76 to 100 of 1,285 Tableau Jobs in the UK

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 ❯

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 ❯

TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech, or software product 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 ❯

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 ❯

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 ❯

identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using Excel, Power BI, Tableau, or similar tools. Manage relationships with external lead generation partners. Collaborate with cross-functional teams to deliver data-driven solutions. Profile Degree in relevant subject (Data Science, Statistics, Economics or 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

data related consultancy company · Proficiency in analytical programming language such as python and/or SQL · Understanding of relational databases and concepts for querying data · Proficiency in tools like Tableau, and/or Power BI · Commercial acumen · Ability to translate high-level business questions and objectives into analytical tasks · Creates robust project plans working backwards from deadlines with all necessary More ❯

People Analytics Data Engineer to ensure data architecture aligns with dashboard requirements and business needs. Support the migration, and maintenance of People Analytics dashboards across multiple visualisation platforms including Tableau, Power BI, and SAP Analytics Cloud (SAC). Help establish and maintain data quality standards, validation procedures, and governance protocols across people-related datasets. Lead UAT processes for dashboard implementations More ❯

Proficiency in SQL and Python Experience analyzing large, complex datasets, preferably cloud-based Knowledge of statistical and data science techniques (e.g., forecasting, regression, clustering) Experience with Data Visualization tools (Tableau preferred, Power BI, Looker) Degree in a numerate subject (Math, Statistics, Economics, etc.) 1-2 years' experience in a data analyst or similar role in a fast-paced environment Who More ❯

the market. Upon successful completion, learners will be awarded the Data Analyst Level 4 apprenticeship. Tools and technologies learned: Learners will learn to use visualisation tools such as (PowerBI, Tableau), SQL Server, SSIS, Python and R programming languages, and Cloud Technologies such as: Azure, AWS, GCP. Potential for a permanent position following the successful completion of your apprenticeship. Apprenticeship Standard More ❯

outcomes of NSS, TEF and Graduate Outcome Surveys. What Experience/Skills are required: A good degree in a numerate subject Prior use and understanding of Power BI or Tableau is essential. Previous experience with data analysis. Detailed knowledge of statistical techniques and research methodologies. Experience in presenting data and providing insights via interactive dashboards or presentations. Experience with R More ❯

outcomes of NSS, TEF and Graduate Outcome Surveys. What Experience/Skills are required: A good degree in a numerate subject Prior use and understanding of Power BI or Tableau is essential. Previous experience with data analysis. Detailed knowledge of statistical techniques and research methodologies. Experience in presenting data and providing insights via interactive dashboards or presentations. Experience with R More ❯

outcomes of NSS, TEF and Graduate Outcome Surveys. What Experience/Skills are required: A good degree in a numerate subject Prior use and understanding of Power BI or Tableau is essential. Previous experience with data analysis. Detailed knowledge of statistical techniques and research methodologies. Experience in presenting data and providing insights via interactive dashboards or presentations. Experience with R More ❯

outcomes of NSS, TEF and Graduate Outcome Surveys. What Experience/Skills are required: A good degree in a numerate subject Prior use and understanding of Power BI or Tableau is essential. Previous experience with data analysis. Detailed knowledge of statistical techniques and research methodologies. Experience in presenting data and providing insights via interactive dashboards or presentations. Experience with R More ❯

verbal and written communication skills, with the ability to present complex findings to both technical and non-technical audiences. Data Visualization: Familiarity with data visualization tools like PowerBI, Looker, Tableau, QlikView, or others. Educational Background: A higher degree in statistics, mathematics, or another technical field. Language Skills: Proficiency in spoken and written English. More ❯

related Exceptional reporting and analytics skills High level of proficiency with Microsoft Suite (Excel, PPT, Teams, Outlook) Mastery of PowerBI and ideally knowledge of other data visualisation tools e.g. Tableau, PowerBI, other Familiarity with SQL Natural drive for continuous improvement and operational excellence High-level of attention to detail, creativity, and problem-solving skills Ability to communicate confidently and clearly More ❯

relation to commission and incentive scheme processing. Ability to operate in an environment of change and ambiguity, setting clear direction and structure. Familiarity with tools such as Power BI, Tableau, SQL, Python or equivalent. Desirable: Experience in regulated industries or complex, multi-stakeholder B2B environments. About Us What's in it for you... Healthcare plan, life assurance and generous pension More ❯

Demonstrated proficiency in Python/R or other tools for advanced analysis and Machine Learning. Business Intelligence & Visualization: Extensive skills in leading BI tools such as Power BI (preferred), Tableau, or Looker Studio. E-commerce and Digital Marketing Platforms: Strong experience analysing e-commerce data and evaluating performance across various digital marketing channels (e.g., SEO, PPC, CRM). Experience with More ❯

and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning More ❯