801 to 825 of 2,271 Business Intelligence Jobs in the UK

early-stage UK-based AI startup (fresh off a seed raise) is hiring a Senior Golang Engineer to help build the data backbone of their product: an AI-powered BI Analyst that allows non-technical users to perform complex analysis, create dynamic dashboards, and trigger operational actions in minutes, not days. This is a role for engineers who love building More ❯

Write clean, efficient, maintainable and well documented code in C# for the .NET WinForms application. Optimize and manage SQL Server databases, Including stored procedures, triggers, and Reporting Services for business Intelligence. Collaborate with cross-functional teams to gather requirements and implement new features. Troubleshoot, debug, and resolve system issues to ensure high availability and performance. Contribute to system architecture More ❯

Energy industry experience and will be expected to be an intermediate/advanced practitioner of the Microsoft Office software suite specifically Excel. and have a working knowledge of Power BI, which is becoming increasingly important to the business. The Company uses invoice validation software and has its own building monitoring software platform, so an aptitude for software is as important More ❯

levels of seniority Adaptable with the ability to work in an environment of change Other highly desirable, but not essential skills are: Experience of dashboarding MI data in Power BI or other reporting tools At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a More ❯

historical data analysis and stakeholder collaboration. Support the delivery of the annual Peak Plan across the network. Qualifications & Technical Skills Strong Excel skills; SQL and VBA desirable. Familiarity with BI, MI, SAP, and Evri systems. Experience & Knowledge Proven analytical and data interpretation skills. Commercially aware with a continuous improvement mindset. Understanding of Lean and process improvement methodologies. Your insights and More ❯

the audience. Built and led capable data teams through delivery and change. Nice to have: DAMA certification (or equivalent knowledge base). Experience embedding governance during digital, ERP, or BI transformation. Package & working pattern: Base: c.£90k + car/allowance (flexible for standout profiles). Benefits: 25-30 days leave + bank holidays, matched pension, life assurance, wellbeing support More ❯

the audience. Built and led capable data teams through delivery and change. Nice to have: DAMA certification (or equivalent knowledge base). Experience embedding governance during digital, ERP, or BI transformation. Package & working pattern: Base: c.£90k + car/allowance (flexible for standout profiles). Benefits: 25-30 days leave + bank holidays, matched pension, life assurance, wellbeing support More ❯

NFR) verification. Lead pilot and shadow assurance exercises to test readiness. Experience working in agile delivery (scrum, kanban, sprint ceremonies). Risk and defect management (JIRA, Confluence, Excel, Power BI). Strong QA leadership and analytical skills. Experience running incident simulations and KT validation. AWS operational principals (monitoring, recovery, stability). Proactive assurance: identifies gaps early, recommends solutions. Team enabler More ❯

that inform decisions. The successful candidate will engage with colleagues and managers to source and prepare data from our core systems, develop and maintain dashboards in Excel and Power BI, and troubleshoot reporting queries, providing timely, solution-focused insight. Experience with the Microsoft Power Platform is a bonus, not a requirement, training and support will be provided. What We Offer More ❯

This enables the ideal candidate to work with multiple technologies and be able to learn from the best. Tech Stack: Infrastructure: AWS with Docker, Kubernetes and Terraform, Azure (Power BI) Key Responsibilities: The initial role will include: Collaborate with development and operations teams to automate and streamline build, deployment, and release processes Configure and maintain cloud infrastructure, ensuring scalability, reliability More ❯

This enables the ideal candidate to work with multiple technologies and be able to learn from the best. Tech Stack: Infrastructure: AWS with Docker, Kubernetes and Terraform, Azure (Power BI) Key Responsibilities: The initial role will include: Collaborate with development and operations teams to automate and streamline build, deployment, and release processes Configure and maintain cloud infrastructure, ensuring scalability, reliability More ❯

high customer satisfaction. Serve as the primary liaison between clients and internal teams (engineering, product, configuration, support) to resolve technical and integration challenges. Understand each client's architecture and business processes to guide integration best practices and identify potential friction points. Collaborate with implementation teams to ensure smooth onboarding and handover of integration cases. Monitor and report on integration More ❯

cashed out for gift cards and more Virtual social engagements randomly throughout the year SWAG, we have some really cool swag Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more Check out all of our a-maze-ing benefits here. Outreach Notice We understand you might be excited about the job you're applying More ❯

Data Analytics and Reporting Lead The Data Analytics and Reporting Lead plays a pivotal role in transforming Developer Services data into strategic insights that drive business performance and workforce effectiveness. This role is responsible for the provision of Developer Services analytics, ensuring the delivery of accurate, timely, and meaningful data to stakeholders across the business. By leveraging advanced analytics … Business Administration, Engineering, Science, Statistics/Mathematics or a related field) and two years' experience including all listed below OR Option B: Relevant professional certifications in Microsoft Power BI, Microsoft Fabric, data analytics, SQL or related areas and two years' experience including all listed below. OR Option C: A minimum of four years' experience including all listed below. Experience … large and complex organization, communicating insights to non-technical audiences to support strategic decision-making. Engaging with stakeholders to define reporting requirements and deliver reporting solutions. Advanced Microsoft Power BI skills or an equivalent reporting tool with a proven record of developing user-friendly dashboards and reports. Knowledge of database concepts (i.e. entities, attributes, relations, normalisation). Experience or awareness More ❯

clients award winning analytics team on a 3 month contract. You will play a key role in transforming raw data into actionable insights, building scalable data models, and supporting business stakeholders with high-quality analysis. This role sits inside IR35 , and the successful contractor will be engaged via an approved umbrella company. Key Responsibilities Develop, maintain, and optimise BigQuery … and analytical data models . Analyse large, complex data sets to produce actionable insights for business and product teams. Build automated dashboards in Looker Studio , Tableau , or similar BI tools. Collaborate with Data Engineers to improve data quality, pipelines, and structure. Partner with stakeholders to gather requirements and translate them into analytical outputs. Create robust documentation and ensure best … practices across data governance and security. Essential Skills & Experience Proven experience as a Data Analyst or BI Analyst in mid-to-large data environments. Advanced SQL , with significant hands-on experience using Google BigQuery for analytics at scale. Strong data modelling skills (star/snowflake schema, optimisation, partitioning, clustering). Experience building dashboards using Looker Studio, Looker, Power BI, or More ❯

next level and be at the forefront of technological advancements, Senko is the place for you. The Associate Market Analyst plays a key entry-level role in supporting strategic business decisions through market research and data analysis. This position involves gathering and interpreting data on market trends, consumer behaviour, competitor activity, and economic conditions to generate actionable insights. These … insights help guide product development, marketing strategies, and overall business planning. Duties and Responsibilities: Gathering quantitative and qualitative data from multiple sources, including industry reports, databases, surveys, interviews, and digital analytics tools. Monitoring and capturing information about market trends, competitor products, pricing strategies, and promotional activities. Cleaning and organizing raw data to prepare for analysis using statistical software and … s degree in business, economics, statistics, marketing, or a related field. Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Excellent written and verbal communication skills for presenting complex data in accessible terms. Attention to detail and a methodical, organized approach to managing information. Ability More ❯

compliance technology. We are an innovative company that has already established itself as the preferred supplier to industry leading enterprise software companies. With comprehensive software telemetry and SaaS based business intelligence solutions, our technology allows customers to track unlicensed corporate usage of their valuable software and convert unlicensed corporate users into paying customers. Position Summary: Cylynt is seeking … managers and engineering teams to fulfil the product backlog using Scrum/Agile methodologies. •Contribute to a product go-to-market plan, and working with all departments across the business to execute. •Research and analyse technologies in the industry that can be utilized to contribute to the product’s success. •Encourage and promote innovation in the teams working on … your products. •Manage strategic partnerships required to support the business. •The role requires occasional business travel, both domestic and international. Experience/Skills: •A minimum of 5 years’ experience as a Product Manager. •Experience managing SaaS products and technologies is essential. •Experience managing revenue-generating, customer facing products is essential. •Experience managing enterprise software products is desirable. •Experience of More ❯

to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our clients. Key Responsibilities … Lead technical delivery within Kubrick’s squad deployed on client project engagements, ensuring that Kubrick is recognised for the quality and scalability of its solutions Translate complex business and data requirements into robust Snowflake designs, including data ingestion, transformation, and consumption layers Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding Build … Snowflake accounts Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI) Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering More ❯

to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our clients. Key Responsibilities … Lead technical delivery within Kubrick’s squad deployed on client project engagements, ensuring that Kubrick is recognised for the quality and scalability of its solutions Translate complex business and data requirements into robust Snowflake designs, including data ingestion, transformation, and consumption layers Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding Build … Snowflake accounts Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI) Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering More ❯

exposure across investments, operations, compliance, and sales. Significant runway for career progression in a lean, entrepreneurial environment. Key Responsibilities Take ownership of the firm’s internal analytics platform (Power BI) — enhancing and scaling it. Build a proprietary AI-powered natural language search tool for querying historical models and research notes. Develop dashboards and visualisation tools to support fund managers, client … stakeholders. Work with senior leadership to identify automation opportunities and solve data workflow challenges. Manage third-party vendors and consultants; oversee outsourced builds as needed. Core Skill Requirements Power BI : Strong experience building dashboards and data models. SQL : Comfortable writing and optimising queries for complex datasets. Python (or other scripting languages) : Exposure ideal; willingness to learn expected. Excel : Fluent, particularly … for modelling and cross-functional reporting. Ability to translate business problems into technical solutions , working autonomously and with non-technical stakeholders. Who We’re Looking For 2–4 years’ experience in data analysis, consulting, fintech, or financial services. A First-Class or high 2:1 degree from a Russell Group university — preferably in a STEM or quantitative field. A More ❯

exposure across investments, operations, compliance, and sales. Significant runway for career progression in a lean, entrepreneurial environment. Key Responsibilities Take ownership of the firm’s internal analytics platform (Power BI) — enhancing and scaling it. Build a proprietary AI-powered natural language search tool for querying historical models and research notes. Develop dashboards and visualisation tools to support fund managers, client … stakeholders. Work with senior leadership to identify automation opportunities and solve data workflow challenges. Manage third-party vendors and consultants; oversee outsourced builds as needed. Core Skill Requirements Power BI : Strong experience building dashboards and data models. SQL : Comfortable writing and optimising queries for complex datasets. Python (or other scripting languages) : Exposure ideal; willingness to learn expected. Excel : Fluent, particularly … for modelling and cross-functional reporting. Ability to translate business problems into technical solutions , working autonomously and with non-technical stakeholders. Who We’re Looking For 2–4 years’ experience in data analysis, consulting, fintech, or financial services. A First-Class or high 2:1 degree from a Russell Group university — preferably in a STEM or quantitative field. A More ❯

Budgeting and Forecasting: Manage and track actual costs incurred. Prepare annual budgets, forecasts, and comprehensive variance analyses. Collaborate with stakeholders to gather budget requirements and ensure alignment with overall business objectives. Develop and maintain complex financial models using large datasets to support strategic decision-making, budgeting, forecasting, and investment analysis. Perform in-depth financial analysis, including trend, variance, and … profitability analysis (Actual vs. Budget). Provide actionable insights derived from financial analysis to drive improved business performance. Communication and Collaboration: Effectively communicate with stakeholders across all organizational levels. Collaborate seamlessly with cross-functional teams to achieve shared objectives. Develop and deliver compelling presentations for senior management. Demonstrate flexibility and adaptability in responding to evolving business requirements and … complex, multi-currency group consolidations (preferably UK/US listed). ERP system experience (e.g., SAP, Oracle). Experience with large datasets and data visualization tools (e.g., Tableau, Power BI). Understanding of IT finance principles. Personal Attributes: Proactive and results-driven. Excellent problem-solving skills. Strong interpersonal skills. Ability to work independently and collaboratively. Highly adaptable and flexible in More ❯

Work closely with stakeholders to understand their data needs and design scalable solutions Build, maintain and optimise data pipelines and models using SQL, Python and Airflow Design and develop BI and reporting products such as Looker models, dashboards and data visualisations Contribute to our data modelling standards and best practices to ensure quality, reliability and cost efficiency Collaborate with other … ability to translate business needs into technical solutions Strong collaboration and communication skills, with a problem-solving attitude Experience building dashboards and visualisations in Looker, Tableau or similar BI platforms A curious and proactive mindset and a willingness to learn and broaden your skills Bonus Points Experience with CI/CD tools such as Drone or GitHub Actions Familiarity More ❯

ABM campaigns. Utilize data analysis to assess the effectiveness of various Marketing journeys, identify areas for improvement and optimize performance. Provide strategic recommendations based on data insights to influence business strategies and enhance overall performance. Work collaboratively with the rest of the Marketing Data and Analytics team and provide technical guidance to junior team members We are looking for … people who: Proven experience as a Data Analyst, with strong proficiency in using complex SQL queries to analyze and manipulate large datasets to address real-world business challenges Significant experience working in a data analyst role, with CRM tools like Sales Force and data objects like leads, opportunities … lead scores and customer-centric metrics. Strong analytical and problem-solving skills, with the ability to convert data into actionable insights. Proficiency in data visualization tools such as Power BI , or similar. Experience with Snowflake and GCP (BigQuery) or other cloud-based data warehousing technologies is highly desirable. Familiarity with Python is a plus. Working knowledge of Lead Scoring criteria More ❯

Operating in a fast-paced, high-performance environment, the fund values autonomy, initiative, and smart problem-solving. This is a unique opportunity to work across all areas of the business - Trading, Risk, Operations, Finance, and Compliance - while helping shape the firm's technology infrastructure as it scales. About the Role This is a broad, hands-on position where you … infrastructure hosted on Microsoft Azure, including VMs and storage Use Git for version control and code collaboration Support the onboarding and implementation of AI tools and systems Collaborate with business users to translate requirements into scalable technical solutions Drive automation and efficiency across the firm through hands-on project ownership Ideal Candidate Profile 1 - 5 years of experience in … version control Excellent problem-solving and communication skills A proactive, self-directed mindset and comfort working in a small, dynamic team Bonus Points For: Experience with dashboarding tools (Power BI, Tableau, Streamlit) Exposure to Linux scripting or workflow orchestration Understanding of financial markets or investment operations Why Apply? Join a tight-knit, high-performing team where your work has direct More ❯