About this role

Build end-to-end analytics of CS processes across customer requests.
Own core process metrics: repeated contacts, cost, full handling time, escalation rate, backlog, aging, SLA, and time in each stage.
Build dashboards, datasets, and reports that help CS leadership, team leads, Product, and Operations identify where the process breaks.
Translate business problems into analytical and technical requirements for better logging, CRM structure, and process design.
Step in beyond your scope when needed — we value ownership over rigid roles.

2–3+ years of hands-on experience in data analytics.
Organized, reliable, and able to manage multiple priorities independently.
Strong SQL skills and analytical thinking.
Ability to document metric logic, assumptions, data sources, and limitations.
Strong English communication skills for working with both business and technical stakeholders.
Degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, Economics, or a related field.
Experience with operational, Customer Service (CS), CRM, or process analytics data.
Experience using Python or pandas for ad hoc analysis, validation, and data preparation.
Experience with statistical analysis is a plus, but not the main focus of the role.

Data Analyst – Customer Service

Key skills