely with cross-functional teams to develop robust data models, deliver cutting-edge Power BI dashboards, and foster a culture of analytics excellence. This role offers the opportunity to shape the future of our BI function by contributing to strategic initiatives, mentoring junior team members, and driving the adoption of best practices More ❯

Responsibilities The Senior Software Engineer is responsible for designing, developing, and implementing advanced solutions that address complex industrial challenges. This role requires a deep understanding of industrial processes, data analytics, and the ability to code and develop software solutions. Solution Design and Development: Collaborate with clients to understand their industrial processes and identify areas for improvement. Design and develop customized More ❯

on a 12 month fixed term contract basis, and is an office based role. What are we looking for? Proficiency in Power BI, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lakes, and big data technologies like Microsoft Fabric. Certification in Azure (e.g., Microsoft Certified: Azure Data Engineer Associate) is highly desirable. Excellent problem-solving abilities, strong communication skills More ❯

science, working in a commercial setting or in consulting Experience with Machine Learning and statistical modelling techniques Strong programming skills in R and/or Python Experience applying advanced analytics and Machine Learning to solve business problems Experience with data visualization software/libraries (Tableau, PowerBI) Comfort working both on a team and autonomously Strong written and verbal communication skills More ❯

business. Skills & experience required: Educated to degree level in a numerate subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. 2-4 years experience in data analytics, employing a wide variety of techniques to solve problems and answer questions around sales performance (or comparative experience customer, financial or business data). Strong skills in SQL for data More ❯

a timely fashion, these could be data or process related. Experience, Education and Qualifications: Degree in Finance, Business, Computer Science, Software Engineering, Information Science, Economics, Statistics, Accounting or Data & Analytics or equivalent experience gained Understanding of the implementation process including requirement analysis, design, configuration/development, migration, testing, and change management. Strong observational, analytical and numerical reasoning skills Effective communication More ❯

Skills & experience required: 5+ years’ experience in a Data Engineering or Development role Strong SQL skills (essential); Python and C# (desirable) Hands-on experience with: Azure SQL, Azure Synapse Analytics, Azure Data Lake Microsoft Power BI, Power Automate Cloud platforms – Azure (primary), AWS (desirable) Experience with APIs, SaaS data integration, and ERP systems (e.g. Microsoft Dynamics) Deep understanding of database More ❯