201 to 225 of 4,718 Analytics Jobs

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth, backed … by over 50 years' experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers' decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most. Wood Mackenzie Values Inclusive - we succeed together Trusting - we choose More ❯

richest transaction datasets, revolutionising financial insights and market intelligence for LBG and our customers. It's a critical role to us, as you'll drive the evolution of data analytics solutions and AI capabilities, by developing and delivering solutions that are aligned with our group technical strategy and help achieve our lab's goals and priorities. What you'll do … to make our Group a great place for everyone. Including you What you'll need An experienced Software/Data Engineer with a recent focus on developing data and analytics solutions on cloud platform (e.g. GCP/AWS/Azure). Technical know-how in data engineering techniques which cover both batch processing and/or streaming Agile Delivery: Significant More ❯

ensuring strategy translates into effective day-to-day delivery across all teams, regions, and products Ensure end-to-end execution of fraud prevention and chargeback processes Use advanced data analytics to anticipate, communicate and mitigate operational fraud risks Drive adoption of fraud initiatives across cross-functional teams, securing buy-in and accountability companywide. Define and execute long-term operational roadmaps … other regulatory obligations while fostering shared accountability for fraud risk across the business What we're looking for Degree in Finance, Economics, Law, Risk Management, Computer Science, Data/Analytics (or a related field with equivalent experience) Professional certifications in fraud and financial crime (ICA, ACAMS, CFE strongly preferred) Extensive senior leadership experience in fraud/KYC/chargeback operations More ❯

also possess hands-on experience throughout the entire ML modeling lifecycle, from initial concept to production deployment. You will collaborate with cross-functional teams in product management, UX, data analytics, and engineering across various product contexts. This role involves managing the delivery and maintenance of highly impactful, innovative AI/ML solutions at scale. To effectively fulfil this role, you … Manage the delivery of multiple Applied AI projects and balance delivery with Applied AI best practices and standardization Collaborate closely with cross-functional teams including product management, UX, data analytics, engineering, across multiple product contexts You are able to engage effectively with both technical and non-technical stakeholders, translating product/business requirements into Applied AI deliverables, and occasionally contribute More ❯

Data Engineer - Azure Databricks , Apache Kafka Permanent Basingstoke (Hybrid - x2 PW) Circa £70,000 + Excellent Package Overview We're looking for a skilled Data Analytics Engineer to help drive the evolution of our clients data platform. This role is ideal for someone who thrives on building scalable data solutions and is confident working with modern tools such as Azure More ❯

company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who More ❯

or global organisation. Strong expertise in the Azure data ecosystem, including: Azure Data Lake/Data Lakehouse Azure Data Factory/Synapse Pipelines Databricks Azure SQL Database or Synapse Analytics Solid understanding of data warehousing principles, ETL/ELT design, and data modelling Experience with CI/CD Familiarity with data quality frameworks and data governance. Strong SQL and Python More ❯

Data Services function. Contribute to architectural decisions as part of the organisation's Technical Design Authority . About You 10-15 years' experience in Data Engineering , Business Intelligence , or Analytics roles. 2+ years in a lead or management position. Financial services experience is essential , ideally covering lending, servicing, or securitisation data. Deep technical expertise in Microsoft and Azure data technologies. More ❯

of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse. Manage the end-to-end data development life cycle within Agile delivery teams. Integrate More ❯

of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse. Manage the end-to-end data development life cycle within Agile delivery teams. Integrate More ❯

of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse. Manage the end-to-end data development life cycle within Agile delivery teams. Integrate More ❯

and implement scalable, secure, and high-performing customer data architectures. You will work with cross-functional teams to define data strategies, architect solutions, and enable data readiness for AI, analytics, and customer engagement platforms. This role sits within Accenture’s Data & AI practice, delivering end-to-end solutions from data strategy to core engineering. Key Responsibilities Architect modern customer data More ❯

daily operations, managing client expectations, and driving high quality deliverables. In the role of a Reporting Architect, you will lead the design and delivery of enterprise grade reporting and analytics solutions that drive data driven decision making across the organization. You will be responsible for architecting scalable reporting frameworks, integrating data from diverse sources, and ensuring high performance, usability, and More ❯

Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power Query (Essential) Knowledge of data governance and quality principles (Essential) Advanced analytical and problem-solving skills (Essential) Demonstrated ability More ❯

Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power Query (Essential) Knowledge of data governance and quality principles (Essential) Advanced analytical and problem-solving skills (Essential) Demonstrated ability More ❯

Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power Query (Essential) Knowledge of data governance and quality principles (Essential) Advanced analytical and problem-solving skills (Essential) Demonstrated ability More ❯

Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power Query (Essential) Knowledge of data governance and quality principles (Essential) Advanced analytical and problem-solving skills (Essential) Demonstrated ability More ❯

Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power Query (Essential) Knowledge of data governance and quality principles (Essential) Advanced analytical and problem-solving skills (Essential) Demonstrated ability More ❯

a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced More ❯

projects Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge More ❯

understand, analyze, and improve. Additional Skills Experience with Python for data automation and manipulation. Familiarity with Azure Data Factory and ETL methodology for orchestrating data workflows. Knowledge of Synapse Analytics for advanced data processing. Experience with Power BI for visualizing and reporting data insights. FatFace Benefits: Financial & Protection Benefits Sick pay allowances Critical Illness Income protection/Death in service More ❯

understand, analyze, and improve. Additional Skills Experience with Python for data automation and manipulation. Familiarity with Azure Data Factory and ETL methodology for orchestrating data workflows. Knowledge of Synapse Analytics for advanced data processing. Experience with Power BI for visualizing and reporting data insights. FatFace Benefits: Financial & Protection Benefits Sick pay allowances Critical Illness Income protection/Death in service More ❯

applied machine learning and delivering real improvements to our clients in smart, effective ways. The successful candidate will be eager to deepen their skills and broaden into wider Azure analytics capabilities, building a long career here at BCN Group within a growing and exciting innovation technology team. Our people have three things in common: a curiosity for learning, a drive More ❯

to serve top tier clients from a variety of industry domains like Banking/Insurance, Luxury and Tech. About the role Key responsibilities Collaborate with technical teams to establish Analytics engineers best practices Helping the client migrate from tableau to omni Work with our clients’ teams to address their business challenges, define successful analytics outcomes and develop data models to … address them. Collaborate with data engineers, analytics engineers, and other analytics team members to define the scope and requirements of analytical projects. Stay up to date with the latest technologies and tools in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering … Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems. Strong communication and collaboration skills, with the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt More ❯

to serve top tier clients from a variety of industry domains like Banking/Insurance, Luxury and Tech. About the role Key responsibilities Collaborate with technical teams to establish Analytics engineers best practices Helping the client migrate from tableau to omni Work with our clients’ teams to address their business challenges, define successful analytics outcomes and develop data models to … address them. Collaborate with data engineers, analytics engineers, and other analytics team members to define the scope and requirements of analytical projects. Stay up to date with the latest technologies and tools in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering … Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems. Strong communication and collaboration skills, with the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt More ❯