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13 часов назад

Data Analyst (IoT)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analyst (IoT): Analysing connected elevator, escalator and IoT equipment data to identify faults, trends and operational opportunities with an accent on SQL, data visualisation and translating technical findings into actionable insight. Focus on validating diagnostic and predictive use cases, correlating digital information with field-engineering outcomes, and supporting AI and data-driven technical services across Europe and Africa.

Location: Wythenshawe, England, United Kingdom

Company

International Technical Services supports field organisations and customers across Europe and Africa through technical expertise, connected equipment data and digital operations.

What you will do

  • 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 deliver actionable operational insight.
  • Work with technical specialists, DOC colleagues and field engineers to connect digital data with real-world equipment behaviour.
  • Evaluate DOC recommendations and field interventions, identifying what worked and why.
  • Support diagnostic, predictive, data-driven, digitalisation and AI initiatives that improve reliability, efficiency and customer outcomes.

Requirements

  • Strong analytical and problem-solving skills, with 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 reports, ideally with Power BI or comparable tools.
  • Ability to translate analytical findings into clear business or operational insight.
  • Strong communication skills and confidence working with technical and non-technical stakeholders.
  • Ability to work independently while collaborating in an international, multidisciplinary environment.

Nice to have

  • Python or similar analytical and programming capability.
  • Power BI development experience.
  • Experience with IoT or connected-device data.
  • Industrial, engineering, reliability or asset-performance analytics experience.
  • Experience with predictive analytics, machine learning or AI applications.

Culture & Benefits

  • Competitive salary with a performance-related bonus opportunity.
  • 34 days' holiday including bank holidays, plus a company pension scheme.
  • Health Cash Plan, Life Assurance Scheme and Employee Assistance Programme.
  • Access to health and wellbeing services, employee benefits and recognition schemes.
  • Ongoing technical and professional development with opportunities to work alongside engineering, digital and data specialists across Europe and Africa.
  • Career development within an international organisation.

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