1 to 25 of 879 Visualisation Jobs in London

applications) Experience with BI tools (ThoughtSpot, Tableau, Power BI, Looker, or similar) Strong Excel skills, including pivot tables, advanced formulas, and data modelling Understanding of statistical concepts and data visualisation principles Optional: Programming experience in Python or R for data analysis Business Acumen Ability to learn core business metrics across departments and ability to translate the requirements into business insights More ❯

the organization. Champion the adoption of data-driven decision-making and best practices throughout Freetrade. About you Strong SQL proficiency for data extraction, manipulation, and analysis. Expertise in data visualization tools (e.g., Tableau, Power BI) and creating compelling dashboards and reports. Proven ability to connect KPIs and analysis to business outcomes, persuading stakeholders and using data to enhance decision-making More ❯

working in a regulated environment, with experience of data legislation and cyber security accreditations e.g., GDPR, ISO27001, Cyber Essentials. Expertise in Business Intelligence, ideally via Power BI for data visualization and reporting Use of DevOps (CI/CD) concepts to test, schedule, and deploy to a production environment. Experience of working in a financial services firm. Benefits At Interpath, our More ❯

you must have: Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using More ❯

applications. Familiarity with cloud-based infrastructure, preferably Azure . Expertise with Data Warehousing/Data Lakes . Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau . Understanding Java is a plus. Desired Behaviors Independence : Ability to solve complex problems independently as an advanced individual contributor. Adaptability: Demonstrates flexibility and More ❯

reference data . Knowledge of Agile frameworks and tools such as JIRA or Azure DevOps . Excellent communication skills and stakeholder engagement capabilities. Nice to Have Familiarity with data visualization tools (e.g., Power BI, Tableau). Exposure to cloud platforms (e.g., Databricks , Snowflake ). Understanding of data governance , lineage , and metadata management . Experience with data cataloguing and quality frameworks More ❯

Data Analyst in the banking or financial services sector. Strong understanding of banking operations - retail, corporate, payments, lending, treasury, or risk. Technical expertise in: SQL, data analysis, and data visualization tools (Power BI/Tableau/Qlik) APIs (knowledge of JSON, RESTful services, Swagger/OpenAPI specs) Excel, ETL tools, and basic scripting (Python is a plus) Experience working in More ❯

e.g. Microsoft SQL Server or Access) and data management essential. Experience with Object Oriented programming (e.g. VBA, Python) essential. Strong skillset and experience with business intelligence tools and data visualisation (specifically Power BI) essential. Strong knowledge of Microsoft Word, PowerPoint, and Outlook, and Excel (expert). Experience leading team members or small projects an advantage. Personal Skills Possess strong analytical More ❯

analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure to programming languages such as Python or R is an advantage Familiarity with data visualization best practices Team player willing to collaborate in a fast-paced and diverse environment Excellent English and Mandarin communication skills, with the ability to present findings in a clear and More ❯

to work collaboratively across departments and manage multiple tasks. Strong problem-solving and critical-thinking skills. Excellent communication skills to present data insights effectively. Desirable Skills Experience with data visualisation tools (e.g., Tableau, Power BI). Familiarity with machine learning concepts and libraries. Knowledge of business intelligence and reporting tools What You Can Expect from Us: At InvestEngine, we're More ❯

term solutions. Skills & Experience: 1. Experience Over 3 years-experience in delivering Data Science projects using Python programming language, statistical and machine learning techniques, time series analysis and data visualisation and insight analysis. 2. Qualifications A Degree in Data Science, Computer Science, a related field or relevant professional experience 3. Analytical skills Analytical skills using software packages Python, SQL along More ❯

land with impact. What We're Looking For: Must-Haves: Strong proficiency in SQL for querying and transforming data, plus advanced Excel skills. Hands-on experience with BI/visualisation tools (Quicksight, Tableau, Power BI, Looker). Comfort working with large, complex datasets from multiple sources. Strong analytical skills, a problem-solving mindset, and a laser focus on detail. Ability More ❯

in Finance, Economics, Statistics, Computer Science, or related discipline. CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau, Power BI). Exposure to machine learning or AI frameworks in financial modeling is a plus. A collaborative, team-oriented mindset with a passion for continuous learning More ❯

Redshift). Hands-on experience with advanced modelling techniques in dbt. A deep understanding of ETL/ELT processes and tools (e.g., Fivetran, Airbyte, Stitch). Experience with data visualisation tools (e.g., Mode, Looker, Tableau, Power BI) and designing robust BI semantic layers. Exceptional understanding of data warehousing principles, dimensional modeling, and analytics best practices. Proficiency in Git-based workflows More ❯

data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical More ❯

data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical More ❯

data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical More ❯

data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical More ❯

models to support data ingestion, transformation, and delivery. Produce clear, robust technical documentation - including API specs and data flow diagrams. Deliver insights using Power BI, Tableau, Excel, and other visualisation tools. What You'll Bring Must-Have Technical Skills Proven hands-on experience with Microsoft Azure data technologies. Strong command of Power BI, Tableau, Excel, and SQL for data analysis More ❯

Experience: Proficient in SQL and Python. Experience analyzing large, complex datasets, preferably cloud-based. Knowledge of statistical and data science techniques (forecasting, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Looker. Degree in a numerate field (Math, Statistics, Economics, etc.). 1-2 years of relevant experience in a fast-paced, digital or commercial More ❯

analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning and cloud experience (Azure, AWS or GCP). Understanding data engineering solutions is a plus. Proven ability to manage projects with expert team members More ❯

IT development processes and delivery lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles Experience with Power BI or a similar data visualisation tool is desirable Why Just? We are committed to building a more sustainable business and have publicly committed to reduce our scope 3 emissions to Net Zero by 2050 and More ❯

trends or patterns. Through this interpretation process, data analysts can produce actionable insights to help organizations achieve their goals. He also supports business analyst with advanced statistical models. Data visualization: The data analyst turns their insights into visualizations that make abstract findings real for stakeholders. KPIs definition and implementation: The data analyst defines the performance KPIs with respect to the More ❯

knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including model lifecycle management, CI/CD for ML, monitoring, and scalable deployment More ❯

are we looking for: Working knowledge of Python, R, or similar languages and statistical methods. Experience with data processing, cleaning, and management, including ETL pipelines. Skills in data analysis, visualization, and storytelling with data. Analytical problem-solving and critical thinking abilities. Awareness of Generative AI techniques, including LLMs, prompt engineering, and RAG approaches. Experience with tools/frameworks for building More ❯