276 to 300 of 1,205 Tableau Jobs in the UK

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 ❯

and delivering a comprehensive BI strategy and will lead a team of BI experts to design and implement scalable, self-serve analytics solutions using tools like Power BI and Tableau, enabling real-time, actionable insights across digital, CRM, and ATL marketing. We're looking for someone with strong BI and reporting experience, familiar with ATL/Digital/CRM measurement More ❯

insights to both technical and non-technical audiences. Python experience a nice to have Experience with ESPs such as SFMC, Zeta or Braze would be advantageous Visualisation tools (e.g., Tableau, Power BI or Data Studio) Why Apply? Join a highly respected luxury retail brand with a growing data function. High-impact role with exposure to senior stakeholders and strategic decision More ❯

insights to both technical and non-technical audiences. Python experience a nice to have Experience with ESPs such as SFMC, Zeta or Braze would be advantageous Visualisation tools (e.g., Tableau, Power BI or Data Studio) Why Apply? Join a highly respected luxury retail brand with a growing data function. High-impact role with exposure to senior stakeholders and strategic decision More ❯

insights to both technical and non-technical audiences. Python experience a nice to have Experience with ESPs such as SFMC, Zeta or Braze would be advantageous Visualisation tools (e.g., Tableau, Power BI or Data Studio) Why Apply? Join a highly respected luxury retail brand with a growing data function. High-impact role with exposure to senior stakeholders and strategic decision More ❯

insights to both technical and non-technical audiences. Python experience a nice to have Experience with ESPs such as SFMC, Zeta or Braze would be advantageous Visualisation tools (e.g., Tableau, Power BI or Data Studio) Why Apply? Join a highly respected luxury retail brand with a growing data function. High-impact role with exposure to senior stakeholders and strategic decision More ❯

insights to both technical and non-technical audiences. Python experience a nice to have Experience with ESPs such as SFMC, Zeta or Braze would be advantageous Visualisation tools (e.g., Tableau, Power BI or Data Studio) Why Apply? Join a highly respected luxury retail brand with a growing data function. High-impact role with exposure to senior stakeholders and strategic decision More ❯

Exposure to customer-level data, campaign performance, segmentation, or attribution analytics Working knowledge of SQL and ideally some Python Comfortable working with reporting/visualisation tools (e.g. Power BI, Tableau, or Looker) Strong communication skills and commercial mindset A keen interest in digital marketing and data-led decision making BENEFITS Salary up to £35,000 Hybrid working (London office) Excellent More ❯

engineering, or BI roles At least 1-2 years in a leadership or senior data management position Strong technical skills in SQL, Python, and data visualisation tools (e.g., Looker, Tableau) Familiarity with Google Analytics, data warehousing, and cloud-based environments Excellent analytical and problem-solving skills Strong organisational and communication abilities If you're ready to take the lead, drive More ❯

engineering, or BI roles At least 1-2 years in a leadership or senior data management position Strong technical skills in SQL, Python, and data visualisation tools (e.g., Looker, Tableau) Familiarity with Google Analytics, data warehousing, and cloud-based environments Excellent analytical and problem-solving skills Strong organisational and communication abilities If you're ready to take the lead, drive More ❯

Exposure to customer-level data, campaign performance, segmentation, or attribution analytics Working knowledge of SQL and ideally some Python Comfortable working with reporting/visualisation tools (e.g. Power BI, Tableau, or Looker) Strong communication skills and commercial mindset A keen interest in digital marketing and data-led decision making BENEFITS Salary up to £35,000 Hybrid working (London office) Excellent More ❯

Exposure to customer-level data, campaign performance, segmentation, or attribution analytics Working knowledge of SQL and ideally some Python Comfortable working with reporting/visualisation tools (e.g. Power BI, Tableau, or Looker) Strong communication skills and commercial mindset A keen interest in digital marketing and data-led decision making BENEFITS Salary up to £35,000 Hybrid working (London office) Excellent More ❯

of touchpoints weekly) Strong analytics background – able to manipulate and interrogate data Hands-on with tools like SQL , Excel , Python/R Exposure to data visualisation tools (Power BI, Tableau, etc.) Collaborative mindset and a strategic view of how data can drive performance 📅 Interview Process: Initial 30-min call with HR Final stage: On-site interview with the leadership team 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 ❯

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 ❯

ensure data is accurate and actionable Skills & Experience Required Proven experience in a data and insight-focused role Strong proficiency in SQL and Excel Experience with Power BI or Tableau (preferred) Confident with numerical analysis and strategic thinking Strong communication skills with the ability to engage and influence stakeholders Ability to turn complex data into simple, meaningful insight Experienced developing 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 ❯

Hands-on experience building production data pipelines, coding transformations (e.g., dbt), and implementing data quality controls Familiarity with version control (Git), CI/CD concepts, and BI tools (e.g., Tableau) Experience handling large, inconsistent, or non-standard datasets with attention to accuracy and detail Understanding of medallion architecture and related data concepts Knowledge of ML or LLM applications, front-end More ❯

Hands-on experience building production data pipelines, coding transformations (e.g., dbt), and implementing data quality controls Familiarity with version control (Git), CI/CD concepts, and BI tools (e.g., Tableau) Experience handling large, inconsistent, or non-standard datasets with attention to accuracy and detail Understanding of medallion architecture and related data concepts Knowledge of ML or LLM applications, front-end More ❯

intelligence tools and systems. Stay updated on the latest BI technologies and suggest relevant implementations. Profile A successful Business Intelligence Analyst should have: Proficiency in BI tools such as Tableau, Power BI, or similar platforms. Strong skills in SQL and data manipulation. Alteryx and Teradata is highly desirable Experience within the retail industry or a similar fast-paced environment. Excellent More ❯

intelligence tools and systems. Stay updated on the latest BI technologies and suggest relevant implementations. Profile A successful Business Intelligence Analyst should have: Proficiency in BI tools such as Tableau, Power BI, or similar platforms. Strong skills in SQL and data manipulation. Alteryx and Teradata is highly desirable Experience within the retail industry or a similar fast-paced environment. Excellent More ❯

Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, AWS). Experience implementing and refining data/AI analytics tools to automate internal audit processes. Proficiency in analytics tools such as Alteryx, Tableau, Power BI, Databricks, Snowflake, SQL, or similar. This is a standout opportunity to join a highly respected firm and play a central role in advancing their digital audit capabilities. For More ❯

visualisation tools Analyse marketing campaign performance (MMM, attribution, ROI) Support commercial strategy through segmentation and customer insights What We're Looking For Strong SQL and data visualisation skills (e.g. Tableau, Power BI) 3+ years in marketing or commercial analytics Experience with campaign analysis and business performance insight Excellent communication and stakeholder management Bonus: Python experience or a consulting background Why More ❯

Skills in designing intuitive dashboards or user interfaces, particularly for DQ dashboards or exception reporting. Data Visualisation & Reporting Tools:Experience with tools like Power BI, Oracle BI Publisher, or Tableau for representing data profiling results. Scripting/Automation:Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts:Helps in More ❯

Skills in designing intuitive dashboards or user interfaces, particularly for DQ dashboards or exception reporting. Data Visualisation & Reporting Tools: Experience with tools like Power BI, Oracle BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in More ❯