1 to 25 of 66 Permanent Tableau Jobs in Central London

cloud data platforms (e.g., Azure, AWS, GCP, Snowflake). Knowledge of data governance standards, regulatory compliance, and metadata management. Experience with BI and visualization tools such as Power BI, Tableau, or Looker. Certification in data science, analytics, or cloud technologies (e.g., Microsoft, AWS, Google). Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation More ❯

in SQL AI and Machine Learning knowledge as it applies to end-to-end data production Has a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems ETL Tools – has strong knowledge of ETL tools essential for building data pipelines effectively More ❯

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 ❯

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 ❯

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 ❯

or recently graduated in Business, Data Analytics, Economics, or a related field. Strong analytical and problem-solving skills. Proficiency in Microsoft Excel; familiarity with BI tools (e.g., Power BI, Tableau) is an advantage. Excellent written and verbal communication skills. Ability to work collaboratively in a team environment. Preferred Qualifications Basic understanding of SQL or data querying. Previous internship or project 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 ❯

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 ❯

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 ❯

FOR: Proven experience in customer, marketing or retail analytics roles Strong SQL skills — confident querying large datasets from cloud data platforms Familiarity with data visualisation tools (e.g. Power BI, Tableau) Experience with customer segmentation, campaign analysis, or store-level performance analytics Strong communication and data storytelling skills — able to influence non-technical audiences Commercially minded — curious about what drives customer 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 ❯

Agreements or similar capability Familiarity with Enterprise Data Management Toolset ( Collibra , DQIM, IDQ etc.) Working knowledge of data analytics tools and technology Working knowledge of data visualization tools (e.g. Tableau, Power BI) This role is advertised Via Hays SM250806 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 ❯

testing and statistical methods (e.g. uplift modelling) Confident stakeholder manager — able to work with senior non-technical teams and influence decision-making Experience with data visualisation tools (Power BI, Tableau, or Looker) Familiarity with modern data practices — version control, Git, productionising workflows Bonus: experience with marketing automation platforms like Iterable 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 ❯

report writing skills to effectively communicate findings and recommendations Familiarity with IT systems, databases, and software applications commonly used in the industry. Exposure to tools like Excel, Snowflake and Tableau is a plus More ❯

interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses More ❯

Bring: A numerical or analytical degree (e.g. Maths, Engineering, Economics, Data Science). 2+ years’ experience in an analyst role, either agency side or clientside. Experience in PowerBI/Tableau or similar. You'll be confident building dashboards and visualising data. Practical SQL skills for custom querying (not essential to be a coder, but must be comfortable querying data sets More ❯

with frequently changing priorities Requirements: Experience in a data science role, ideally within the fraud, risk, or payments domain Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement More ❯

with frequently changing priorities Requirements: Experience in a data science role, ideally within the fraud, risk, or payments domain Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement More ❯

SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯