StellarTech, a fast-growing international product IT company, is looking for an experienced Customer Care Analyst to join our ITS Service Unit for Customer Care Department needs. In this role, you will be building a powerful analytical function within Customer Care that provides a clear, systematic understanding of the Voice of the Customer, helps reduce team workload through data-driven automation and directly impact revenue by feeding insights on how to reduce refunds, cancellations, and negative sentiment.
What You’ll Do
Voice of the Customer & Tagging System
Audit the existing Zendesk tagging structure.
Develop and implement a new tagging system that answers: “What are our customers talking about, and how does it affect our product?”
Ensure the tagging system enables tracking of trends, topics, and pain points to produce actionable reports.
Automation & Workload Reduction
Analyze all incoming communications (Customer Support + Tech Support).
Identify the top use cases for automation (high ROI on workload reduction).
Provide regular insights and quick-win recommendations to the AI/Automation team.
Product & Technical Issues
Investigate support tickets to find recurring errors or bugs that generate the most volume.
Prioritize product fixes that can significantly reduce contact rates.
Refunds, Cancellations & Revenue Impact
Research the reasons behind refunds and cancellations.
Propose product and policy changes with a projected economic impact (e.g., “Changing X could save €Y and retain Z customers”).
Tone of Voice & Customer Sentiment
Analyze customer communications to understand how tone and style influence CSAT, sentiment, and retention.
Recommend improvements to tone of voice, templates, and response scripts.
Community & Reputation Insight
Balance revenue-saving initiatives with brand reputation and community trust considerations.
Data Infrastructure & AI
Work with KPI dashboards (e.g., Superset).
Maintain and enhance reporting systems.
Use AI and NLP tools for large-scale text analysis (Zendesk tickets, chat logs, reviews, etc.).
What We’re Looking For
Why You'll Love Working With Us
We’re waiting for your CV
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