We are hiring for a Senior Data Visualisation Engineer position at our organization. Please find below the job requirements for your reference. If you are interested, kindly acknowledge this email .

Technical Expertise

• Proficiency in using data visualisation tools such as Tableau, Power BI or similar platforms
• Strong knowledge of SQL and experience with databases (SQL Server, SSAS cubes, etc.) for querying and integrating data into DV tools
• Experience with data modelling, data transformation (ETL), and working with large datasets from various sources
• Familiarity with Tableau's calculated fields and DAX (Power BI) for creating complex measures and KPIs
  
  

Job Summary

Data Visualisation (DV) Engineer to create, optimise, and maintain dynamic, data-driven dashboards and reports using tools such as Tableau, Power BI, or other similar platforms.

The ideal candidate will have a strong understanding of data visualisation best practices, experience in handling large datasets, and the ability to transform raw data into insightful, actionable visuals that support decision-making across the PA Delivery organisation.

This role also involves working closely with cross-functional teams to ensure data accuracy, optimise query performance, and provide technical support for users.

Key Responsibilities

• Data Visualisation Development
• Design, develop, and maintain interactive dashboards, reports, and visualisations that provide actionable insights.
• Work with stakeholders to understand business requirements and translate them into effective visual representations.
• Implement data storytelling techniques to make complex data understandable and impactful for business users.
• Ensure that visualisations adhere to best practices for design, usability, and performance.
• Data Integration & Optimisation
• Connect, extract, and transform data from various sources (SQL databases, SSAS cubes, etc.) to integrate into DV tools like Tableau, Power BI, or similar platforms.
• Optimise the performance of visualisations by ensuring efficient data loading, applying best practices for data filtering and aggregation.
• Troubleshoot and resolve issues related to data performance, query times, or incorrect data representation in dashboards.
• Data Quality & Accuracy
• Collaborate with the data governance and quality teams to ensure data quality and integrity across all reports and dashboards.
• Implement validation checks and audits to ensure the accuracy, consistency, and reliability of the data used in visualisations.
• Identify and resolve data discrepancies and inconsistencies in collaboration with data teams.
• User Support & Collaboration
• Provide technical support and troubleshooting for end-users of DV tools, ensuring quick resolution of issues related to dashboards and reports.
• Train and assist business users on how to leverage visualisation tools and interpret the data presented.
• Collaborate closely with business stakeholders to ensure that all visualisations meet business needs and data governance policies.
• Continuous Improvement & Innovation
• Stay updated with the latest trends and best practices in data visualisation, tools, and technologies.
• Continuously seek opportunities to improve existing dashboards, reports, and processes to enhance user experience and data insights.
• Participate in workshops and provide training on visualisation tools to enhance data literacy within the PA delivery organisation.
  
  

Key Requirements

• Data Visualisation & UX
• A strong understanding of data visualisation principles, including chart selection, colour theory, and dashboard layout best practices.
• Ability to create visually appealing, user-friendly dashboards that convey key insights effectively.
• Experience with performance optimization techniques, ensuring responsive and high-performance dashboards for end users.
  
  

Experience

• 2+ years of experience working with data visualisation tools such as Tableau or Power BI
• Experience with SQL and integrating large datasets into visualisation platforms.
  
  

Other Qualifications

• Strong analytical and problem-solving skills with a keen eye for detail.
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Ability to work both independently and as part of a collaborative, cross-functional team.
  
  

(ref:hirist.tech)