REQUIRED SKILLS & EXPERIENCE

• Proven experience as a Tableau Desktop Specialist or similar role.
• Strong portfolio of dashboard development and data storytelling.
• Deep understanding of data modeling, data cleaning, and ETL processes.
• Proficiency in advanced Tableau features including LOD, table calculations, and forecasting.
• Experience with Tableau Server and/or Tableau Cloud administration.
• Familiarity with Tableau Prep, JS API, and REST API.
• Experience working in agile environments.
• Knowledge of SQL or other data query languages.
• Familiarity with embedding Tableau in web applications.
• Excellent problem-solving skills and attention to detail.
• Typically, 5+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role.
• Proficiencies in data cleansing, exploratory data analysis, and data visualization
• Continuous learner that stays abreast with industry knowledge and technology
• Experience of other data visualisation tools beneficial

ABOUT THE ROLE

We are looking for a talented and detail-oriented Tableau Desktop Specialist to join our growing analytics team in the Newcastle or Erskine area. This is a fantastic opportunity to work on impactful data projects, transforming complex datasets into clear, actionable insights through compelling visualizations.

KEY RESPONSIBILITIES

• Design, develop, and maintain interactive Tableau dashboards and reports.
• Perform advanced data modeling, data cleaning, and data preparation using Tableau Prep.
• Create insightful visualizations using heatmaps, scatter plots, bar charts, and more.
• Implement trend lines, forecasting, and clustering techniques to uncover patterns and predictions.
• Manage and publish content to Tableau Server and Tableau Cloud environments.
• Integrate data from multiple sources using blending and joins.
• Utilize Tableau JS API and REST API for embedding and automation.
• Apply Level of Detail (LOD) expressions and table calculations to enhance analytical depth
• Solid understanding of software engineering principles and version control (e.g., Git).
• Excellent problem-solving skills and ability to work independently or in a team.
• Collaborate with cross-functional teams to integrate AI solutions into scalable products
• Ensure best practices in data engineering and contribute to architectural decisions
• Support senior team members in identifying and addressing data science opportunities.