1 to 25 of 632 Tableau Jobs in the UK

degree in Data Science, Statistics, Computer Science, Economics, or a related Proficient in SQL and data visualisation tools such as Power BI or Tableau Practical experience in developing data warehouse solutions as part of a broader data architecture Exposure to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS

insights. Analyse datasets to uncover trends, patterns, and anomalies that inform strategic decisions. Requirements Basic knowledge of SQL and data visualisation tools (Power BI, Tableau). Proficiency in Microsoft Excel; familiarity with VBA and Macros is a plus. Strong analytical mindset with a keen eye for detail. Excellent communication

data modeling, integration, and synchronization across systems. Familiarity with digital transformation initiatives within supply chain and related functions. Proficiency in data visualization tools (e.g., Tableau, Power BI), analytics platforms, and database management systems. Exceptional leadership and communication skills, with the ability to collaborate across diverse teams and influence stakeholders

solving skills, with the ability to interpret complex data sets. Excellent communication and stakeholder management skills. Proficiency in data visualisation tools (e.g., Power BI, Tableau). Experience with data querying languages (e.g., SQL) and understanding of data structures. Knowledge of data governance, data quality, and data management best practices. Understanding

Will Have: Technical Skills: Proficiency in Python, R, or SQL for data analysis and manipulation. Data Visualization Tools: Strong experience with Power BI, Tableau, or similar tools for creating actionable visual insights. Data Management Tools: Highly competent with PowerApps, SharePoint, and Microsoft Office packages. Problem-Solving: Excellent analytical and problem

plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to explain technical topics to business audiences and translate business needs

throughout the loan lifecycle. Present insights clearly to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency

Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong attention to detail

degree in a relevant field. Technical Skills: - Proficient in Microsoft Excel (pivot tables, VLOOKUP, etc.). - Familiarity with at least one data visualisation tool (Tableau, Power BI, etc.). - Basic understanding of statistical concepts and analytical techniques. Soft Skills: - Exceptional attention to detail with a strong commitment to accuracy. - Strong

experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based data platforms (e.g., Azure, AWS) and deployment of models in a production environment. If you have the relevant experience and would

experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based data platforms (e.g., Azure, AWS) and deployment of models in a production environment. If you have the relevant experience and would

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

programming languages, including Python, R, or SQL . BI & Analytics: Strong understanding of statistical analysis, and proven proficiency with data visualization tools (e.g., Tableau, Power BI ). Tool Competency: Highly competent user of the Microsoft ecosystem, including PowerApps, SharePoint, and Microsoft Office packages . Soft Skills: Exceptional problem-solving abilities

programming languages, including Python, R, or SQL . BI & Analytics: Strong understanding of statistical analysis, and proven proficiency with data visualization tools (e.g., Tableau, Power BI ). Tool Competency: Highly competent user of the Microsoft ecosystem, including PowerApps, SharePoint, and Microsoft Office packages . Soft Skills: Exceptional problem-solving abilities

Informatica Analyst, Alteryx Designer, Python, R, Microsoft Excel VBA, SQL Basic skill in using reporting tools such as Cognos Query Studio, Power BI and Tableau Strong interpersonal skills and client oriented Self-motivated, focused, detail-oriented and able to work efficiently to deadlines are essential Reasonable Adjustments: Respect and equality

Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing, Sports. To Apply

Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing, Sports. To Apply

Skilled in problem-solving with a discovery-first mindset and a strategic approach to driving results. Proficiency in data analysis tools (e.g., SQL, Python, Tableau, PowerBI, etc.) and ability to interpret and translate complex datasets into actionable insights. Familiarity with technical concepts and proven ability to collaborate effectively with engineering

Analyst or similar role Previous experience with Dayforce (or any other HR/People System Proven experience with reporting tools such as Power BI, Tableau, SQL Solid experience in using Excel Understanding of data governance, compliance and regulatory reporting (pay, GDPR etc) Benefits include : 25 Days Holiday + Bank Holidays

analyst role, preferably within a CRM context (essential) Strong analytical and problem-solving skills. Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau). Experience with statistical analysis and A/B testing methodologies. Excellent communication and presentation skills including the ability to influence cross functional teams. Ability

/SQL for data extraction, manipulation, and validation. Hands-on experience with data analytics and visualisation tools such as Power BI, Tableau, and advanced Excel. Excellent understanding of data structures, relational databases, and data object relationships. Experience working with key finance data objects such as Chart of Accounts, General Ledger

primary responsibilities will include gathering, cleaning, and integrating data from diverse sources, developing efficient Extract, Transform, Load (ETL) procedures, and utilizing BI tools like Tableau and Power BI to create clear, impactful dashboards and reports. A deep understanding and application of advanced Excel functionalities, Power Query, and VBA will

regulated environments. A solid understanding of risk data across multiple disciplines. Proficiency in Excel, Visio, and PowerPoint; exposure to Collibra, Power BI, and Tableau is desirable. Excellent stakeholder engagement, problem-solving, and communication skills. A degree or equivalent experience in a quantitative discipline. Desirable Skills: Exposure

regulated environments. A solid understanding of risk data across multiple disciplines. Proficiency in Excel, Visio, and PowerPoint; exposure to Collibra, Power BI, and Tableau is desirable. Excellent stakeholder engagement, problem-solving, and communication skills. A degree or equivalent experience in a quantitative discipline. Desirable Skills: Exposure

cloud/on-prem solutions. Understanding of data security best practices , GDPR compliance, and governance frameworks. Strong experience with data visualization tools (Power BI, Tableau, SSRS). Knowledge of CI/CD pipelines and version control (Git). Experience with SSAS cubes, Azure-based data pipelines, and containerization technologies. Must