1 to 25 of 5,016 Analytics Jobs

Data Engineer - Senior Consultant/Manager - Dublin/Cork/Limerick/Galway General Information Location: Dublin, Cork, Limerick, or Galway. Available for VISA Sponsorship: No Business Area: Data & Analytics Contract Type: Full Time - Permanent EY is the only major professional services firm with an integrated Financial Services practice across Europe, the Middle East, India, and Africa (EMEIA). We … with technical data expertise within Financial Services: Banking, Insurance and Wealth and Asset Management. We are seeking an experienced Data Engineer with a strong background in supporting business and analytics teams in Financial Services industry by designing, developing, and operating robust data pipelines. The ideal candidate will have experience in working with Azure Cloud and proficiency in using Microsoft Azure … and Vertex AI (optional). Experience in one or more of the following Data Platforms: Microsoft: Experience with Azure Data Factory for orchestrating data workflows. Proficiency in Azure Synapse Analytics and SQL Server. Familiarity with Azure Data Lake Storage (Gen2) and Azure Blob Storage. Knowledge of Power BI integration and data modelling Understanding of Azure Functions and Logic Apps for More ❯

This is a unique opportunity for a motivated Consultant/Senior Consultant to join the fast-growing Data Analytics practice of Teneo, the global CEO advisory firm. Our team provides data analytics and modelling services across the full breadth of Teneo's service offering; helping FTSE 100 and Fortune 500 firms, key public-sector organisations, and leading private equity houses … solve some of their most complex and challenging business problems. The successful candidate will be a driven data analytics professional who is seeking to join an exciting new team which offers unparalleled opportunities for personal growth and promotion. They should exhibit an entrepreneurial spirit with a genuine desire to provide quality, independent advice and insight to Teneo's blue chip … client base. Key Responsibilities As a Data Analytics Consultant/Senior Consultant, you will have the opportunity to: Solve complex client problems using a variety of data analytics technologies and techniques including but not limited to: data processing and engineering, statistical analysis, data visualisation, machine learning, simulation and optimisation techniques Develop solid and insightful analytics products using data engineering and More ❯

telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring that data is effectively utilized to drive strategic decision-making across the organisation. The ideal candidate will possess strong leadership skills, a deep understanding of … frameworks, policies, and standards to ensure data quality, security, and compliance with regulations. Develop and maintain an Enterprise Data Dictionary. Ensure adherence to the aforementioned frameworks, policies and standards. Analytics Leadership : Lead a team of data analysts and engineers to develop platform blueprints and data models for advanced analytics solutions that provide actionable insights and drive business performance. Collaboration : Work … data management practices, including enterprise level data architecture, data integration, data warehousing, and data lifecycle management. Innovation : Stay abreast of industry trends and emerging technologies related to data and analytics, and drive innovation within the organisation making use of approaches such as proof of concept to demonstrate value. Stakeholder Engagement : Communicate data strategy and insights to senior leadership and stakeholders More ❯

telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring that data is effectively utilized to drive strategic decision-making across the organisation. The ideal candidate will possess strong leadership skills, a deep understanding of … frameworks, policies, and standards to ensure data quality, security, and compliance with regulations. Develop and maintain an Enterprise Data Dictionary. Ensure adherence to the aforementioned frameworks, policies and standards. Analytics Leadership : Lead a team of data analysts and engineers to develop platform blueprints and data models for advanced analytics solutions that provide actionable insights and drive business performance. Collaboration : Work … data management practices, including enterprise level data architecture, data integration, data warehousing, and data lifecycle management. Innovation : Stay abreast of industry trends and emerging technologies related to data and analytics, and drive innovation within the organisation making use of approaches such as proof of concept to demonstrate value. Stakeholder Engagement : Communicate data strategy and insights to senior leadership and stakeholders More ❯

identify trends and opportunities in areas such as targeting, cross-selling, pitching, client reviews, events, practice development, planning, and strategy across client bases, geographies, industries, and practice areas. Create analytics-driven solutions that address business problems by understanding the characteristics of data sets, identifying patterns, and training end users on completed solutions to drive adoption. Analyze large and complex data … of key clients, their businesses, and the firm's lawyer-client relationships, as well as legal industry issues and developments that impact the success of the firm and inform analytics and insights. Conduct research using information from the firm's billing and CRM systems, as well as external sources, as needed to support analytic efforts. Work with stakeholders across functional … to inform storytelling strategies. Work closely with internal teams-including Innovation, Knowledge Management, Finance, Strategy, Client Value, Marketing, Alumni, HR, IT, Operations, Accounting, and Business Managers-to address data analytics needs. Assist in upholding standards, guidelines, and best practices for those involved in reporting, and influence analytics efforts across the firm. Assist in documenting and maintaining a glossary of metric More ❯

and implement data quality rules, scorecards, and dashboards using IDQ to ensure accuracy, consistency, and reliability of data. Collaborate with business stakeholders to define requirements and deliver high-impact analytics solutions. Create dashboards, reports, and visualizations to communicate findings to technical and non-technical audiences. Ensure data quality, integrity, and consistency across multiple sources and platforms. Support data governance initiatives More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week)Department: ITType: 3 months rolling contractOutside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making. Key Responsibilities Design and build data products, with … BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week) Department: IT Type: 3 months rolling contract Outside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making. Key Responsibilities Design and build data … BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability More ❯

Role Director of Data & Analytics at The Director of Data and Analytics will lead the data and analytics function within Customer Service (CS) while contributing to the broader analytics craft across the organisation. This role is responsible for laying the foundational data capabilities that power AI agents to handle customer service queries securely, efficiently, and at scale. It requires leadership … languages. Key Responsibilities Operational Reporting and Analysis: transform reporting and dashboards to deliver faster, clearer, and more actionable insights; design real-time dashboards tracking CS KPIs; apply advanced analytics to diagnose metric fluctuations; provide executive-level updates with actionable insights. Voice of Customer (VoC) & Business Insights: design and implement VoC programs to capture feedback across channels; present insights to cross … AI insights into CS strategies; measure performance and impact of AI-powered solutions. Team Leadership & Craft Development: lead and develop a high-performing data team; shape a long-term analytics strategy; attract and retain top talent; establish best-in-class analytics, modeling, and reporting practices. Cross-Functional Collaboration & Stakeholder Engagement: communicate complex data insights simply; influence stakeholders from Leadership Team More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

to continuously strengthen defences. Engage with external partners, technology vendors, and industry peers to explore new detection techniques and system capabilities. Skills Strong background in Financial Crime or Fraud Analytics within a banking or financial services environment. Advanced SQL skills with proven ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle … problem-solving skills, with high accuracy in data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in Financial Crime, Fraud, or Cybercrime is More ❯

of experience: 5+ years Role Overview We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data … and analytics platforms. You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements. Key Responsibilities • Define and … document business and data requirements for analytics and reporting solutions. • Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency. • Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms. • Collaborate with engineering teams to validate data pipelines and transformations. • Design and execute test plans for data products, including More ❯

of experience: 5+ years Role Overview We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data … and analytics platforms. You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements. Key Responsibilities • Define and … document business and data requirements for analytics and reporting solutions. • Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency. • Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms. • Collaborate with engineering teams to validate data pipelines and transformations. • Design and execute test plans for data products, including More ❯

About The Role Team – Intermediated Sales Analytics Working Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 35 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Cross-Functional Data Operations & Stakeholder Management Advanced Analytics & Insight Generation Technical People Leadership & Capability Growth What this role is all about … We’re looking for a proactive and collaborative Team Lead to join our Intermediated Sales Analytics function, supporting across our Intermediates sales teams. This role acts as a key business partner embedded within the sales teams, leading the delivery of data and insight that drives performance and informs strategic decision-making.You’ll manage a team of analysts and senior analysts … key point of contact for stakeholders across Intermediated teams and related functions (e.g., Marketing, QA & Compliance, Finance, CRM & Data Science), supporting cross-functional projects and helping to represent the analytics perspective Lead the delivery of the Intermediated Analytics roadmap by coordinating team efforts, contributing to planning discussions, and ensuring work is aligned with business needs and timelines Insight Generation & Analytical More ❯

Head of Analytics and Insights Hybrid ( Manchester) Permanent About CAVU For airports, for partners, for people. We are CAVU. At CAVU our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody — from the smallest ideas to the biggest changes. Every day here is about creating better travel experiences. From our revenue-accelerating … to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role? As Head of Analytics and Insights, you'll play a pivotal role within CAVU's centralised Data function — sitting on the senior leadership team and guiding three specialist analytics areas: Marketing Analytics, Digital Analytics … and Commercial Analytics. You'll lead the development of a unified analytics and insights strategy, using data to drive decision-making, optimise performance, and unlock new growth opportunities across the business. CAVU has been on an exciting digital and data transformation journey, with the acquisition of new brands and the creation of best-in-class products. Data has been fundamental More ❯

to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role? As Head of Analytics and Insights, you'll play a pivotal role within CAVU's centralised Data function - sitting on the senior leadership team and guiding three specialist analytics areas: Marketing Analytics, Digital Analytics … and Commercial Analytics. You'll lead the development of a unified analytics and insights strategy, using data to drive decision-making, optimise performance, and unlock new growth opportunities across the business. CAVU has been on an exciting digital and data transformation journey, with the acquisition of new brands and the creation of best-in-class products. Data has been fundamental … to this - and now, we're looking for a forward-thinking leader to continue that momentum, shaping the future of our analytics capability and influencing strategic decisions at a global scale. Key accountabilities include: Developing and executing a unified analytics and insights strategy that aligns with CAVU's marketing, digital, and commercial goals. Providing thought leadership in using data to More ❯

technical data responsibilities and people management, bringing a detailed understanding of how to lead and develop teams, uphold technical excellence, and meet client expectations. Translate business problems into clear analytics solutions. Ensure analytics initiatives deliver measurable business outcomes, tracking KPIs and demonstrating ROI to clients. Take ownership of team delivery quality, change management, and operational ways of working. Serve as … a sounding board for client leadership on data and analytics topics. Seek opportunities beyond the scope of current projects, demonstrating a strong entrepreneurial mindset. Partner with clients to define long-term data and analytics strategy, shaping future initiatives and driving innovation. Provide guidance and mentorship to team members while orchestrating the work of the broader team. Foster the team's … opportunities. Robust knowledge of statistical concepts and expertise across analytical tools: databases (SQL, BigQuery, noSQL), programming (R, Python, Spark), visualization (PowerBI, Tableau), and machine learning. Deep expertise in advanced analytics, data science, and traditional analytics, with a high-level understanding of data engineering and data strategy. Strong understanding of at least one cloud stack (Azure, AWS, GCP). Proven ability More ❯

visualisations using Power BI/Tableau to communicate findings as a basis for drafting informed and objective opinions on the adequacy and effectives of controls under review Use data analytics to assess and identify key risk indicators, enabling auditors to focus on high-risk areas Innovate and drive continuous improvement in audit processes through the use of new technologies and … knowledge of audit industry practices, regulatory environment and industry developments Training Data Analyst Level 4. What you’ll gain: Technical depth: SQL/Python/Alteryx for data prep, analytics, automation; Power BI/Tableau for storytelling; data quality and controls Risk and audit mindset: How banks manage risk, controls testing, regulatory expectations, and internal audit standards Problem solving at … auditors and business leads, influencing actions Delivery habits: Agile ways of working, documentation, evidence standards, and meeting deadlines Where it can take you (example paths): Data Analyst → Senior Analyst → Analytics Lead (across audit, risk, finance, operations) Internal Audit Analyst → Auditor → Audit Manager (with a data specialisation) Risk/Compliance Analyst → Financial Crime/Operational Risk Data roles Data Engineering/ More ❯

technical data responsibilities and people management, bringing a detailed understanding of how to lead and develop teams, uphold technical excellence, and meet client expectations Translate business problems into clear analytics solutions Ensure analytics initiatives deliver measurable business outcomes, tracking KPIs and demonstrating ROI to clients Take ownership of team delivery quality, change management, and operational ways of working Serve as … a sounding board for client leadership on data and analytics topics Seek opportunities beyond the scope of current projects, demonstrating a strong entrepreneurial mindset Partner with clients to define long-term data and analytics strategy, shaping future initiatives and driving innovation Provide guidance and mentorship to team members while orchestrating the work of the broader team Foster the team's … opportunities Robust knowledge of statistical concepts and expertise across analytical tools: databases (SQL, BigQuery, noSQL), programming (R, Python, Spark), visualization (PowerBI, Tableau), and machine learning Deep expertise in advanced analytics, data science, and traditional analytics, with a high-level understanding of data engineering and data strategy Strong understanding of at least one cloud stack (Azure, AWS, GCP) Proven ability to More ❯

can deliver excellence every time to our customers. Key Responsibilities Solution Architecture: Design and architect end-to-end data and AI solutions leveraging Microsoft technologies such as Azure Synapse Analytics, Microsoft Fabric, and Azure OpenAI. Client Engagement: Act as a technical advisor to clients, providing insights and recommendations on data architecture and AI strategies. Technical Leadership: Lead the technical design … Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 3-7 years of experience as a data/solutions architect working Azure Synapse Analytics for data ingestion, ETL/ELT workloads, data integration, Machine Learning, and Generative AI solutions in real-world projects. Proven ability to manage multiple projects and meet deadlines, with a … client engagement, acting as a technical advisor, providing insights and recommendations on data architecture and AI strategies Must-Have Skills Extensive expertise in architecting solutions using Microsoft Azure Synapse Analytics and Power BI. Strong proficiency in Microsoft SQL Server, T-SQL scripting, and database design principles. Advanced knowledge of Azure Data Factory, SSIS, and Azure Data Storage solutions. Familiarity with More ❯

high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the … production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, Databricks ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions More ❯

a fast-paced, friendly environment. This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy. OBJECTIVES/PURPOSE The BioLife Forecasting, Pricing & Analytics (FPA) team within the Plasma-Derived Therapies (PDT) business unit at Takeda is seeking a Senior Manager of Pricing Strategy & Analytics. This role is critical for the FPA team, combining … center tests). - Translate business objectives into fee strategies that balance KPI performance. - Drive adoption of advanced pricing methodologies (hierarchical models, A/B testing, time-series forecasting). • Analytics & Forecasting - Manage end-to-end pricing analytics, including business metrics. - Partner with data science teams to refine models (Supervised Learning, Time Series, Neural Network, etc.). • Cross-functional Leadership - Collaborate … narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred 9+ years in analytics, data science, pricing, strategy, consulting, and/or forecasting with demonstrated impact. Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Preferred Extensive More ❯

in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships … and transactions. EY teams ask better questions to find new answers for the complex issues facing our world today. The Team and the opportunity As part of our Data Analytics and AI team, the Data Scientist & AI role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds … innovative data analytics solutions into existing business areas, transforming data into strategic assets. We are looking for a Data Scientist who is passionate about leveraging data to solve complex problems and drive business outcomes. You will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements. More ❯

a fast-paced, friendly environment. This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy. OBJECTIVES/PURPOSE The BioLife Forecasting, Pricing & Analytics (FPA) team within the Plasma-Derived Therapies (PDT) business unit at Takeda is seeking a Senior Manager of Pricing Strategy & Analytics. This role is critical for the FPA team, combining … center tests). - Translate business objectives into fee strategies that balance KPI performance. - Drive adoption of advanced pricing methodologies (hierarchical models, A/B testing, time-series forecasting). • Analytics & Forecasting - Manage end-to-end pricing analytics, including business metrics. - Partner with data science teams to refine models (Supervised Learning, Time Series, Neural Network, etc.). • Cross-functional Leadership - Collaborate … narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred 9+ years in analytics, data science, pricing, strategy, consulting, and/or forecasting with demonstrated impact. Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Preferred Extensive More ❯