Data Analyst - ITS

Role overview

Responsibilities

• Analyse data from connected elevators, escalators, IoT devices, and associated digital systems.
• Identify faults, recurring behaviours, trends, and emerging patterns in complex equipment datasets.
• Develop dashboards, reports, and analytical tools that provide actionable operational insight.
• Translate technical findings for technical and non-technical stakeholders.
• Work with Digital Operations Centre colleagues, technical specialists, and field engineers to relate digital information to real-world equipment behaviour.
• Assess outcomes of Digital Operations Centre recommendations and field interventions.
• Develop and validate diagnostic, predictive, and data-driven use cases.
• Identify opportunities to improve reliability, efficiency, technical support, and customer outcomes through data.
• Work with stakeholders across Europe and Africa to understand operational needs and identify scalable solutions.
• Contribute analytical expertise to innovation, digitalisation, and AI initiatives.

Essential experience and capability

• Strong analytical and problem-solving skills.
• Experience working with complex datasets in a Data Analyst, Operational Analyst, Engineering Analyst, or similar role.
• Experience using SQL to interrogate and analyse data.
• Experience developing data visualisations and reporting, ideally using Power BI or comparable tools.
• Ability to translate analytical findings into clear business or operational insight.
• Strong communication skills with technical and non-technical stakeholders.
• Attention to detail and ability to understand the wider purpose behind analysis.
• Ability to work independently and collaborate in an international, multidisciplinary environment.

Advantageous experience

• Python or similar analytical/programming capability is advantageous.
• Power BI development, IoT or connected-device data, industrial, engineering, reliability or asset-performance analytics are advantageous.
• Predictive analytics, machine learning or AI applications, and experience with geographically distributed teams are advantageous.

Team context

Benefits

• Benefits include holiday, pension, health cash plan, life assurance, employee assistance, wellbeing services, development, and career opportunities.
• The posting describes salary as competitive and mentions a performance-related bonus opportunity; no compensation cadence or amount is stated.