601 to 625 of 1,873 Permanent Data Modelling Jobs

s Business Intelligence Unit (BIU) and has responsibility for activity planning, performance forecasting and demand and capacity modelling. The team provides the forward-looking part of the Trust's data function and works closely with clinical teams and other corporate functions within King's, as well as local and national commissioners to deliver this. We are currently looking for … a talented analyst to join the team to support the ongoing delivery of our existing portfolio and develop new modelling and analytical tools to help King's respond effectively to emerging challenges and the evolving NHS operational landscape. We are looking for an analyst with strong excel and SQL skills and experience of using Power BI. Experience working in … an analytical role and an understanding of how to process data, identify patterns in the data and use relevant contextual data to explain these patterns are the key skills required for the role. The team is looking to expand its use of more advanced statistical methods within the next iteration of planning, forecasting and modelling tools More ❯

of IT delivery frameworks and DevOps methodologies to enable smooth implementation of Continuous Integration and Continuous Deployment (CI/CD) pipelines, ensuring streamlined and efficient delivery. ✅ Perform System and Data Analysis Conduct in-depth system and data analysis to uncover inefficiencies, identify opportunities for improvement, and support informed decision-making. ✅ Manage Product Roadmap and Backlog Collaborate closely with … Proven experience contributing to the technical design and development of technology-driven solutions. Technical Writing and Documentation – Proficiency in working with technical architecture and delivering high-quality technical documentation. Data Analysis and Visualisation Skills – Strong analytical capabilities, including experience with data analysis, data modelling, and data visualisation tools such as SQL, Excel, Tableau, and Power … BI. Willingness to explore database schemas and perform data tasks such as cleaning, transformation, and aggregation. Desirable Skills and Experience While not essential, the following would be a plus: Sector Experience – Exposure to diverse sectors, including Public Sector, Utilities, Financial Services, Consumer Products, and Retail. Team and Operational Support – Experience contributing to internal team operations, such as recruitment, client More ❯

offices in central Liverpool, and are looking for an experienced MI Analyst to join their team. Salary - circa £45,000 (negotiable). Key skills: Power BI (M Query, DAX, Data Modelling, RLS), SQL query writing skills (SQL Server), Azure DevOps, Microsoft Excel The role will involve: Production and analysis of large quantities of data Producing reporting for … ensuring key trends are identified and articulated Engage in prototyping, designing, developing, publishing Power BI Reports Comfortable engaging with stakeholders at all levels, including Director level Develop Power BI Data models and recommend best practices for report creation and visualizations Implement security in reports and dashboards Integrate Dashboards into applications using Embedded Analytics. Collaborate with Business Analysts to gather More ❯

offices in central Liverpool, and are looking for an experienced MI Analyst to join their team. Salary - circa £45,000 (negotiable). Key skills: Power BI (M Query, DAX, Data Modelling, RLS), SQL query writing skills (SQL Server), Azure DevOps, Microsoft Excel The role will involve: Production and analysis of large quantities of data Producing reporting for … ensuring key trends are identified and articulated Engage in prototyping, designing, developing, publishing Power BI Reports Comfortable engaging with stakeholders at all levels, including Director level Develop Power BI Data models and recommend best practices for report creation and visualizations Implement security in reports and dashboards Integrate Dashboards into applications using Embedded Analytics. Collaborate with Business Analysts to gather More ❯

Operations arm of the Moorepay marketing team. The role-holder will work with core stakeholders across the wider Revenue Ops motion, including marketing and sales leadership, to develop scalable data products on the Moorepay Data Platform. Initially taking ownership of a core suite of PowerBI dashboards, the role-holder will develop a framework for assessing problem statements and … building right-sized, scalable data products to solve business problems. This will include onboarding our VBB model, brand metrics modelling, and developing our first 360 customer health app/dashboard. The Marketing Analyst will work closely with the Marketing Director, marketing team, and Data Systems Manager, as well as the wider analyst and data operations communities … to ensure standardisation across our data products and drive improvements in data quality, enabling leadership to trust the data they base decisions on. Skills & experience Solution-oriented mindset and logical thinker Focus on continuous improvement/+1% methodology Takes ownership of their learning - recognises gaps and new opportunities and applies learning to daily activities Expert in PowerBI More ❯

across geographies. You should be passionate about designing, building and deploying mid-size to large BI solutions for difficult and/or loosely structured problems. You will build complex data models to provide data driven insights for high impact decisions and to highlight new opportunities. Key job responsibilities • Interfacing with business customers, gathering requirements and delivering end to … end BI solutions, which includes defining success metrics, complex analytical deep dives, data modelling, and building scalable automation with reports and dashboards. • Partner with Tech, Product and Program teams during conceptualization stage and provide valuable inputs to build robust data aggregation platforms. • Support leadership reviews, Business Reviews, 1/3/5 Year planning exercises for the … group, Manage sprint planning for basic/advance analysis requests across stakeholders. • Interfacing with multiple technology and partner teams to extract, transform, and load data from a wide variety of data sources and ability to use a programming and/or scripting language to process data for analysis and modeling • Evolve organization wide Self-Service platforms. • Candidate More ❯

client requirements. Define and execute on a robust plan to ensure all client requirements are met, while leading the team to continuously innovate and streamline the application functionality and data quality assurance/testing process. Our professionals help our clients transform their business processes, improve efficiency of operations, increase transparency and performance management, and to comply with Federal laws … Publisher reporting, and dashboard capabilities. Minimum 3 year of extensive, hands on, end to end implementation experience using OBIEE and BI Publisher. Solid understanding of Business Intelligence (BI) tools, Data Warehouse (DW), Data Modelling concepts and SQL & PL/SQL. Experience in Data Visualization tools and techniques. Experience in drafting technical design specifications and test plans. … Business Intelligence (OTBI). Experience in migration or upgrades from OBIEE/OBIA to Oracle Analytics Cloud (OAC)/Oracle Analytics Server (OAS). Oracle OBIEE Integration using Oracle Data Integrator (ODI). Experience utilizing an issue tracking software such as JIRA and ServiceNow. Understanding of Financial or Human Capital Management HCM business processes. Compensation may vary based on More ❯

automation using Microsoft's Power Platform, Azure services, and various other modern scripting tools, while also contributing creative, forward-thinking ideas. You'll bring a developer's mindset, a data-savvy approach, and a curiosity for emerging technologies like AI, Copilot, and OpenAI integrations. You will collaborate with multidisciplinary teams, navigate diverse stakeholder needs, and help build a culture … Power Platform (Power Automate, Power Apps, Power Virtual Agents) Azure Logic Apps, Azure Automation, API integration Scripting (PowerShell, Python) and low-code/no-code development Working with relational data (Dataverse, SQL, Excel, or SharePoint Lists) Experience in handling business requirements, agile delivery, and iterative prototyping. Demonstrated ability to learn and adapt quickly to new technologies. Technical skills: Microsoft … Power Platform (Power Automate, Power Apps, Power Virtual Agents, Dataverse) Azure services: Logic Apps, Automation Runbooks, Azure OpenAI, Cognitive Services Scripting: PowerShell, Python (for automation and data tasks) APIs: REST APIs, webhooks, Microsoft Graph DevOps tools: Azure DevOps, GitHub Actions (CI/CD experience) Data: Basic SQL, data modelling, data wrangling Familiarity with Dataverse security More ❯

The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make our customer acquisition more efficient, improve our customer … retention rates, and drive operating efficiencies across the business. The primary goals of the team are: To build and run a data platform which can create and deliver analytics to colleagues and deliver regulatory reporting Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets To … create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines More ❯

Your New Role This list of duties is not exhaustive and may change from time to time according to business needs: SSRS and Power BI report development Creation of data models from multiple systems Create, design, and implement automated workflows Integrate Systems: Leverage Microsoft Business Central to integrate and automate businessprocesses Analyse current business processes and identify opportunities for … experiences to enhance the team. As such, there are a few essential skills we are looking for: ETL processes and methodologies Power Apps/Power Automate APIs and related data formats (JSON, XML,etc.) Strong SQL writing skills Strong understanding of data and data modelling Experience of developing Power BI reports and dashboards. Desirable Skills Microsoft More ❯

Energy, Octopus Investments and Octopus Money. Check out the Seccl website for the latest on our products and our mission to shape the future of investments. The role The Data Squad engineering manager's purpose is to lead and empower a high-performing team of data engineers to deliver scalable, reliable, and secure data capabilities. This role … is central to enabling internal and external data products, supporting business insights, and developing a modern data platform. The role will work closely with Product, Engineering, and Data Operations to align delivery with business outcomes, support the team's growth, and help shape our overall data strategy. On a typical day you will Guide and mentor … a team of data engineers, fostering their professional growth and ensuring high performance.Setting clear, measurable goals with regular performance reviews, development plans, and recognition. Collaborate with product managers and engineering leaders to define priorities and align data initiatives with business goals. Provide technical guidance and architectural oversight across the data platform, including data pipelines, orchestration and More ❯

Energy, Octopus Investments and Octopus Money. Check out the Seccl website for the latest on our products and our mission to shape the future of investments. The role The Data Squad engineering manager's purpose is to lead and empower a high-performing team of data engineers to deliver scalable, reliable, and secure data capabilities. This role … is central to enabling internal and external data products, supporting business insights, and developing a modern data platform. The role will work closely with Product, Engineering, and Data Operations to align delivery with business outcomes, support the team's growth, and help shape our overall data strategy. On a typical day you will Guide and mentor … a team of data engineers, fostering their professional growth and ensuring high performance.Setting clear, measurable goals with regular performance reviews, development plans, and recognition. Collaborate with product managers and engineering leaders to define priorities and align data initiatives with business goals. Provide technical guidance and architectural oversight across the data platform, including data pipelines, orchestration and More ❯

Energy, Octopus Investments and Octopus Money. Check out the Seccl website for the latest on our products and our mission to shape the future of investments. The role The Data Squad engineering manager's purpose is to lead and empower a high-performing team of data engineers to deliver scalable, reliable, and secure data capabilities. This role … is central to enabling internal and external data products, supporting business insights, and developing a modern data platform. The role will work closely with Product, Engineering, and Data Operations to align delivery with business outcomes, support the team's growth, and help shape our overall data strategy. On a typical day you will Guide and mentor … a team of data engineers, fostering their professional growth and ensuring high performance.Setting clear, measurable goals with regular performance reviews, development plans, and recognition. Collaborate with product managers and engineering leaders to define priorities and align data initiatives with business goals. Provide technical guidance and architectural oversight across the data platform, including data pipelines, orchestration and More ❯

decisions while supporting patient flow and quality of care. This included using advanced forecasting models to predict COVID admissions, creating real time operational dashboards, and gaining access to new data flows. Gloucestershire Hospitals BI Team has gained national recognition, winning the Health Tech Newspaper Award for Best Use of Data 2020 and AphAs Analytical Team of the Year. … work under pressure, and manage conflicting priorities for the team. See the attached job description for further information. About us Our multi-award winning BI Team aim to use data and analytics to make a real difference to the healthcare of the Gloucestershire population. Gloucestershire Hospitals is dedicated to nurturing the growth and potential of its staff. Within the … based (Cheltenham or Gloucester) as work requires. Person Specification Qualifications Bachelor Degree or equivalent educational level GCSE Maths and English must be specified. Knowledge/Skills Excellent SQL skills- data management, interrogation & analysis products Advanced knowledge and highly skilled in the use of MS Excel & BI visualising tools (Tableau, Power BI etc.) In depth knowledge and understanding of NHS More ❯

What You'll Be Working On: ️ Designing and developing BI dashboards, reports, and data visualizations ️ Building and maintaining data models, cubes, and ETL pipelines ️ Collaborating with business stakeholders to gather requirements and deliver insights ️ Optimizing SQL queries and ensuring high-performance data access ️ Ensuring data accuracy, consistency, and security in all BI solutions What We're … Looking For: ️ Proven experience as a BI Developer or in a similar data analysis/reporting role ️ Proficiency in BI tools such as Power BI, Tableau, or Looker ️ Strong SQL skills and experience working with relational databases ️ Understanding of data warehousing concepts and ETL best practices ️ Excellent analytical thinking and communication skills More ❯

Business Intelligence Engineer II Hybrid – London Up to £350 a day Inside IR35 6 Months Key Skills: SQL Experience in Data or BI space Experience with a virtualization tools, good understanding of data Key job responsibilities The successful candidate will thrive in a data driven environment that it driven to deliver insights that is timely, accurate and … actionable to aid decision support. Motivated by solving complex problems and excited about using data analytics to drive a business forward, the successful candidate will relish the opportunity of driving forward Prime Video's analytics to the next level. Some of the key responsibilities of this role will include: • Own business-critical reporting that is leveraged globally by hundreds … of users; from developing and maintaining large-scale data structures and ETL pipelines to creating reporting in Quicksight or Excel. • Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions. • Provide informed analysis, insight and recommendations around our business metrics to drive optimisation and more effective decision making. • Build strong relationships More ❯

Business Intelligence Engineer II Hybrid – London Up to £350 a day Inside IR35 6 Months Key Skills: SQL Experience in Data or BI space Experience with a virtualization tools, good understanding of data Key job responsibilities The successful candidate will thrive in a data driven environment that it driven to deliver insights that is timely, accurate and … actionable to aid decision support. Motivated by solving complex problems and excited about using data analytics to drive a business forward, the successful candidate will relish the opportunity of driving forward Prime Video's analytics to the next level. Some of the key responsibilities of this role will include: • Own business-critical reporting that is leveraged globally by hundreds … of users; from developing and maintaining large-scale data structures and ETL pipelines to creating reporting in Quicksight or Excel. • Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions. • Provide informed analysis, insight and recommendations around our business metrics to drive optimisation and more effective decision making. • Build strong relationships More ❯

the migration of the existing reporting system to Azure Databricks, ensuring a smooth transition. Design and implement new, scalable reporting solutions using PySpark, SQL, and Databricks visualization tools. Optimize data processing pipelines to enhance performance, reliability, and efficiency of regulatory reports. Optimize PySpark performance to handle large-scale financial data processing for regulatory reporting. Improve SQL query execution … to ensure fast, efficient report generation. Implement best practices for structured and unstructured data processing. Automate reporting processes to reduce manual intervention and enhance accuracy. Work with DevOps teams to ensure seamless Azure Databricks integration into the existing infrastructure. Skills Must have Databricks Concepts Databricks performance optimizations ACID properties of RDMS Python, PySpark SQL Concepts Databricks Queries and Visualization … Exposure to CI/CD DevOps Pipelines Nice to have Azure Data Services ETL & Data Processing, Financial Data Processing, experience handling risk, compliance, and regulatory data in an investment banking environment. Data Modeling, meta data management Git, GitHub, GitLab, Jenkins Regulatory compliance knowledge: Basel, MiFID, GDPR Big Data Cloud security and access controls More ❯

the migration of the existing reporting system to Azure Databricks, ensuring a smooth transition. Design and implement new, scalable reporting solutions using PySpark, SQL, and Databricks visualization tools. Optimize data processing pipelines to enhance performance, reliability, and efficiency of regulatory reports. Optimize PySpark performance to handle large-scale financial data processing for regulatory reporting. Improve SQL query execution … to ensure fast, efficient report generation. Implement best practices for structured and unstructured data processing. Automate reporting processes to reduce manual intervention and enhance accuracy. Work with DevOps teams to ensure seamless Azure Databricks integration into the existing infrastructure. Skills Must have Databricks Concepts Databricks performance optimizations ACID properties of RDMS Python, PySpark SQL Concepts Databricks Queries and Visualization … Exposure to CI/CD DevOps Pipelines Nice to have Azure Data Services ETL & Data Processing, Financial Data Processing, experience handling risk, compliance, and regulatory data in an investment banking environment. Data Modeling, meta data management Git, GitHub, GitLab, Jenkins Regulatory compliance knowledge: Basel, MiFID, GDPR Big Data Cloud security and access controls More ❯

for an experienced BI Developer to join their expanding analytics and reporting function. This role requires an individual who is technically an expert in SQL, Power BI, and Azure Data Factory. This role also requires collaboration with stakeholders, cross-functional teams and clear and concise communication skills. Salary and Benefits Competitive salary of £50k - £55k (depending on experience) Hybrid … care Pension Life Assurance Shopping and restaurants vouchers, rewards, and discounts Training and development opportunities-comprehensive skills-based training Role and Responsibilities Design, development, and maintenance of scalable, efficient data models using SQL, Azure Data Factory and Power BI. Collaboration within the data team to understand requirements and design and build models that support business requirements Support … the data team through data extraction, transformation, and loading (ETL) to provide efficient data access solutions. Monitor and troubleshoot data models, identifying and resolving any performance issues and proactively working on measures to maintain data availability and reliability. What do I need to apply for the role Expert SQL, Power BI, and data modelling. More ❯

responsible for conducting deep dive analyses to solve complex business problems. He/she will also be responsible for creating robust/automated reporting frameworks to increase visibility into data and enable data driven decision making. Another key aspect of the job is to unearth insights from data to help the operations team in driving process excellence. … This position requires excellent statistical knowledge, superior analytical abilities, good knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE will also be a good stakeholder manager as he/she will have to work closely with Ops stakeholders. Candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving … needs, possess strong attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables. - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau More ❯

Amazon, owning functions like merchandising, marketing, inventory management, vendor management, and program management. In this pivotal role, you'll support these functions with business intelligence derived from our vast data resources, contributing to the long-term growth and success of Amazon in the APAC region. You will collaborate with stakeholders from Pricing Program to contribute to Amazon's pricing … managers to improve product cost structures, and support the marketing team in developing strategies using large volumes of complex data. Responsibilities include exploring datasets, writing complex SQL queries, building data pipelines and visualizations with AWS Quicksight, and developing machine learning models to predict key outcomes. Key job responsibilities As a BI Engineer in the APAC Retail BI team, you … build partnerships with stakeholders to gain business understanding and develop insights and recommendations. You'll work with local and international BI experts to identify best practices, always applying a data-driven approach. Your stakeholders will rely on you to help understand customer behavior and enhance our offerings. This role involves periodic reporting but is primarily focused on analysis, reporting More ❯

Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data … machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer … data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation More ❯

automation and visualization dashboards and processes' to support our growing Amazon Logistics business in Japan. The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network. This individual will work with technical and business teams to optimize execution, process improvement and track progress against goals. This … systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data. Key job responsibilities • Lead data-driven presentations to executive stakeholders, translating complex analytics into actionable business insights and strategic recommendations • Partner with internal stakeholders to gather requirements and deliver comprehensive solutions • Collaborate with Data Engineering teams to prioritize and define AMZL Japan's data and BI development needs • Work with scientists, global supply chain, transportation, and logistics teams to identify new BI capabilities and projects • Conduct deep-dive investigations into operations and business challenges, identifying opportunities and leading implementation • Analyze large datasets to uncover trends in last-mile logistics, producing solid analysis More ❯

for a dynamic, organized, and customer-focused Analytics expert to join our Amazon Prime Analytics team. The team supports the Amazon India Prime organization by producing and delivering metrics, data, models and strategic analyses. This is a highly challenging and make-shift role that requires an individual with excellent team leadership skills, business acumen, and the breadth to work … across multiple Amazon Prime Business Teams, Data Engineering, Machine Learning and Software Development teams. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and a proven ability to work in a fast-paced and ever-changing environment. Key job responsibilities Developing a long term analytical strategy and driving the implementation of that strategy. … effectiveness to achieve strategic goals. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that help shape our business roadmap. Large scale data mining to find trends and problems, then communicate and drive corrective action. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability More ❯