1 to 25 of 2,858 Analytics Jobs

Job Description: The Oracle Fusion Analytics Functional Lead is responsible for leading the design, implementation, and optimization of analytics solutions using Oracle Fusion Analytics Warehouse (FAW), Oracle Analytics Cloud (OAC), and Oracle Cloud ERP/HCM/SCM data models. This role works closely with business stakeholders to translate strategic objectives into actionable insights, ensuring alignment between enterprise data needs … and Oracle Fusion Analytics capabilities. The Functional Lead provides thought leadership, oversees end-to-end analytics delivery, and ensures that enterprise reporting and analytics solutions drive measurable business value. Key Responsibilities Solution Leadership & Architecture Lead strategy, design, and implementation of Oracle Fusion Analytics Warehouse (FAW) solutions across Finance, HCM, SCM, or cross-functional pillars. Architect end-to-end analytics solutions … including data models, KPIs, dashboards, security, and integrations. Ensure alignment between Fusion Analytics data models and Oracle Cloud ERP/HCM/SCM processes. Drive adoption of enterprise analytics standards, best practices, and governance. Functional Analysis & Delivery Conduct requirement workshops to define business reporting and analytics needs. Translate functional requirements into FAW/OAC solution designs and functional specifications. Oversee More ❯

Overview This is a unique opportunity to join the Data & Analytics Division of The London Stock Exchange Group as the Transformation Portfolio Director for Analytics. The role reports directly to the Head of D&A Transformation within the Chief Operating Office and serves the D&A Analytics business. Analytics provides market-leading cross-asset analytics models, software and Generative AI … areas of the Group and plays a central role in LSEG's flagship and industry-leading partnership with Microsoft. The successful candidate will partner with the Group Head of Analytics and the CIO Analytics to define and deliver the investment portfolio for Analytics with an annual investment budget of £30m+. He/she will play a central role in investment … and timely delivery of programme outcomes within the Group's Change Framework. The role will directly manage a team of around 5 FTE. Responsibilities Partner with Group Head of Analytics and Analytics CIO to translate the Analytics product strategy into an associated Transformation roadmap, programme and architecture blueprint Lead the investment planning process for Analytics, developing and maintaining initiative business More ❯

offshore teams, managing reporting requirements, and delivering a comprehensive reporting strategy across HCM, Payroll, ERP, and SCM modules. Leverage cutting-edge reporting tools such as OTBI, BI Publisher, HCM Analytics, SCM Analytics, ERP Analytics, and Fusion Data Intelligence to drive process standardization, data integrity, and informed decision-making. Key Responsibilities: Lead and manage a reporting team of both onshore and … provide guidance, set priorities, and ensure timely delivery of objectives. Facilitate the mapping and gap analysis of current reporting catalogues to Oracle Fusion reporting capabilities; design solutions using Oracle analytics and reporting tools. Plan and lead customer workshops to gather requirements, align expectations, and provide guidance on Oracle Fusion reporting; act as the main point of contact for reporting escalations. … Develop and implement a reporting strategy leveraging Oracle native tools (OTBI, BI Publisher, Analytics Cloud) for real-time and historical reporting needs. Collaborate with functional and technical leads to ensure seamless integration of reporting requirements into the overall implementation plan. Maintain stakeholder relationships , providing regular updates and managing expectations for the reporting workstream. Establish governance processes and best practices for More ❯

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the worlds leading job-tech platform. Job Description The role of Product Analytics Manager in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your teams projects will cover a broad range of topics … insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we take data-driven product decisions at every … their potential and progress on their chosen career paths. What your day will look like: Orchestrate the scope, prioritization, and distribution of resources in your team across the many analytics projects. Manage the delivery process and set expectations with stakeholders for transparent and aligned project outcomes and timelines. Champion our 'always testing' culture, designing and developing experiments. Lead and drive More ❯

make a real impact, this is the job for you. Your Key Responsibilities As an SAP Reporting Lead - Senior Manager, you will Lead the design and implementation of SAP analytics solutions, ensuring alignment with business requirements and best practices. Manage SAP Embedded Analytics projects, including the development of Core Data Services (CDS) and Fiori applications, ensuring adherence to S/… 4HANA business processes. Develop and optimize data models in SAP HANA Cloud and SAP BW4HANA to support reporting and analytics needs. Utilize SAP Datasphere to integrate and manage data from various sources, ensuring data quality and accessibility. Create and maintain dashboards and reports in SAP Analytics Cloud and Power BI, providing actionable insights to stakeholders. Collaborate with cross-functional teams … to gather requirements and translate them into technical specifications. Provide expertise in SAP analytics technologies, staying updated with the latest trends and advancements. Conduct training sessions and workshops for end-users to enhance their understanding of analytics tools and capabilities. Troubleshoot and resolve issues related to analytics solutions, ensuring minimal disruption to business operations. Mentor junior team members and contribute More ❯

compliance. Full-Stack Engineering: Hands-on experience with Java (Spring Boot), React, and Python, covering backend, frontend, and data engineering. Data Engineering Tools: Proficient with modern data engineering and analytics platforms (e.g., Apache Airflow, Spark, Kafka, dbt, Snowflake, or similar). DevOps & Cloud: Experience with containerisation (Docker, Kubernetes), CI/CD pipelines, and cloud platforms (e.g., AWS, Azure, GCP) is 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 ❯

and roadmaps that guide the integration of AI and data solutions across the organization. • Lead the development and implementation of data platforms and AI-driven systems that facilitate advanced analytics, machine learning, and automation. • Define AI strategy and guide its implementation across business units, ensuring alignment with business objectives. • Oversee the deployment and integration of AI models, tools, and technologies More ❯

Role Description Director of Data and Analytics About Established in 1996 in Amsterdam, has grown from a small Dutch start-up to one of the largest ecommerce companies in the world. is the largest business within Booking Holdings (NASDAQ: BKNG) and accounts for the vast majority of Booking Holdings' total revenue. Booking Holdings is a leading Fortune 500 e-commerce … diverse perspectives of others. Do the right thing. We get the right results the right way. For each other, our communities and the world around us. Director of Data & Analytics 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. The Director of … Data and Analytics will be responsible for laying the foundational data capabilities that will power millions of AI agents to handle customer service queries securely, efficiently, and at scale. This is a pivotal role in shaping how Customer Service (CS) evolves through AI-led automation, requiring robust data pipelines, high-quality structured inputs, and deep insight generation. In addition to More ❯

in Microsoft Excel and Power BI. Proficiency in SQL and experience with relational database management systems (e.g., PostgreSQL, MySQL, Microsoft SQL Server, Oracle, SQLite). Awareness of cloud data analytics platforms (e.g. Microsoft Fabric, Google Cloud Platform, Databricks etc.) Experience with at least one programming language such as Python, Java, or Scala. Familiarity with ETL frameworks and tools Expertise in More ❯

and comprehensive documentation for BI and data transformation processes Desirable Advanced use of MS Excel (macro level) Use of R and/or Python for machine learning and predictive analytics Understanding of the Acute Healthcare business environment, particularly relating to income generation and financial planning across the organisation as a whole. Communication Essential Ability to communicate effectively with staff at More ❯

AND RESPONSIBILITIES Data Extraction & Management Extract, transform, and analyse data from clinical systems, commissioning datasets, and internal service databases. Ensure data integrity, accuracy, and compliance with information governance standards. Analytics & Insight Provide meaningful analysis to support service delivery, contract performance monitoring, and business planning. Identify trends, risks, and opportunities within population health, service utilisation, and workforce data. Translate complex datasets More ❯

shapes strategy. Qualifications What we’d love you to bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such More ❯

BI Developer or Data Scientist Strong data modelling background with experience working with multiple data sources both cloud and on-premise Industry experience in delivering Power BI/Microsoft Analytics solutions, with a good grounding in all associated areas including; development , Enterprise Architecture, Governance, Rollout and Adoption Knowledge or experience ofData Factory, Data Lake, Azure SQL database, Azure SQL Data More ❯

oversight for developing and managing a common and bespoke suite of performant, modern, secure, data and analytical tools, services, platforms and applications, ensuring access to high quality data and analytics services, internally and externally. Based within the Digital and Data Directorate, the Data Product Development Division are responsible for the development and delivery of new and existing dashboards and platforms More ❯

Weekly - Slough, Berkshire. Permanent. T6/MN/1282840. Must be Eligible to Work in the UK. An FMCG leader is seeking to secure an IT Business Partner - Data & Analytics - to partner with business teams to drive digital enablement through better use of Systems, Data & Analytics, AI (Copilot) tools. Will consider an experienced IT Business Analyst looking to transition to … an IT Business Partner role. Role: IT Business Partner - bridge the gap between IT/Technology & Business Functions - focus on core functions - Sales, Marketing & Finance. Drive Digital Enablement - Data & Analytics, AI (Copilot) tools - Drive adoption & enhancement. Power BI - drive & support adoption - across Sales, Marketing & Finance. AI - Align to the Global AI Roadmap - Copilot - AI platform - drive adoption. Partner with Global … IT Team - support with the local rollout of - Data & Analytics, AI (Copilot) Enterprise Projects. Automation - Identify & deliver Automation opportunities. Translate business needs & requirements into - Data & Analytics, AI initiatives. Business Case development/definition & KPI definition. Track Value KPIs - application adoption, uptake, benefits, efficiency etc. Support the rationalisation & simplification of the local Portfolio for - Data & Analytics, AI. Enable User Adoption - utilise More ❯

in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. More ❯

Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data architecture across Azure Data Lake and More ❯

Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data architecture across Azure Data Lake and 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 ❯

successful completion while upholding the highest standards of excellence. Lead and cultivate strong client partnerships, guiding the integration of state-of-the-art AI/ML, automation, and data analytics solutions tailored to the unique needs of the federal sector. While prior expertise in AI and ML is highly valued, an eagerness to continually expand knowledge and expertise in these More ❯

highly analytical and detail-oriented professional with proven experience in using Microsoft Power BI to deliver impactful data reporting and visualisation solutions. You will hold relevant BI or data analytics certifications and have advanced skills in SQL and data modelling. Your experience will include data cleansing, DAX calculations, and building intuitive, insightful visualisations that support strategic decision-making. You will More ❯

full: Role purpose Reporting to the Lead Data Engineer, the Data Engineer is responsible for designing and maintaining scalable data pipelines, ensuring data availability, quality, and performance to support analytics and operational decision-making. They contribute to the data engineering roadmap through research, technical vision, business alignment, and prioritisation. This role is also expected to be a subject matter expert More ❯

skills using Microsoft SQL. Excellent team, verbal and written communication skills Experienced SQL Server/MS-SQL scripting and Databricks expertise. Experience with Data mining, Data Science, and Predictive analytics is a plus. Ability to build complex queries and reports using Microsoft SQL JOB DESCRIPTION The Advisor Cloud Engineer will support the business intelligence and data science migration and build 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 ❯