Customer Service Data Analyst
gtecombv
| Company | gtecombv |
| Category | Data & Analytics |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 19 Sept 2025 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (teamtailor) |
Description
Founded in 2018 and headquartered in The Netherlands, GTE is on a mission to build the most efficient global direct-to-consumer infrastructure and become the world’s largest e-commerce company—powered by a collective of successful, scalable brands. By 2026, we’re aiming to achieve $500 million in revenue and operate over 50 thriving online stores worldwide. With a team of 160+ top-tier remote e-commerce professionals across the globe, we blend local brand experiences with cross-border logistics, ensuring every customer feels connected—no matter where they are. At our core, we value hard work, freedom with responsibility, constant improvement, and a mindset of positivity. We believe in building a high-performance, remote-first culture where honesty, excellence, and creativity drive everything we do—because the future of work is global, and we’re building it together. The Upsides of Working with Us 💪 Hard Work That Matters We’re surrounded by people who care deeply and give their best. We don’t settle for average—we show up, push boundaries, and aim high. That shared drive creates momentum and meaning in everything we do. 🔓 Freedom with Responsibility You have the freedom to choose how, when, and where you work—but freedom only thrives when it’s paired with ownership. We trust you to manage your time, meet your commitments, and take responsibility for your impact. 📚 Constant Improvement Growth is part of our DNA. We believe in learning, evolving, and getting 1% better every day. Whether it’s a new skill, a fresh mindset, or sharper execution—stagnation isn’t in our vocabulary. 🌞 Positivity by Default We approach people, problems, and communication with a positive mindset. That means giving the benefit of the doubt, staying constructive, and keeping energy high—even when challenges arise. 🗣️ Honesty & Transparency We believe the fastest way to move forward is through clear, honest communication. No politics. No guessing games. Just straight talk that builds trust and strengthens our team. 🏆 Excellence Is the Baseline We hold ourselves and each other to a high standard—not out of pressure, but out of pride. We care too much about what we’re building to accept "good enough." Excellence is the expectation. 🎯 Creativity Welcome Here We encourage bold ideas, fast testing, and open collaboration. Failure doesn’t scare us—comfort does. That’s why creativity is valued as a core ingredient in everything from product to process. We’re on the lookout for a Customer Service Data Analyst to join our expanding team and drive our company’s growth! The Challenge As our company continues to grow, we are in need of a Customer Service Data Analyst to analyze customer service performance metrics, identify trends, and provide actionable recommendations to enhance efficiency and customer satisfaction. We need an addition to our team who will also build an automated reporting system, collaborating with the Customer Service , Operations , and Technology teams to drive improvements in workflows and response times. Day in the Life of a Customer Service Data Analyst at GTE Analyze customer service data to identify trends and improvement areas. Develop and maintain dashboards tracking KPIs (CSAT, NPS, FCR, etc.) via Looker Studio and Power BI. Provide insights to improve service efficiency and quality. Identify gaps in support processes and suggest data-driven solutions. Support automation and AI-driven tools for customer interactions. Present findings and recommendations to stakeholders. Success Drivers in the first 90 days for this Role Develop a deep understanding of GT Ecom’s customer service processes and KPIs. Build and refine dashboards to track key customer service metrics. Identify at least three improvement opportunities based on data analysis. Present an initial rep
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