- Company Name
- Starling Bank
- Job Title
- Service Data Analyst - Engine by Starling
- Job Description
-
Job title: Service Data Analyst – Engine by Starling
Role Summary:
Drive service performance transparency and service-level agreement (SLA) compliance by collecting, cleaning, and analysing operational data from ticketing, monitoring, and internal systems. Convert data into actionable insights, maintain consistent metrics, and support continuous improvement initiatives across the Service Management function.
Expectations:
- Own the end‑to‑end service data pipeline and reporting.
- Ensure all metrics are clearly defined, accurate, and auditable.
- Deliver data‑backed recommendations that improve reliability, efficiency, and customer satisfaction.
- Collaborate cross‑functionally with engineering, product, and client‑facing teams.
Key Responsibilities:
- Collect and cleanse service data from ticketing, monitoring, and other internal systems.
- Analyse incidents, changes, requests, and SLA trends to identify root causes and recurring patterns.
- Build and maintain dashboards (Power BI, Looker, Confluence) for leadership and clients.
- Monitor API performance and availability, escalating deviations to prevent SLA breaches.
- Define and enforce consistent KPIs, metrics, and reporting standards for the service desk.
- Produce regular (ad‑hoc, weekly, monthly, quarterly) SLA, change success, performance, availability, and customer‑satisfaction reports.
- Partner with internal teams to conduct root‑cause and trend analyses.
- Identify and recommend process automation and workflow optimisation opportunities.
- Support Service Improvement Plans (SIPs) and track post‑implementation impact.
- Maintain data integrity across multiple platforms; document data sources, definitions, and methodologies.
- Provide insights for client service reviews, executive reporting, governance reviews, and audits.
Required Skills:
- Strong analytical capability with advanced knowledge of data interpretation and storytelling.
- Proficiency in data query and manipulation (SQL, data transformation).
- Experience with BI tools (Power BI, Looker, etc.) and dashboard creation.
- Familiarity with ITSM ticketing systems and service‑monitoring tools.
- Excellent written and verbal communication; ability to explain technical insights to non‑technical audiences.
- Detail‑oriented with rigorous data quality assurance practices.
- Ability to work independently, take ownership, and drive cross‑functional initiatives.
Required Education & Certifications:
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field, or equivalent professional experience.
- Optional certifications in data analytics (e.g., Microsoft Certified: Data Analyst Associate, Power BI), IT Service Management (ITIL), or related areas.