1 to 25 of 180 Visualisation Jobs in Central London

reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is More ❯

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 reporting, and internal stakeholders. Work with senior leadership to identify automation opportunities and solve data workflow challenges. Manage third-party vendors and consultants; oversee More ❯

engaging and interactive training sessions across core data tools and concepts, including: Excel (data analysis, pivot tables, formulas, charts) SQL (queries, joins, aggregations) Python (data manipulation, best practices) Data Visualisation (Power BI and/or Tableau) Cloud Platforms (AWS, GCP, or Azure) Teach both internal consultants and external corporate clients, adapting delivery to different audiences and skill levels. Create and More ❯

communication skills and business acumen to present complex technical ideas to non-technical stakeholders Curious, proactive, and comfortable working in ambiguity in a scaling startup environment Proficiency with data visualisation tools such as Tableau, PowerBI Degree with 5+ years of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from More ❯

services. Deep understanding of data warehousing concepts and technologies (e.g., Snowflake, Redshift). Strong knowledge of ETL/ELT processes and tools. Solid experience of utilising PowerBI or similar visualisation tools Experience working with big data technologies and frameworks (e.g., Spark) Excellent problem-solving skills and a proactive approach to data engineering challenges. Strong communication skills with the ability to 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 ❯

e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure More ❯

data insights into business strategie s.Advanced analytical and quantitative skil ls, with expertise in statistical analysis and predictive modelin g.Proficiency in SQL, Python, or R, and experience with data visualization tools such as Power BI, Tableau, or Looker Studi o.Excellent stakeholder management skil ls, with the ability to communicate complex data findings to non-technical audience s.Knowledge of data science More ❯

at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing concepts and technologies. Familiarity with data visualization tools such as Tableau or Power BI. Experience with data modeling and database design. AWS certification(s) related to data and analytics. 🌳Candidates must hold a valid British passport and More ❯

closely with cross-functional teams, including Technology, HR and Finance. Ensure compliance with data privacy and security standards. Skills Required: Previous experience in a data role. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Knowledge of ETL processes and data warehousing concepts. Strong analytical and problem-solving skills. Strong presentation skills, both written and verbal; able to More ❯

working across technical and non-technical teams. Nice to Have Skills Experience with Salesforce data, reporting, or integration. Familiarity with ThoughtSpot or Power BI. Exposure to JavaScript for data visualisation or automation use cases. Experience with Snowflake. Why Join us? Join a forward-thinking, innovative company that's shaping the future of finance You'll join a talented, collaborative team More ❯

Developer role in asset management or sustainability analytics industry Demonstrable experience working with ESG and sustainability data Strong proficiency in Python and practical experience using SQL Experience with data visualisation platforms, ideally Power BI and Tableau Proven track record managing end-to-end development projects Experience deploying models and analytical tools into production, partnering with engineers on scalable solutions Strong More ❯

A proactive, problem-solving mindset. Nice-to-have experience: Consulting or client-facing experience. Python for data analysis and automation. Experience with JIRA, Confluence, or Azure DevOps. BI/visualisation tools such as Power BI, Tableau. Cloud data platforms such as AWS, Azure, Snowflake. Financial Crime, regulatory, or compliance project delivery experience. Additional information: This role is Hybrid with More ❯

BI solutions, building strong business partnerships, and using data to power strategic decision-making across the organisation. What you’ll be doing Designing, developing, and maintaining data management and visualisation solutions that enable smarter, faster decision-making. Building and maintaining reporting and data layers on top of the Azure Cloud data warehouse to drive consistency across business reporting. Partnering with More ❯

Qualifications - Bachelor's degree in Business, Economics, Data Analytics, or a related field - Familiarity with customer experience principles and metrics (e.g., NPS, retention rates). - Experience working with data visualization tools (e.g., Tableau, Power BI). - PMP or other relevant project management certifications. More ❯

edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of More ❯

either Python or R to bring data together from diverse sources and prepare for analysis using cleaning and preparation techniques extensive practical experience of using innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional experience in subjects such as Statistics, Data/Computer Science, Economics, Public Policy, or the Sciences More ❯

e.g., Git).  Experience with Agile development methodologies.  Excellent communication, interpersonal, and problem-solving skills.  Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs).  Experience with data visualisation tools (e.g., Tableau, Power BI).  Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes).  Experience working in a financial services or economic data environment.  Azure More ❯

agile team, with full ownership of dashboarding and reporting tools. YOUR SKILLSET: 3+ years in a commercial, analytical role – media, tech, or FMCG a plus Strong SQL Strong Data Visualisation/Reporting experience, in the likes of Power BI, Tableau or Looker Able to simplify complex data for non-technical leaders Self-starter comfortable working autonomously WHY APPLY? Full ownership More ❯

and automation. Proven experience designing, running, and interpreting A/B tests and experiments. Strong understanding of growth, engagement, and retention metrics across digital products. Skilled in dashboarding and visualisation using tools such as Amplitude, Looker, Tableau, or QuickSight. Excellent communicator who can translate data into actionable insights and influence decision-making. Bonus: exposure to AI-driven analytics , LLMs , or More ❯

and automation. Proven experience designing, running, and interpreting A/B tests and experiments. Strong understanding of growth, engagement, and retention metrics across digital products. Skilled in dashboarding and visualisation using tools such as Amplitude, Looker, Tableau, or QuickSight. Excellent communicator who can translate data into actionable insights and influence decision-making. Bonus: exposure to AI-driven analytics , LLMs , or More ❯

and automation. Proven experience designing, running, and interpreting A/B tests and experiments. Strong understanding of growth, engagement, and retention metrics across digital products. Skilled in dashboarding and visualisation using tools such as Amplitude, Looker, Tableau, or QuickSight. Excellent communicator who can translate data into actionable insights and influence decision-making. Bonus: exposure to AI-driven analytics , LLMs , or More ❯

coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder management skills. Why join? Be part of a fast-growing sports 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 ❯