1 to 25 of 77 Tableau Jobs in the City of London

large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and More ❯

quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used for statistical forecasting (e.g., R, Python More ❯

Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have More ❯

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 certifications related to More ❯

Strong knowledge of integration patterns and authentication protocols. Knowledge of DevOps tools. Familiarity with the finance industry is a plus. Experience with ETL tools and data visualization platforms (e.g., Tableau, Power BI). Knowledge of programming languages (e.g., Python, Apex) for data manipulation and automation. Familiarity with cloud computing concepts and technologies. More ❯

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 must have worked in More ❯

control Excellent problem-solving and communication skills A proactive, self-directed mindset and comfort working in a small, dynamic team Bonus Points For: Experience with dashboarding tools (Power BI, Tableau, Streamlit) Exposure to Linux scripting or workflow orchestration Understanding of financial markets or investment operations Why Apply? Join a tight-knit, high-performing team where your work has direct impact More ❯

and Git . Excellent analytical, communication, and problem-solving skills. A proactive, curious mindset and a willingness to take initiative. Desirable Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit). Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect). Exposure to financial markets , asset management, or consulting environments. This role would suit someone who is technically More ❯

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 describe complex technical More ❯

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 analytical mindset with excellent problem-solving More ❯

improvement of analytics tools and methods. Essential Skills & Experience: Proven experience as a Data Analyst (preferably within financial services or a related sector). Strong proficiency in SQL and Tableau (or similar BI tools). Good working knowledge of Python for data manipulation and analysis. Experience working with cloud platforms (Azure or AWS). Desirable Skills: Knowledge of ETL processes More ❯

IT skills. Skilled in building SQL queries and using Python for data analysis, aggregation, and automation. Experienced in developing dashboards and reports using BI tools such as Power BI, Tableau, or DOMO. Adept at gathering and interpreting digital and social media data to support commercial decision-making. Familiar with integrating and analysing data via APIs, Salesforce (Sales and Marketing Cloud More ❯

cardinality, and data quality issues. Ability to communicate complex and technical topics in a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language such as Python or R or a keen desire to More ❯

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 financial services Proven track More ❯

in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into clear, actionable business recommendations. Excellent communication and stakeholder management skills. Prior exposure to insurance or claims environments, ideally within the More ❯

processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data Engineer Associate. Advantageous skills: Azure Event Hubs, Kafka, data visualisation tools, Power BI, Tableau, Azure DevOps, Docker, Kubernetes, Jenkins. More ❯

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 cloud-based data infrastructure (AWS/GCP More ❯

related field . Strong hands-on analytics experience , including working with millions of rows of data . 3+ years of demonstrable proficiency in SQL, Python, and Power BI/Tableau Experience in data management, governance, cleansing, and engineering . Interest in AI/GenAI technologies . Comfortable in a sole contributor role with full end-to-end data responsibility. Articulate More ❯

for data privacy, compliance, and security. Skills & Qualifications: Essential 7+ years' experience in Adobe Data Collection and Analytics, with strong skills in HTML, CSS, JavaScript, Excel, and data visualization (Tableau, PowerBI). Ability to work independently, design solutions, write technical documentation, QA, and troubleshoot data collection code in complex environments using tag management systems. Strong analytical, problem-solving, and project More ❯

with senior technical and business stakeholders. Enterprise Data Modelling: 3–5 years using ERwin, ER/Studio, Power Designer, or similar. BI/Reporting Tools: Familiarity with Power BI, Tableau, or Qlik. Certifications: Preferred – Cloud certifications in Azure, AWS, or GCP. What’s on Offer Competitive salary with generous bonus Private healthcare and critical illness cover Life assurance (4x annual More ❯

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 would be desirable Please see attached Job Description and More ❯

operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes, APIs, and database management. Experience with analytics tools (e.g., Google Analytics, Tableau, Power BI) and CRM systems. Familiarity with data privacy regulations (e.g., GDPR, CCPA) and best practices in data governance. Excellent problem-solving, communication, and project management skills. What’s in More ❯

knowledge of Agile Scrum methodology and ability to manage Agile teams. Knowledge of data mining and analytics application an (SAS, SQL, Python) and visualisation tool such as (Power BI, Tableau, Qlik) Understanding of requirements under Basel II, III, IV as well as well as best practices for Data Governance and management. More ❯

DAMA, DCAM, ISACA ) Hands-on experience with data and AI platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. More ❯

production-grade pipelines in 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. More ❯