At a Glance
- Tasks: Analyse data from elevators and IoT devices to identify trends and improve reliability.
- Company: Join TK Elevator's innovative International Technical Services team in Manchester.
- Benefits: Enjoy competitive salary, 34 days holiday, health cash plan, and career development opportunities.
- Other info: Collaborate with international teams and contribute to exciting AI and digitalisation projects.
- Why this job: Make a real impact by turning complex data into actionable insights for better customer outcomes.
- Qualifications: Strong analytical skills, experience with SQL, and ability to communicate findings clearly.
The predicted salary is between 36900 - 45100 £ per year.
- Analyse data from connected elevators, escalators, Io T 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.
- What We Expect
- Analyse data from connected elevators, escalators, Io T 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.
Who We Are Looking For
We're looking for someone who is naturally analytical, curious and comfortable working with complexity.
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.
- Io T 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.
What We Offer
- 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.
Who we are
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 Io T 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
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Data Analyst - ITS employer: TK Elevator
As a Health, Safety Environmental and Quality Manager at our London-based Infrastructure division, you will thrive in a dynamic work culture that prioritises safety, compliance, and continuous improvement. We offer competitive salaries, generous holiday allowances, and a range of benefits including a health cash plan and enhanced family leave provisions, all designed to support your well-being and professional growth. Join us to be part of a team that values transparency, entrepreneurship, and the opportunity to make a meaningful impact on urban mobility.
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We think this is how you could land Data Analyst - ITS
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We think you need these skills to ace Data Analyst - ITS
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
