1 to 25 of 65 Tableau Jobs in the City of London

A STEM degree (or equivalent) from a top-tier university 3+ years’ experience in a technical, data-focused, and customer-facing consulting role Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI). Strong skills in SQL and Python for data modelling, integrations, and process automation Hands-on use of APIs, including constructing calls in Postman Familiarity with AI More ❯

in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying AI/ML to solve complex business challenges. Nice to Have: Exposure to More ❯

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 and non-technical audiences. It's More ❯

in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

a focus on customer lifecycle analytics. Strong knowledge of CLV modelling, churn prediction, retention analytics, and campaign performance analysis. Proficiency in SQL. Experience with data visualisation tools such as Tableau, Power BI, or Looker. Solid understanding of A/B testing principles and experimentation frameworks. Strong communication skills and ability to influence non-technical stakeholders. Experience working with large datasets More ❯

Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross-functional teams to identify More ❯

a quantitative discipline ·Exposure to Collibra and other data governance tools Nice-to-have: Experience on ECB onboarding would be greatly beneficial for this role Experience with Power BI, Tableau and SharePoint Exposure to SQL, Python, R and Data Engineering More ❯

relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have: Experience working with public sector clients Familiarity More ❯

experience, preferably in a quantitative discipline Exposure to Collibra and other data governance tools Experience on ECB onboarding would be greatly beneficial for this role Experience with Power BI, Tableau and SharePoint Exposure to SQL, Python, R and Data Engineering Knowledge of data related regulatory requirements Knowledge of emerging trends and issues within the Data Management landscape Experience working in More ❯

tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS More ❯

other NoSQL databases. Practical knowledge of MLOps principles, including CI/CD pipelines using GitHub Actions . Experience with analytics platforms like Google Analytics and business intelligence tools like Tableau or Power BI. Knowledge of GPU-accelerated computing with CUDA is highly desirable. Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity startup environment. More ❯

requirements. WHAT YOU WILL BRING TO THE ROLE: Technical Skills (Essential): A passion for data reporting and analytics, with experience using data visualization tools (e.g., Google Data Studio, Looker, Tableau, Power BI). Strong Excel skills, with exposure to data querying methods (SQL etc.) Familiarity with collaboration and productivity platforms (e.g., Slack, Microsoft Suite, Google Drive, SharePoint). An enthusiasm More ❯

in business process modelling tools such as Microsoft Visio or similar Able to conduct simple data modelling Comfortable using data analysis tools like Excel, SQL, or specialised software like Tableau or Power BI Familiarity with project management software (e.g., MS Project, Jira) and collaboration tools such as MS Practical experience in Business Analysis roles, preferably with change or transformation focus More ❯

and control environments. Deep understanding of IT general controls, cyber security principles, and technology risk domains. Proven experience in risk analytics, data visualization, and reporting (e.g., using Power BI, Tableau, or similar tools). Familiarity with GRC platforms and risk data management practices. Experience in a risk management, IT audit, or cyber security role within a financial services or regulated More ❯

deep expertise in A/B testing and experimentation Advanced SQL skills and a strong ability to query and manipulate complex datasets Familiarity with data visualisation tools such as Tableau or Power BI Proven experience working with large datasets, including data cleaning and validation Excellent communication skills, with the ability to distil complex analytical insights for diverse audiences THE BENEFITS More ❯

Investment Performance, Data Analytics, or a related field. Strong understanding of Fund Administration, NAV production, and performance measurement methodologies. Expertise in building interactive dashboards using tools like Power BI, Tableau, and advanced Excel. Proven experience in automating processes with tools like Power Automate, SQL, and VBA. Knowledge of performance attribution and the analysis of investment portfolio data. Excellent communication skills More ❯

data and analytics Key Skills: 7–10 years in Data Warehousing & Analytics Expert in SQL & Python Strong AWS experience (e.g. Redshift, S3, Glue) Bonus: Finance domain, Power BI/Tableau More ❯

Data Analyst, Product Owner) within IT or data-driven environments. • Proven track record of integrating analytics into product/portfolio management processes. • Strong hands-on expertise in Power BI , Tableau , and SQL . • Experience working in agile environments and supporting cross-functional teams . • Strong communication and stakeholder management skills, including the ability to drive cultural and capability shifts. • Familiarity More ❯

data products. Strong SQL and Python skills. Hands-on experience with any cloud platform (GCP preferred, AWS or Azure fine). Confident with data visualisation tools — Power BI (or Tableau/Looker). Experience working with financial data — banking, insurance, asset management, fintech. Clear communicator, comfortable leading and peer-reviewing technical work. This role cannot sponsor. Apply below More ❯

particularly in SAP or Azure Strong analytical skills with the ability to interpret complex datasets Excellent stakeholder management and communication skills Familiarity with data visualisation tools (eg Power BI , Tableau ) Nice to have: Experience in maritime, logistics, or energy sectors; exposure to vessel tools ( RADAR , GMAS , BOSS ) or operations The client are lining up first round interviews from week commencing More ❯

Provide mentorship or line management to more junior team members. Your Skills & Experience Strong coding ability in SQL and Python . Solid experience in data visualisation (e.g. Power BI, Tableau, or similar). Proven background in applying techniques like propensity modelling, clustering, regression, and forecasting . Commercially minded with excellent stakeholder management skills. Experience leading or mentoring others is a More ❯

re Looking For Strong experience in data analysis, ideally within engineering, energy, or regulated sectors Proficient in SQL, Python (or R), and data visualisation tools like Power BI or Tableau Comfortable working with complex datasets and extracting clear insights Great communication skills — able to explain technical findings to non-technical stakeholders Passionate about using data to contribute to a cleaner More ❯

team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience More ❯