
Data Analyst – Customer Service
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in Kazakhstan.
• Develop comprehensive analytics for Customer Service (CS) processes related to customer inquiries.
• Take ownership of key process metrics including repeated contacts, costs, total handling time, escalation rates, backlog, aging, Service Level Agreement (SLA), and duration at each stage.
• Create dashboards, datasets, and reports that enable CS leadership, team leads, Product, and Operations to pinpoint process breakdowns.
• Convert business challenges into analytical and technical specifications to enhance logging, CRM architecture, and process design.
• Be willing to go beyond your defined role when necessary — we prioritize ownership over strict job descriptions.
• 2–3+ years of practical experience in data analytics.
• Highly organized, dependable, and capable of independently managing multiple priorities.
• Proficient in SQL and possess strong analytical skills.
• Skilled in documenting metric logic, assumptions, data sources, and limitations.
• Excellent English communication abilities for collaboration with both business and technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, Economics, or a related discipline.
• Experience in operational, Customer Service (CS), CRM, or process analytics data.
• Familiarity with Python or pandas for ad hoc analysis, validation, and data preparation.
• Background in statistical analysis is advantageous, but not the primary focus of this position.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and career advancement.
• Flexible work hours and remote work options.
• Comprehensive health insurance and wellness programs.
• Collaborative and inclusive company culture.
Hopper
Infomineo
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