301 to 325 of 3,527 SQL Jobs in the UK

a broad set of stakeholders and requires the ability to construct well-structured and reasoned narratives. Reasonable fluency in a scripting language (Python or Awk) for data analysis Basic SQL to access and analyse Oracle DB data Basic Unix skills Our systems are complex, need to be self-starting at using multiple resources (people, specifications, Confluence, legacy documents etc.) to More ❯

a broad set of stakeholders and requires the ability to construct well-structured and reasoned narratives. Reasonable fluency in a scripting language (Python or Awk) for data analysis Basic SQL to access and analyse Oracle DB data Basic Unix skills Our systems are complex, need to be self-starting at using multiple resources (people, specifications, Confluence, legacy documents etc.) to More ❯

a broad set of stakeholders and requires the ability to construct well-structured and reasoned narratives. Reasonable fluency in a scripting language (Python or Awk) for data analysis Basic SQL to access and analyse Oracle DB data Basic Unix skills Our systems are complex, need to be self-starting at using multiple resources (people, specifications, Confluence, legacy documents etc.) to More ❯

marketing activity tracking data into Google Analytics Properties. Google Analytics properties and views to provide user behaviour goals and funnels to enable product iteration Google Data Studio dashboards (with SQL, Google Sheets and Google Analytics sources) to share information with a broad range of stakeholders A proven track record of web analytics reporting, building dashboards & ad-hoc analysis. Experience in … Social Media analytics (reporting, building dashboards & analysis) Experience in identifying and personalization of user journeys derived from quantitative analytics. Experience in Agile development environment (Scrum/Kanban). Azure SQL Database and Azure Cosmos Database experience Use of collaboration tools such as Jira and Confluence, Github and Trello. Excellent interpersonal, written and verbal communication skills and can present complex information … writing, and querying data in JSON format Desired skills Implementing appropriate Machine Learning models, including selection and optimisation for automated outputs (and understanding model accuracy, limitations, biases, and ethics) SQL Management Studio for working with SQL code, Visual Studio, as appropriate to data related enterprise tooling tasks, Power BI for advanced data visualisation, Excel, including power query, pivot tables, and More ❯

understanding of structured data management and enterprise data best practices. - Proven experience implementing Business Intelligence (BI) solutions and operational dashboards. - Advanced proficiency with Microsoft BI Stack: SSIS, SSRS - Strong SQL Server skills and SQL querying experience - Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI - Tableau dashboard development and reporting - Python programming More ❯

marketing activity tracking data into Google Analytics Properties. Google Analytics properties and views to provide user behaviour goals and funnels to enable product iteration Google Data Studio dashboards (with SQL, Google Sheets and Google Analytics sources) to share information with a broad range of stakeholders A proven track record of web analytics reporting, building dashboards & ad-hoc analysis. Experience in … Social Media analytics (reporting, building dashboards & analysis) Experience in identifying and personalization of user journeys derived from quantitative analytics. Experience in Agile development environment (Scrum/Kanban). Azure SQL Database and Azure Cosmos Database experience Use of collaboration tools such as Jira and Confluence, Github and Trello. Excellent interpersonal, written and verbal communication skills and can present complex information … writing, and querying data in JSON format Desired skills Implementing appropriate Machine Learning models, including selection and optimisation for automated outputs (and understanding model accuracy, limitations, biases, and ethics) SQL Management Studio for working with SQL code, Visual Studio, as appropriate to data related enterprise tooling tasks, Power BI for advanced data visualisation, Excel, including power query, pivot tables, and More ❯

using Power BI, Power Query, and DAX Developing data models and interactive dashboards that deliver real business impact Collaborating with clients to understand needs and design tailored solutions Using SQL (and ideally Python/R) to extract, transform and analyse data Translating analytical outputs into actionable recommendations Contributing ideas for new approaches, tools, and methodologies to improve client outcomes Mentoring … junior team members and supporting their growth What we're looking for Proven experience with Power BI - including data modelling, DAX and visualisation Strong SQL skills; VBA/Python/R experience a bonus Commercial understanding of marketing, CRM or digital environments (charity sector knowledge a plus, not essential) Ability to think strategically and communicate insights with impact A background More ❯

to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and … with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture More ❯

Microsoft SSIS, Apache Nifi, etc.). Knowledge of scripting languages (e.g., Python, Java, Bash). Experience with the development and implementation of APIs. Strong knowledge of relational databases (e.g., SQL Server, Oracle, MySQL) and data query languages (SQL, PL/SQL, etc.). Solid understanding of data modelling, data warehousing, and data governance principles. Experience with cloud data integration tools More ❯

to capture reporting needs and deliver fit-for-purpose BI solutions. Design, build and maintain interactive dashboards and reports using tools such as Pyramid Analytics and Power BI. Use SQL and Python to access, prepare and model data, building optimised BI data models. Collaborate closely with Data Engineers and subject matter experts to ensure data is structured, accurate, and accessible. … early-stage AI and advanced analytics projects. What You'll Need: Proven experience as a BI Developer, with expertise in tools such as Pyramid Analytics or Power BI. Strong SQL skills and understanding of data modelling. Experience gathering business requirements and translating them into BI solutions. Ability to design mobile-responsive dashboards and promote self-service reporting. Excellent communication and More ❯

high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and More ❯

high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and More ❯

high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and More ❯

high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and More ❯

high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and More ❯

high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and More ❯

and supporting the Back End services and infrastructure that enable scalable, secure, and high-performing web applications. Your core strengths will lie in Microsoft Azure, C#, and Scripting with SQL and PowerShell, with a strong emphasis on problem-solving and proactive development. Key Responsibilities Designing, developing, and maintaining Azure-based applications powering client-facing web solutions. Building scalable, secure, and … high-performance Back End services using Microsoft Azure and related technologies. Collaborating with cross-functional teams to deliver innovative technology solutions and exceptional client experiences. Scripting with C#, SQL, and PowerShell to support cloud-integrated applications and automation. Troubleshooting, optimizing, and enhancing the performance and reliability of cloud applications. Implementing modern development practices including CI/CD pipelines and infrastructure … The ideal candidate will possess the following: Experienced developer with strong Microsoft Azure skills, including Storage, Networking, App Services, Key Vault, and Scripting with Azure CLI. Proficient in C#, SQL, PowerShell, and familiar with APIs like OpenAPI, OAuth, and GraphQL. Strong problem-solving skills, proactive, and committed to building reliable, secure, and maintainable systems. Good understanding of security, compliance, and More ❯

challenges in demand planning, fulfilment, and stock optimisation across Supply Chain and Logistics. Build dashboards in Metabase to track demand, inventory levels, DC throughput, and network efficiency. Write robust SQL to extract and transform data from operational, forecasting, and inventory sources. Deliver ad-hoc analysis on forecast accuracy, inbound flow, and stock availability to support supply decisions. Collaborate across Supply … backlog prioritisation within the Supply Chain analytics roadmap. Location:This is a hybrid role, with 2 days per week expected in either our London or Nuneaton office. The Person SQL proficiency: Comfortable querying, joining, and transforming large datasets from operations, inventory, and supply planning sources. Supply chain awareness: Familiar with concepts like demand forecasting, DC operations, inbound flow, stock availability More ❯

through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with More ❯

support from senior staff. Qualifications: Degree in Finance, Economics, Mathematics, Statistics , or a closely related field. Strong interest in data and financial analysis. Confidence working with Excel ; familiarity with SQL, Python , or Power BI is a plus. Basic understanding of financial reporting and performance metrics. Analytical mindset with high attention to detail. Strong verbal and written communication skills. What’s More ❯

like Tableau, Sigma Qlik, Domo, Power BI, Looker, or equivalent Strong understanding of UX/UI principles and visual storytelling through data Working knowledge of creating data connections - e.g. SQL and relational databases, DataBricks, JSON files, API services, Data Lakes Meticulous attention to detail with a user-first mindset Excellent communication and collaboration skills across technical and non-technical teams More ❯

of financial and commercial data where needed, streamlining reporting processes. Skills and Experience Some experience with a Business Intelligence tool such as Looker, Tableau, Power Bi or similar Good SQL skills, you know your way around a database. Some exposure to a cloud-based data warehouse such as Snowflake, Redshift, Big Query or similar. Some knowledge of ETL/ELT More ❯

to candidates who also have: Exposure to MLOps practices for deploying and monitoring AI models in production Familiarity with microservices, event-driven architectures, and API-first design Database experience (SQL and NoSQL, e.g., PostgreSQL, DynamoDB) Infrastructure as Code (IaC) experience (Terraform or similar) Experience with front-end and back-end frameworks (e.g., React, Express.js, or equivalents) Containerization and orchestration experience More ❯

grow easily. Experience with tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured More ❯

grow easily. Experience with tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured More ❯