Data Analyst - ITS TK Elevator UK Ltd

thyssenkrupp Elevator; Wythenshawe; On-site; GBP 40,000 - 65,000; Full time

Benefits offered by this job

Competitive salary and bonus potential

34 days' holiday including bank/public

Company pension scheme

Health Cash Plan

Life Assurance Scheme

Employee Assistance Programme

Access to health and wellbeingServices

Employee benefits and recognition

Ongoing technical and professional dev

Collaboration across Europe and Africa

Career development in internationalOrg

Job summary

TK Elevator is seeking a data analytics professional to join the International Technical Services team in Manchester. You will analyse data from connected elevators, escalators and IoT systems across Europe and Africa to identify patterns and opportunities that improve reliability and customer outcomes.

Working within the Digital Operations Centre (DOC), you will develop dashboards and reporting, translate complex data for technical and non-technical stakeholders, and collaborate with field

Qualifications

• 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 effective 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 and confidence working with both technical and non-technical stakeholders.
• Attention to detail combined with the ability to understand the wider purpose behind the analysis.
• Ability to work independently while collaborating effectively within an international, multidisciplinary environment.

Responsibilities

• Analyse data from connected elevators, escalators, IoT devices and associated digital systems.
• Identify faults, recurring behaviours, trends and emerging patterns within complex equipment datasets.
• Develop dashboards, reports and analytical tools that provide clear and actionable operational insight.
• Translate complex technical data into information that can be understood and acted upon by both technical and non-technical stakeholders.
• Work closely with DOC colleagues, technical specialists and field engineers to correlate digital information with real-world equipment behaviour.
• Analyse the outcomes of DOC recommendations and field interventions, helping us understand what worked, what didn't and why.
• Support the development and validation of diagnostic, predictive and data-driven use cases.
• Identify opportunities to improve reliability, efficiency, technical support and customer outcomes through better use of data.
• Work with colleagues and stakeholders across Europe and Africa to understand different operational requirements and identify opportunities for scalable solutions.
• Contribute analytical expertise to wider ITS innovation, digitalisation and AI initiatives.
• Challenge what the data appears to tell us, ask the next question and help turn information into meaningful action.

Skills

Analytical thinking

Data analysis

SQL querying

Data visualization

Communication with stakeholders

Tools

Power BI

Python

Job description

TK Elevator’s service and maintenance operations are supported by our International Technical Services network (ITS): a global network of research centres and product experts dedicated to providing high-level technical support for our competitors’ elevators and escalators.

Join the International Technical Services (ITS) team in Manchester and help us turn connected equipment data into practical intelligence that keeps elevators and escalators moving.

Working within our Digital Operations Centre (DOC), you will analyse data from connected elevator, escalator and IoT systems across Europe and Africa, identifying patterns, trends and opportunities that can improve equipment reliability, technical decision-making and customer outcomes.

This is not simply a reporting role. You will work alongside technical specialists, field engineers, country organisations and digital teams to connect what the data tells us with what is actually happening on equipment in the field. Your analysis will help us understand faults, validate recommendations, improve diagnostic capability and continually develop how ITS uses data to support our customers and field organisations.

As our digital capability continues to evolve, you will also have the opportunity to contribute to wider analytics, predictive-maintenance, AI and digitalisation initiatives across ITS

• Analyse data from connected elevators, escalators, IoT devices and associated digital systems.
• Identify faults, recurring behaviours, trends and emerging patterns within complex equipment datasets.
• Develop dashboards, reports and analytical tools that provide clear and actionable operational insight.
• Translate complex technical data into information that can be understood and acted upon by both technical and non-technical stakeholders.
• Work closely with DOC colleagues, technical specialists and field engineers to correlate digital information with real-world equipment behaviour.
• Analyse the outcomes of DOC recommendations and field interventions, helping us understand what worked, what didn't and why.
• Support the development and validation of diagnostic, predictive and data-driven use cases.
• Identify opportunities to improve reliability, efficiency, technical support and customer outcomes through better use of data.
• Work with colleagues and stakeholders across Europe and Africa to understand different operational requirements and identify opportunities for scalable solutions.
• Contribute analytical expertise to wider ITS innovation, digitalisation and AI initiatives.
• Challenge what the data appears to tell us, ask the next question and help turn information into meaningful action.

We're looking for someone who is naturally analytical, curious and comfortable working with complexity.

You don't need to arrive knowing everything about elevators and escalators — we have plenty of technical experts who can help with that. What matters is your ability to interrogate information, recognise patterns, ask intelligent questions and communicate what you discover clearly

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 effective 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 and confidence working with both technical and non-technical stakeholders.
• Attention to detail combined with the ability to understand the wider purpose behind the analysis.
• Ability to work independently while collaborating effectively within an international, multidisciplinary environment.

Experience that would be advantageous:

• Python or similar analytical/programming capability.
• Power BI development.
• IoT or connected-device data.
• Industrial, engineering, reliability or asset-performance analytics.
• Predictive analytics, machine learning or AI applications.
• Experience working with international or geographically distributed teams.

We are interested in capability and potential as much as an exact career path. If your experience is adjacent to some of the above but you believe you can bring strong analytical thinking and curiosity to the role, we would still like to hear from you.

• Competitive salary and performance-related bonus opportunity.
• 34 days' holiday including bank holidays.
• Company pension scheme.
• Health Cash Plan, allowing claims towards eligible healthcare costs including dental, optical and physiotherapy.
• Life Assurance Scheme.
• Employee Assistance Programme.
• Access to health and wellbeing services.
• Employee benefits and recognition schemes.
• Ongoing technical and professional development.
• Opportunities to work alongside technical, engineering, digital and data specialists across Europe and Africa.
• Career development within an international organisation.