We're seeking a detail-oriented Customer Service Data & Process Analyst to investigate data, reporting, and process issues across customer service systems. This role combines data analysis, process improvement, and root-cause investigation to help improve operational performance and support informed business decisions.
What You'll Do
- Analyze customer service metrics, trends, and KPIs, including order volume, response times, service levels, and case activity.
- Create dashboards, reports, and insights using Excel, Power BI, SQL, or similar tools.
- Investigate data discrepancies, process breakdowns, and system-related issues across multiple platforms.
- Trace data through workflows and reports to identify root causes and recommend solutions.
- Partner with cross-functional teams to improve processes, reporting accuracy, and operational efficiency.
- Document findings, workflows, SOPs, and corrective actions.
- Support system enhancements, special projects, and continuous improvement initiatives.
What We're Looking For
- Bachelor's degree in Business, Analytics, Information Systems, or related field (or equivalent experience).
- Experience in data analysis, business analysis, reporting, or process improvement.
- Advanced Excel skills and strong analytical problem-solving abilities.
- Ability to reconcile conflicting information and draw actionable conclusions.
- Strong attention to detail, organization, and communication skills.
Preferred Qualifications
- Experience with Power BI, Tableau, SQL, Python, or related analytics tools.
- Experience building dashboards, KPIs, and operational reports.
- Familiarity with CRM, ERP, customer service, or e-commerce systems.
- Experience supporting cross-functional projects and process improvement initiatives.
Ideal Candidate
- Naturally curious and investigative
- Strong analytical and critical-thinking skills
- Able to thrive in complex environments with multiple data sources
- Collaborative and customer-focused
If you enjoy solving complex business problems, uncovering root causes, and turning data into actionable insights, we'd love to hear from you.