1 to 25 of 183 Visualisation Jobs in London

Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus. Excellent problem-solving skills, eagerness to More ❯

experience in data quality management, data governance, or a data analysis role, preferably within a financial services environment. Strong SQL skills and familiarity with data manipulation. Experience with data visualization tools (e.g., Tableau, Power BI) and data quality/orchestration software. Knowledge of ETL processes and modern data warehousing concepts. Exceptional attention to detail with strong analytical and problem-solving More ❯

into effective data solutions that drive decision-making. Ensure data quality, consistency, and governance across all reporting solutions. Provide technical expertise and guidance to colleagues and clients on data visualisation best practices and analytics capabilities. Requirements Technical Skills Expert-level proficiency with Power BI, including DAX, M, advanced modelling techniques, DirectQuery, and Import. Strong SQL skills, with the ability to More ❯

science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly). Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus. Exceptional ability to translate More ❯

priorities. Advanced Excel skills, including pivot tables, formulas, and data modeling. Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep). Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or go-to-market strategy analytics. Knowledge of CRM systems like Salesforce. Familiarity with SQL 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 ❯

and related software, including Microsoft Office applications; · Knowledge of data engineering using data stores including MS SQL Server, Oracle, NoSQL, Hadoop or other distributed data technologies. Experience using data visualization tools is a plus; · Experienced with Excel to aggregate, model, and manage large data sets; · Familiar with Microsoft Power BI and or Tableau skills, including ability to transform data, develop 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 ❯

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 ❯

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 ❯

of accurate data science models, and review that proposed solutions meet security, compliance, and governance requirements. * Monitor model performance, identify drift and implement model retraining when appropriate. * Use data visualisation and storytelling techniques to share analytic conclusions and their strategic impact. * Collaborate closely with other teams to manage interdependencies, risks and resourcing to support portfolio delivery. * Develop AI/ML More ❯

Perplexity to enhance prompt performance and relevance. Support the design and implementation of AI-powered chatbots within DealCloud to improve user interaction and automation. Collaborate with data engineers and visualisation specialists to embed AI-driven insights into dashboards and business workflows. Continuously monitor and improve prompt effectiveness, ensuring contextual accuracy and user satisfaction. Maintain clear documentation of prompt logic, use 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 ❯

Orgvue is a leading organizational design and planning software platform that captures the power of data visualization and modelling to build more adaptable, and better performing organizations. HR, finance and business leaders use Orgvue for actionable insight and analysis that helps them make faster workforce decisions in a constantly changing world. Orgvue is used by the world's largest and 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 ❯

Financial reporting experience with large, 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. 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 ❯

governance frameworks, strategy, and policy Excellent attention to detail Hands on experience with code management tools such as Git and DevOps Familiarity with data architectures, data technology and data visualisation tools such as Power BI or Tableau Please download a full job description to see a full person specification and role responsibilities. Flexible and agile working Everyone's personal situation More ❯