Data Analyst

At TCC Global, we create innovative loyalty marketing solutions that drive customer engagement and strengthen brand loyalty for some of the world’s leading retailers. Our passionate team delivers exceptional results through precision execution, strong client partnerships, and seamless operational processes. As a Data Analyst within the Data & Analytics (D&A) department, you will sit in TCC’s client- and stakeholder-facing BI team. You will play a central role in proving TCC’s value proposition by measuring loyalty campaign ROI, analyzing the drivers of campaign performance, and translating findings into clear proof points and business insights that inform commercial and operational decisions. The role carries hands-on tasks across measurement, analysis, data pipeline building, and report development. You will partner with Marketing, Sales, and Operations to deliver insights, scale campaign measurement, support commercial proposals, and optimize campaign execution through in-store and digital channels. Working day-to-day with Power BI, Azure ML, and AI tooling, you will help shift the business toward democratized, AI-served insights — delivered faster, embedded with stakeholders, and closer to the decisions they support. The role supports the BI function within the Data & Analytics department, with the following responsibilities: • Measure and analyze campaign performance and ROI; translate results into proof points that demonstrate TCC’s value proposition, in close collaboration with Marketing. • Deliver business analyses that support commercial proposals, client conversations, and internal de-cision-making across Commercial, Delivery, and Operations. • Respond to ad-hoc analysis requests from across the business — turning open-ended questions into structured analyses with clear, timely answers. • Build and maintain Power BI reports and dashboards. • Develop and optimize data pipelines on TCC’s data platform (Azure). • Contribute to the evolution of analytical and AI-served tools (including Enterprise AI / text2sql) that put insights directly in the hands of colleagues and clients. • Use AI-assisted tooling to accelerate analysis, pipeline, and reporting work. • Support running solutions — monitor pipelines and reports in production, investigate issues, and contribute to iterative improvement. • Apply data governance standards in day-to-day work, ensuring trusted, well-documented outputs. • Participate in agile delivery ceremonies (planning, stand-ups, reviews, retrospectives) and share best practices across the team.