126 to 150 of 6,042 Analytics Jobs in the UK

communication skills for conveying technical designs to diverse audiences. Proficiency in building analytical and operational data models. Background in enterprise data architecture, engineering, or analytics, with a proven history of delivering solutions such as data warehousing, operational reporting, or business intelligence systems. Azure or Databricks certifications are a plus. More ❯

local laws and regulations Provide backup coverage and support for NA commissions as needed Required Qualifications: Bachelor's degree, or higher, in Finance, Business Analytics, Data Science, or a related field Possibly you will be Certified Compensation Professional (CCP) or similar (but not essential) 3+ years proven experience in finance More ❯

system configuration, customization, and integration of financial applications. Proficiency in SQL and data query languages to extract and manipulate data. Familiarity with reporting and analytics tools used in conjunction with Fenergo (e.g., Microsoft Excel, Power BI, or similar). Familiarity with "low code platforms", such as Microsoft Power Platform or More ❯

Senior D365 Developer We have an exciting opportunity for a Senior/Lead Dynamics D365 Developer to join a fast-paced, growing CRM, Data & Analytics consultancy. The ideal candidate will possess a deep understanding of Microsoft Dynamics 365 CRM and the Power Platform suite. You will play a critical role More ❯

Senior D365 Developer We have an exciting opportunity for a Senior/Lead Dynamics D365 Developer to join a fast-paced, growing CRM, Data & Analytics consultancy. The ideal candidate will possess a deep understanding of Microsoft Dynamics 365 CRM and the Power Platform suite. You will play a critical role More ❯

to progress into more technical data science, data engineering or web development roles. Requirements - Ideal candidates will have 3-4 years’ experience in data analytics or data science having worked with big data sets to draw useful insights and build processes to extract value. They will also have a degree More ❯

to extract and manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. Familiarity with reporting and analytics tools, Qlik, Microsoft Excel, Power BI, Synapse, Snowflake or similar. Self-motivated, proactive, with a strong sense of ownership, initiative, and problem-solving abilities. Excellent More ❯

to progress into more technical data science, data engineering or web development roles. Requirements - Ideal candidates will have 3-4 years’ experience in data analytics or data science having worked with big data sets to draw useful insights and build processes to extract value. They will also have a degree More ❯

aggregating data from multiple sources and compiling it into a digestible and actionable format - Partnering with other analysts and BI engineers in planning and analytics to build analytical solutions to deliver on business goals - Propose and implement business metrics for senior management reviews and work with business intelligence and data More ❯

complex analyses and data insights to both technical and non-technical stakeholders, ensuring decisions are grounded in data. You Have: 5+ Years in Data Analytics: Proven experience in a data-driven environment, ideally in a high-growth e-commerce or retail setting. Expertise in SQL: Advanced skills in SQL for More ❯

risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards Integrating More ❯

committed to supporting restaurants through these ever-changing times. Today, more than 50 major brands in over 40 countries trust RMS for data-driven analytics and tech-enabled solutions to optimize sales, menus, and a brand's financial health. Six of the top 10 US fast food brands and More ❯

managing the organization's data platform foundations. This role involves designing, implementing, and maintaining scalable, reliable, and secure data platforms to support business insights, analytics, and other data-driven initiatives. Job Specification ( Technical Skills) : Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git More ❯

regulatory, and data privacy law compliance such as GDPR or PECR. Proficiency in using cloud services (AWS, Google Cloud) for data storage, processing, and analytics solutions. Effective communication skills to articulate complex data processes to both technical and non-technical stakeholders. Familiarity with the implications of AI and machine learning More ❯

the whole picture for our clients, around the clock - from around the world. In Data, we're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems More ❯

in a fast-paced environment, delivering on multiple projects with tight deadlines, especially during key reporting periods. Bonus Points for: Educational background in Business Analytics, Engineering, Maths, Statistics, or similar quantitative discipline preferred. Direct experience working within a cloud based FP&A tool along with working with Hubspot and Xero. More ❯

and the annual business planning round. This will require you to build strong relationships with colleagues in stakeholder teams across the College, particularly the Analytics and Data Governance teams. The Lead Analyst will take the lead in using data to transform the operations of CIEL. You will become intrinsic in More ❯

Science, Economics) Direct experience with problems such as AML scenario tuning, fraud rule optimisation, or detection intelligence design Familiarity with regulatory or compliance-driven analytics environments Fincrime certifications such as CAMS, ICA, or equivalent Additional Information The Perks We trust you, so we offer flexible working hours, as long it More ❯

Science, Economics) Direct experience with problems such as AML scenario tuning, fraud rule optimisation, or detection intelligence design Familiarity with regulatory or compliance-driven analytics environments Fincrime certifications such as CAMS, ICA, or equivalent Additional Information The Perks We trust you, so we offer flexible working hours, as long it More ❯

Skills and Experience: Past experience in managing a team of engineers in a SaaS environment. Solid technical proficiency in data engineering, data architectures, and analytics, with a specialization in building high-performance OLTP and OLAP environments. Familiarity with relational databases, document databases, Google Big Query, Python, and Databricks or equivalent More ❯

Want to see us in action? Follow us on We're looking for a talented Senior Analyst to join our high-performing credit strategy analytics team at Zopa, where you will have the opportunity to drive significant improvements in customer and credit outcomes across Collections and Recoveries. By leveraging hypothesis More ❯

the whole picture for our clients, around the clock - from around the world. In Data, we're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems More ❯

using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and More ❯

will work directly with our business stakeholders to understand their processes, gather and document requirements, and identify solutions to address their needs. Using data analytics technologies and best practices, you will play a key part in translating business requirements into functional specifications and collaborating with technical teams to build scalable More ❯

using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and More ❯