26 to 50 of 3,170 DemandTrendPermanent Analytics Jobs

and Power Pivot (including DAX). Build and maintain dashboards and visualisations in Power BI and Tableau from SQL sources. Collaborate with cross-functional teams to deliver reports and analytics to meet program deadlines. Ensure accurate, timely, and high-quality data reporting across multiple systems. Technology & Tools: SQL database architectures and writing complex T-SQL queries Data warehousing concepts and More ❯

and Power Pivot (including DAX). Build and maintain dashboards and visualisations in Power BI and Tableau from SQL sources. Collaborate with cross-functional teams to deliver reports and analytics to meet program deadlines. Ensure accurate, timely, and high-quality data reporting across multiple systems. Technology & Tools: SQL database architectures and writing complex T-SQL queries Data warehousing concepts and More ❯

with strong emphasis on Power BI, Power Apps, and Power Automate. You will play a critical role in driving business efficiency and decision-making through the development of insightful analytics and automated workflows. Your responsibilities and activities will include: • Design, develop, and maintain Power BI visualizations and reporting solutions. • Collaborate with stakeholders to understand requirements and deliver data-driven insights. More ❯

reporting solutions, automating business processes, and integrating data across platforms such as SharePoint, SQL, and Excel. The ideal candidate brings both technical expertise and a practical understanding of business analytics and workflow automation in a federal environment. Key Responsibilities: Design, develop, and maintain Power BI reports, dashboards, and data models using DAX Build and support low-code/no-code More ❯

on time. Essential Skills & Experience: Solid experience in an MI-focused role. Advanced Excel skills. Strong experience with SAS : coding, Enterprise Guide (EG) , Data Integration Studio (DI) , and Visual Analytics (VA) . Experience with data quality management concepts. Excellent communication and stakeholder management skills—able to explain complex technical information to non-technical audiences. Proactive problem-solving skills and strong More ❯

problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights More ❯

problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights More ❯

Warehousing, Visualization, Data Science, and Data Governance. Headquartered in Sydney, Australia, with offices worldwide, we help clients navigate complex business conditions, eliminate inefficiencies, and enable scalable adoption of an analytics-driven culture. About the Role We are seeking a Senior Data Governance Consultant with a strong understanding of data management principles to support a security-focused project centered on Data More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

an agile environment Strong leadership and communication skills, with the ability to engage confidently with clients, including C-level stakeholders Desirable Skills (Bonus Points) Experience with data engineering and analytics using native cloud tools (AWS Glue, Azure Data Factory, GCP Dataflow, etc.) Familiarity with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application More ❯

scalable ETL/ELT data pipelines using Azure Data Factory, Data Lake, and SQL. * Prepare and preprocess large datasets to ensure data quality and readiness for ML modelling and analytics workflows. 4. Software Engineering & Collaboration * Write clean, maintainable, and production-ready code in Python using industry-standard libraries and tools. * Work collaboratively with data scientists, actuarial teams, and software developers More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

operational improvements across Outserve What We’re Looking For Degree or equivalent in statistics, mathematics, economics, or related field Strong experience with Microsoft Power BI Commercial experience in data analytics Knowledge of Xero, QuickBooks, A2X, Unleashed, Shopify (desirable) Analytical mindset with excellent financial awareness Exceptional attention to detail and communication skills Support in wider business projects and system implementation What More ❯

focus on Azure services. Strong expertise in designing and implementing ETL processes. Experience in using SQL to query and manipulate data. Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and Azure Data Factory. Understanding of data extraction from vendor REST APIs. Spark/Pyspark or Python skills a bonus or More ❯

Microsoft Data Engineer for BES Group, you will own the development and implementation of data and reporting solutions using the latest Microsoft technologies: SQL Server Integration Services Azure Synapse Analytics, Azure Analysis Services, Azure Data Lake, Azure SQL Database, Azure Data Factory and Power BI. This role is hybrid based in our Manchester office. You will: Work with other members More ❯

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

industry trends and emerging technologies to continuously improve the Insights department and wider business. What Will Make You Successful in This Role? Experience Strong leadership experience in Data, Insights, Analytics or Business Intelligence departments. An Understanding of the Sustainability & ESG imperative for large businesses in the UK. In-depth understanding of the UK Telecommunication industry, and it's wholesale market More ❯

About The Role The Head of Business Intelligence & Analytics will own Foxtons' enterprise-wide BI strategy, leading the development of our Azure-based data platform, governance frameworks, and reporting ecosystem. You will drive the adoption of AI-enhanced analytics, enable self-service BI across the organisation, and ensure that data is trusted, timely, and actionable. This role will be pivotal … in shaping how data is used to increase revenue, optimise operations, and enhance customer experience. Key Responsibilities Data Strategy, Platform & Governance Own and evolve the enterprise BI and analytics strategy, aligned with business objectives and OKRs. Lead the development of the Azure Synapse datalakehouse and OneLake architecture, ensuring scalability, performance, and security. Oversee data ingestion, transformation, and modelling, integrating both … frameworks, including KPI definitions, metadata management, and GDPR/compliance adherence. Embed ethical AI and responsible data practices, ensuring transparency, fairness, and explainability in AI models. Reporting, Visualisation & Advanced Analytics Lead the design and delivery of enterprise-wide Power BI solutions, optimising DAX and semantic models for performance and usability. Implement AI-driven features (e.g., Power BI Copilot, natural language More ❯

making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst More ❯

making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst More ❯

making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst More ❯