1 to 25 of 218 Visualisation Jobs in London

of a growing analytics team looking to drive forward advanced data-driven decision making at the heart of Lloyd’s insurance market? Do you have a passion for analytics, visualization and generating real business impact through communicating value insights? We are seeking a highly skilled Senior Data Analyst to join our forward-thinking broking analytics team. This role combines commercial More ❯

experience as a Data Analyst or similar analytical role.* Strong analytical skills with the ability to collect, organise, and analyse significant amounts of data.* Proficiency in SQL and data visualisation tools (e.g. Power BI, Tableau).* Advanced Excel skills, including pivot tables and complex formulas.* Experience with data cleaning, modelling, and business intelligence reporting.* Strong attention to detail and problem More ❯

experience as a Data Analyst or similar analytical role. Strong analytical skills with the ability to collect, organise, and analyse significant amounts of data. Proficiency in SQL and data visualisation tools (e.g. Power BI, Tableau). Advanced Excel skills, including pivot tables and complex formulas. Experience with data cleaning, modelling, and business intelligence reporting. Strong attention to detail and problem More ❯

hands-on development of platforms/dashboards inc SQL, ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data – Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry More ❯

an opportunity to advance their understanding of data, working closely with business leaders to generate meaningful insight. Responsibilities Act as the subject matter expert (SME) for data analytics and visualisation to their Private Wealth brands (Partners Wealth Management, Amicus Wealth, Johnston Carmichael Wealth and their Private Client). Work closely with senior leadership, key stakeholders & data champions to draw together More ❯

Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial More ❯

Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial More ❯

and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a More ❯

Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on More ❯

data lifecycle - from strategy, governance, and engineering through to BI and advanced analytics. Strong experience designing and implementing modern data platforms (cloud, on-prem, hybrid). Skilled in data visualisation and storytelling - able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R More ❯

queries for efficient data retrieval. Develop and maintain reports and dashboards. Interpret and utilize common data warehouse models to support business intelligence needs. Apply best practices in BI, data visualization, and self-service reporting. Work in an agile environment to refine requirements and enhance analytics capabilities. Communicate complex data insights clearly to both technical and non-technical audiences. Participate in More ❯

analytics processes for efficiency and scalability Profile Proven experience in a data analysis or business intelligence role Advanced knowledge of MS Excel, Power BI, including DAX, data modelling, and visualisation best practices Strong proficiency in Python for data manipulation and analysis Solid SQL skills and experience working with relational databases Excellent communication and stakeholder management abilities A methodical approach with More ❯

actively explore, recommend and apply AI technologies to streamline report preparation, enhance data insights, and improve users’ ability to query and interact with data independently. Responsibilities: Power BI & Data Visualisation Lead the design, development, and maintenance of Power BI reports and dashboards to deliver actionable insights and drive data- informed decision making. Collaborate closely with the tech team to identify More ❯

and Agile product development methodologies and frameworks. Expertise in developing product requirements, roadmaps, and MVP strategies that balance immediate impact with scalability. Strong background in dashboard development and analytics visualisation . Demonstrated success in leading cross-functional teams , building alignment, and managing diverse stakeholders. Excellent leadership, interpersonal, and communication skills to influence and drive buy-in at all levels. Experience More ❯

with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau). Experience working with multi-tenant platforms or white-labelled products. Understanding of workplace pensions, retirement planning, or financial wellbeing solutions. Familiarity More ❯

with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau). Experience working with multi-tenant platforms or white-labelled products. Understanding of workplace pensions, retirement planning, or financial wellbeing solutions. Familiarity More ❯

collaboration with MLOps and engineering teams. Required: Translate model outcomes into actionable insights through clear storytelling and visualizations. Build dashboards and reports using Power BI, Tableau, or Python-based visualization tools. Communicate findings to both technical and non-technical stakeholders effectively. Partner with business analysts, architects, and domain experts to define use cases and success metrics. Contribute to the enterprise More ❯

Exposure:Experience with LLMs, LangChain, HuggingFace, synthetic data generation, and prompt engineering. Digital Twin Integration:Familiarity with nVidia Omniverse, AWS TwinMaker, Azure Digital Twin or similar platforms and concepts Visualization Tools:Power BI, Grafana, or custom dashboards for operational insights. DevOps & Automation:CI/CD tools (Jenkins, GitHub Actions), infrastructure-as-code (Terraform, CloudFormation). Industry Standards:ISA-95, Unified More ❯

literacy and effective use of BI tools. What you'll need to succeed Experience within financial services Strong analytical skills and high numeracy Advanced Excel and experience with data visualisation tools (e.g., Power BI) Familiarity with CRM systems (e.g., Salesforce) and SQL Good understanding and usage of AI (Co-Pilot) to streamline tasks Excellent communication and stakeholder management skills Knowledge More ❯

similar IaC tools is a plus. Proactive, delivery-focused, and able to contribute quickly in a fast-moving environment. Nice to Have Experience with Power BI or other data visualisation tools. Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. Understanding of CI/CD practices in data and analytics engineering. Knowledge of data governance, observability, and security best More ❯

Technical Capabilities Strong data manipulation and analysis skills. Programming using Python and SQL (additional languages are a benefit). Dashboarding using Tableau and/or Power BI and data visualisation using common data science packages (Matplotlib, seaborn, etc.) Understanding of version control (preferably through Git). Experience in contributing to and improving technical playbooks. Solid knowledge of statistical methods and More ❯

audiences We are looking for experience in: 5+ years of experience in data analysis Proficiency in SQL (complex queries), ETL processes, medallion-based architecture and Power BI (or similar visualization tools) Strong proficiency in Excel and at least one Business Intelligence (BI) tool (e.g. Power BI, Tableau, ThoughtSpot, or Looker) Working knowledge of SQL for data querying and analysis Demonstrable More ❯

process • Mentor other analysts and scientists (no line management) • Support scalable self-serve analytics tools and processes Core skills • SQL: day-to-day user • Python: beneficial but not essential • Visualisation: experience with PowerBI, Looker or Tableau • Familiarity with ETL workflows • Proven autonomy running A/B tests end-to-end (typically 3–5 per quarter), including statistical analysis using Python More ❯

ability to interpret and analyse data confidently Ability to turn complex datasets into simple, compelling insights Stakeholder-facing communication skills: confident presenting to senior decision-makers Experience using data visualisation tools (e.g., Looker Studio, Tableau, Power BI) is a bonus Benefits £400-£450 per day outside IR35 How to Apply Register your interest by sending your CV to Lloyd Dunstall More ❯

satisfaction Essential Experience: Relevant professional certification or equivalent experience (Microsoft, ITIL, Google analytics, PowerBI, etc) Experience in a Product analyst role with face-to-face support. Experience working with visualisation Software PRINCE2 Foundation or AGILE certification (desireable) Familiarity with Analytics tools AI/Microsoft CoPilot/Generative AI knowledge If this sounds like you and you are an excellent communicator More ❯