data analyst in customer service

Remobi helps businesses scale and innovate through high-performing, remote nearshore tech teams.

• Analyse live chat performance using SQL and/or Python in Databricks across structured metrics and conversational datasets;
• Identify trends, customer pain points, and behavioural patterns, translating them into actionable insights;
• Write advanced queries and data transformations to process large-scale, multi-source datasets;
• Design, build, and maintain Tableau dashboards to track KPIs and enable self-serve insights;
• Integrate conversational, operational, and customer data into a holistic view of channel performance;
• Communicate findings clearly to technical and non-technical stakeholders;
• Support OKR tracking and align metrics with product and business goals;
• Collaborate with product teams, data engineers, and data scientists to drive data-informed decisions.

• 3–5 Years of experience in Data Analytics, ideally in digital or customer-facing environments;
• Strong hands-on expertise in SQL, Python, and Databricks;
• Proven experience building dashboards in Tableau;
• Ability to work with large, complex datasets across multiple sources;
• Solid understanding of product analytics and customer journeys;
• Strong communication skills across technical and non-technical stakeholders;
• Nice to have: Experience working across multiple data sources in a large-scale, multi-channel customer service environment.

• Freelance/Contract role for 6 months;
• Genuine scope to extend the contract;
• Fully remote anywhere in Europe;
• Direct line from analysis to product and channel decisions.