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описание
TCC Global creates innovative loyalty marketing solutions that drive customer engagement and strengthen brand loyalty for leading retailers. Its Data & Analytics team measures loyalty campaign ROI, analyzes campaign performance, and delivers business insights through BI, data pipelines, and AI-served tools.
задачи
Measure and analyze campaign performance and ROI, translating results into proof points that demonstrate TCC’s value proposition in collaboration with Marketing;
Deliver business analyses supporting commercial proposals, client conversations, and internal decision-making across Commercial, Delivery, and Operations;
Respond to ad-hoc analysis requests by 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 Azure data platform;
Contribute to analytical and AI-served tools, including Enterprise AI and text2sql;
Use AI-assisted tooling to accelerate analysis, pipeline, and reporting work;
Monitor pipelines and reports in production, investigate issues, and contribute to iterative improvement;
Apply data governance standards to ensure trusted, well-documented outputs;
Participate in agile delivery ceremonies and share best practices across the team.
требования
1–2 Years of experience in a Data Analyst, BI Analyst, or similar role;
Hands-on experience in performance or campaign analysis and dashboard development;
Strong skills in SQL, Python, statistics, Power BI, DAX, and data modelling;
Experience with cloud-based data environments, preferably Azure;
Ability to turn complex data into actionable business insights;
Effective communication with technical and non-technical stakeholders;
Comfortable working in agile, fast-paced, cross-functional environments;
Experience using AI-assisted tools to improve analysis and reporting workflows;
Fluent English;
Nice to have: Exposure to Azure AI Foundry and modern AI/data platforms, experience in retail, loyalty, marketing, or campaign analytics, Dutch, Spanish, Portuguese, or German, curiosity for emerging AI tooling and continuous learning across the data and AI stack, practical experience with data pipelines, ELT/ETL processes, testing, data quality practices, Git, and code reviews.
условия
Competitive salary and annual bonus;
Opportunities for growth and professional development;
A dynamic and supportive work environment where ideas matter.