Digital Technology Specialist - Data Visualization Engineering

Overview

Design, deliver and support enterprise analytics experiences that turn trusted data into actionable business insights, working primarily in Microsoft Power BI and supporting ThoughtSpot and Tableau, with AI-enabled analytics as a key focus.

What you'll do

• Design, develop and maintain enterprise dashboards, scorecards, semantic models and analytics solutions using Power BI.
• Partner with Data Engineering teams to deliver business-facing solutions powered by Databricks and enterprise data products.
• Translate complex business requirements into intuitive visual experiences that promote adoption, self-service analytics and data-driven decision making.
• Develop reusable metrics, KPIs, semantic models and reporting standards to improve consistency and trust in enterprise reporting.
• Drive visualization best practices around user experience, accessibility, storytelling, performance and actionable insights.
• Enable and support AI-powered analytics capabilities including Power BI Copilot, ThoughtSpot Spotter, Databricks Genie and similar technologies.
• Evaluate opportunities to automate reporting, surface intelligent recommendations and reduce manual analysis through AI-assisted analytics.
• Support platform modernization initiatives, including Tableau rationalization and migration efforts to strategic analytics platforms.
• Ensure analytics solutions comply with enterprise governance, security, privacy and data quality standards.
• Troubleshoot reporting, semantic model, performance and user adoption challenges across supported visualization platforms.
• Create standards, documentation and enablement materials to accelerate adoption of enterprise analytics capabilities.

What you'll need

• Bachelor's degree in computer science, Information Technology, Data Analytics, Engineering or a related discipline.
• Minimum 5 years of experience developing enterprise analytics and visualization solutions.
• Strong hands-on experience with Microsoft Power BI, including semantic modeling, DAX, Power Query, report development, deployment and workspace governance.
• Experience with ThoughtSpot and/or Tableau development and administration.
• Strong SQL, data modeling and analytical problem-solving skills.
• Experience working with Databricks, cloud data platforms or modern Lakehouse architectures.
• Understanding of enterprise analytics governance, security and data management practices.
• Experience interacting directly with business stakeholders and converting requirements into scalable analytics solutions.

Nice to have

• Experience supporting enterprise-scale Power BI and analytics platforms.
• Familiarity with Microsoft Fabric, AI-assisted analytics and modern Data & AI architectures.
• Strong understanding of conversational analytics, natural language querying and AI-driven insight generation.
• Experience implementing or supporting capabilities such as Copilot, ThoughtSpot Spotter, Genie, Pulse or similar intelligent analytics tools.
• Passion for simplifying complex data through intuitive user experiences and compelling data storytelling.
• Strong automation mindset with the ability to identify opportunities to reduce manual reporting and drive insight generation at scale.
• Experience supporting analytics platform migrations, modernization programs and self-service analytics initiatives.
• Demonstrated curiosity about emerging AI technologies and their practical application to business intelligence and decision intelligence.
• Continuous improvement mindset focused on delivering measurable business value through data, analytics and AI.

Details

• Flexible working patterns may be available; candidates can discuss desired working options when applying.