26 to 50 of 19,476 Analytics Jobs

the development of core analytical products that enhance the capabilities of data professionals throughout our university. You’ll work closely with our Operational Research team in providing them with analytics and data science capabilities that enhance their organisational interventions. You’ll use your business acumen to understand our business goals and align data initiatives with our goals to drive change More ❯

Job Description Job Title: Data Architect Location: London - 3 days travel to office SC Cleared: Required Job Type: Full-Time Experience: 10+ years Job Summary : We are seeking a highly experienced and visionary Data Architect to lead the design and More ❯

The Moody’s Data & Analytics team is responsible for managing a single source of data across financial and commercial domains to facilitate analysis and strategic insight. In Addition to the provision of sanctioned data, D&A also directly meets the analytical needs of users through the provision of dashboards, analytical consulting and genAI optimized data models. As part of the … and implement a data strategy that supports organizational goals, ensuring data governance and quality standards are met. Team Leadership: Foster a collaborative and high-performance culture within your team. Analytics and Insights: Understand new analytical needs, generate actionable insights, and present findings compellingly. Continuous Improvement: Stay informed of industry trends and continuously seek opportunities to improve processes, tools, and methodologies. … in Data Science, Computer Science, Statistics, Business Administration, or a related field. A Master's degree or relevant certification is preferred. Experience: Minimum of 7 years in data and analytics or a related discipline, with proven experience in product and stakeholder management. Technical Skills: Proficiency in data analytics tools (Power BI, Databricks, Tableau, Python, R, Fabric, Excel), and strong understanding More ❯

design and implement high-impact programs that create value through revenue growth, cost optimisation, and operational excellence. About the Role We are seeking an experienced Management Consultant with strong Analytics and Power BI expertise to join us immediately. This role requires a candidate with deep experience in data analysis, business intelligence, and dashboard development to support consulting engagements. You will … a structured and impactful manner. Collaborate with internal and client teams to ensure seamless execution of project milestones. Qualifications 5+ years of experience in management consulting or a strategic analytics role. Required Skills Proficiency in data analytics, financial modelling, and business intelligence tools. Strong expertise in Power BI, including DAX, data modelling, and dashboard development. Ability to synthesize complex data … Consulting Industries Professional Services, IT Services and IT Consulting, and Business Consulting and Services Referrals increase your chances of interviewing at Dune Advisors by 2x Get notified about new Analytics Consultant jobs in London Area, United Kingdom . London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 1 day ago More ❯

Join to apply for the Data Architect (Data & Analytics) role at GE Vernova . Get AI-powered advice on this job and more exclusive features. Job Description Summary GE Vernova is the leading software provider for the operations of national and regional electricity grids worldwide. Our software solutions support electricity markets, enable grid and network planning, and facilitate real-time … are central to our ongoing digital transformation, shaping the future of grid operation, clean energy initiatives, and AI-driven customer experiences. Job Description As a Data Architect (Data and Analytics) specializing in electric utilities, you will define and implement solutions leveraging the GridOS Data Fabric, the grid data management layer of GE Vernova’s GridOS Platform. You will collaborate with … Key Responsibilities Solution Design and Architecture: Work with utility clients (OT and IT) to understand data requirements, align data architecture with business goals, and design end-to-end data analytics solutions that ensure data integration and management across sources and systems. Data Analytics: Extract meaningful patterns and trends from data to support decision-making and optimize operations. Data Integration: Architect More ❯

Join to apply for the Senior Data & Analytics Engineer role at BRP 1 week ago Be among the first 25 applicants Join to apply for the Senior Data & Analytics Engineer role at BRP As a Senior Data & Analytics Engineer, you will play a key role in building and optimizing our marketing data pipelines and solutions. You will collaborate with passionate … grow your skills while making a meaningful impact on the business. You'll Have The Opportunity To Design, implement, and maintain robust, scalable ELT data pipelines to support marketing analytics, ensuring efficient integration with CI/CD processes. Develop automated testing and deployment workflows while maintaining strong version control practices using Azure Repos Work closely with marketing teams to understand … and support analytical workloads Ensure data quality, consistency, and reliability across all marketing datasets Collaborate with analysts and data scientists to deliver clean, usable data for reporting and advanced analytics Help establish best practices and contribute to a positive, inclusive, learning-focused team culture Document technical processes clearly to ensure easy future maintenance Stay up to date with new tools More ❯

GBM - Public - Data Modeling & Analytics - Associate – London Join to apply for the GBM - Public - Data Modeling & Analytics - Associate – London role at Goldman Sachs Continue with Google Continue with Google GBM - Public - Data Modeling & Analytics - Associate – London Join to apply for the GBM - Public - Data Modeling & Analytics - Associate – London role at Goldman Sachs OPERATIONS Operations is a dynamic, multi-faceted division … reputation. For every new product launched and every trade executed, it is Operations that develops and manages the processes and controls that enable business flow. OUR IMPACT Data Modeling & Analytics leads BI (Business Intelligence) initiatives in close partnership with multiple Business Units within the Prime Services Organization to deploy high quality data models, analytics and reporting to meet business objectives … firm and our clients by securely delivering data to stakeholders Partner with engineering teams to develop scalable business processes and data pipelines to support our clients Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. Basic Qualifications Minimum of More ❯

processes, provide easier access to quality business data and will invest in the right technology to enable these processes. Why is this exciting for your career as the Data & Analytics Service Delivery Manager? The MBE Programme presents a huge opportunity for colleagues across the technology function to play a central role in the design, shape, delivery and execution of an … and team ship building as Greencore, build, mature, strengthen and bolster their Technology department. What you'll be doing: You will provide the efficient, effective delivery of data and analytics services across the organisation, by ensuring our data platforms, analytics solutions & associated services meet business requirements and service level agreements (SLAs). To drive the adoption of data-driven insights … ensuring high-quality, reliable & timely analytics are delivered to the business. The primary point of contact for data service-related incidents, service performance & continued improvements to data services. Oversee the operation of data and analytics platforms, ensuring services meet the defined SLAs, coordinating with cross 1 functional teams (data engineers, data scientists, business analysts and IT operations) to deliver solutions More ❯

processes, provide easier access to quality business data and will invest in the right technology to enable these processes. Why is this exciting for your career as the Data & Analytics Service Delivery Manager? The MBE Programme presents a huge opportunity for colleagues across the technology function to play a central role in the design, shape, delivery and execution of an … and team ship building as Greencore, build, mature, strengthen and bolster their Technology department. What you'll be doing: You will provide the efficient, effective delivery of data and analytics services across the organisation, by ensuring our data platforms, analytics solutions & associated services meet business requirements and service level agreements (SLAs). To drive the adoption of data-driven insights … ensuring high-quality, reliable & timely analytics are delivered to the business. The primary point of contact for data service-related incidents, service performance & continued improvements to data services. Oversee the operation of data and analytics platforms, ensuring services meet the defined SLAs, coordinating with cross [1]functional teams (data engineers, data scientists, business analysts and IT operations) to deliver solutions More ❯

edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term … and API frameworks. Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure … in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality data for decision-making. What More ❯

means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. Data Analytics (DA) Audit Managers are responsible for managing the delivery of data analytics testing on audit engagements, working with business and functional audit teams to devise effective and efficient strategies to … test key controls, driving insights that support the internal audit conclusions. DA Audit Managers will be responsible for the delivery of data analytics across multiple audit engagements. DA Audit Managers have a strong analytical background, and the ability to communicate findings effectively to stakeholders, strong project management skills, embed agile into their audit delivery, be structured in their approach to … driving a sense of urgency to complete tasks. Delivery and execution of all engagements must adhere to audit methodology and standards, meet deadlines. You will join a dynamic data analytics team driving the analytics adoption and innovation within the MUFG EMEA Internal Audit function, and contributing to the MUFG global IA analytics strategy rollout. 2) Roles, Scope and Reporting Structure More ❯

Head of Data & Analytics Architecture and AI page is loaded Head of Data & Analytics Architecture and AI Apply locations Chiswick Park time type Full time posted on Posted 30+ Days Ago job requisition id JR19765 Want to help us bring happiness to the world? Want to join an ambitious and fast growing global biscuits and confectionery business investing heavily in … offers global ambition, a clear Vision and roadmap for success, challenge, and unrivalled opportunities to learn and make an impact Click "Apply" to get started. The Head of Data & Analytics Architecture and AI mission has three facets. 1) To own the D&A Architecture ensuring alignment with business objectives and the technology transformation agenda for D&A to provide enabling … Digital services such as Data as a Service via APIs and Insights as a Service 2) To own and deliver the technology capability for Data, Analytics and AI (D&A). Working closely with the Squads on a daily basis, the Lead Engineer will help the squads deliver maximum outputs for each sprint ensuring each sprint delivers the longer term More ❯

clients to navigate complex challenges and realise strategic outcomes. Role Overview: We are seeking a highly skilled Data Analyst with deep expertise in Power BI to join our growing analytics team. The successful candidate will play a key role in designing and delivering insightful dashboards, automating reporting processes, and supporting the implementation of cutting-edge AI tools across the firm … with deal teams, portfolio managers, and operations to understand business needs and translate them into analytical requirements. Assist in the design and implementation of AI-powered tools for predictive analytics, risk assessment, and operational optimization. Extract, clean, and model data from various internal and external sources, including CRM systems, financial platforms, and portfolio company data feeds. Identify trends, anomalies, and … and analytical models. Qualifications: Bachelor’s degree in a quantitative field such as Data Science, Finance, Economics, Computer Science, or related discipline. 3+ years of experience in a data analytics role, ideally within private equity, investment management, or financial services. Expert-level proficiency in Power BI, including DAX, Power Query, data modeling, and visualization best practices. Strong SQL skills; familiarity More ❯

to-end delivery of Power BI solutions, from requirements gathering and data modelling to dashboard design and deployment, ensuring alignment with client objectives. Engage with enterprise customers to define analytics strategies, develop KPIs, and translate business needs into technical specifications, fostering strong stakeholder relationships. Design and optimize semantic data models using Power BI and Azure Analysis Services, applying best practices … Synapse, Data Lake, Databricks) and M365 platforms, with familiarity in Power Platform and Microsoft Fabric where applicable. Deliver hands-on workshops, coaching sessions, and enablement programs to enhance customer analytics capabilities and promote self-service BI. Provide thought leadership in visual analytics, staying current on industry trends, Power BI advancements, and Azure data technologies to deliver innovative solutions. Mentor junior … consulting practice. Lead technical workstreams, manage client engagements, and ensure successful project outcomes. What You'll Bring to the Role Experience : 5+ years of experience in business intelligence, data analytics, or data engineering, with hands-on expertise in Power BI in enterprise environments. 3+ years in client-facing consulting roles, delivering complex BI or data projects. Proven success in fostering More ❯

About us: Turning the fantasy of analytics, data and A.I. into reality... In a world where vast amounts of data are being created in a multitude of different ways, Lumilinks exist to help companies collate and use data in an automated and compliant way, creating live and actionable insights. We help businesses across the entire data journey, eliminating silos and … and NoSQL databases (e.g., MongoDB, Cassandra) for efficient data storage and retrieval. Data Warehousing : Experience with data warehousing solutions, such as Amazon Redshift, Google BigQuery, Snowflake, or Azure Synapse Analytics, including data modelling and ETL processes. ETL Processes: Proficient in designing and implementing ETL (Extract, Transform, Load) processes using tools like Apache NiFi, Talend, or custom scripts. Familiarity with ELT … that involve data engineering tasks, data analysis, or software development. Certifications: Relevant certifications can enhance credibility and demonstrate expertise, such as: Google Cloud Professional Data Engineer, AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure Data Engineer Associate, Cloudera Certified Professional (CCP) Data Engineer Projects Portfolio: A portfolio showcasing relevant work, such as projects completed during previous employment, internships, or personal More ❯

with Google Continue with Google Continue with Google Direct message the job poster from Talan - UK Talent & Engagement - Human Resources Team Talan UK is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan UK, innovation is at the … this role, you must have: Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project More ❯

s financial practices comply with statutory regulations and legislation. Data Management and Analysis: Extract, clean, and manage large datasets using SQL and Python for in-depth analysis. Utilize data analytics tools to track, analyse, and report on key fraud metrics and KPIs. Create dashboards and reports that communicate actionable insights to stakeholders. Collaborate with IT and Data teams to improve … the latest trends in fraud detection and payment technology. Participate in fraud prevention workshops, conferences, and training sessions to enhance skill sets. Requirements 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 ❯

#sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power More ❯

to write simple queries and create basic data structures. Demonstrated ability to write clean, efficient code in Python and SQL with knowledge on building and optimizing data pipelines or analytics solutions. Foundational understanding of data pipelines and ETL/ELT processes, including data ingestion and transformation concepts. Basic knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) with a … Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g. More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute the More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute the More ❯

and potentially for data source integration or automation where applicable. AI Application: Explore and apply AI/ML techniques to solve business problems, including but not limited to predictive analytics, natural language processing, or computer vision (depending on company focus). Stakeholder Communication: Present findings and recommendations to technical and non-technical audiences. Continuous Learning: Stay up-to-date with More ❯

disprove the hypotheses. Working Hours: Fully remote and full-time role. Flexible working hours with a minimum overlap with 8 AM – noon Central US time. Main Duties Utilize advanced analytics to solve complex problems and generate actionable insights that can be used to drive business decisions. Extract and analyze large volumes of data from various internal and external sources. Identify More ❯

strategy, and roadmap for our CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and completeness. This includes working with More ❯

strategy, and roadmap for our CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and completeness. This includes working with More ❯