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16 часов назад

Consultant (Automotive)

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

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TL;DR

Consultant (Automotive): Managing and delivering bespoke consulting projects and data-driven solutions with an accent on market intelligence, client relationship management, and analytical storytelling. Focus on analyzing large datasets, developing commercial applications for data assets, and supporting the sales process for consulting services.

Location: Leeds

Company

hirify.global is a global leader in vehicle lifecycle management software and data-driven solutions.

What you will do

  • Manage and deliver bespoke consulting projects from specification to final presentation.
  • Analyze large datasets to identify key trends and provide actionable recommendations.
  • Collaborate with internal stakeholders to integrate data assets into consulting solutions.
  • Build and maintain relationships with clients across the automotive sector.
  • Support sales teams in scoping projects, assessing requirements, and establishing pricing.
  • Develop high-quality presentations and reports for stakeholders up to Board level.

Requirements

  • Typically 2 years of experience in analytics, business intelligence, or data-focused consulting.
  • Strong proficiency in Excel and SQL for data manipulation.
  • Experience with visualization tools such as Power BI or Tableau.
  • Proven ability to simplify complex data and communicate insights effectively.
  • Strong strategic thinking and entrepreneurial spirit.
  • Ability to work collaboratively within a high-performing team.

Nice to have

  • Exposure to the automotive industry.
  • Experience with data management tools or Salesforce.
  • Background in implementing data intelligence solutions.

Culture & Benefits

  • Opportunity to work on varied, high-impact projects.
  • Exposure to senior-level stakeholders and Board-level interactions.
  • Collaborative environment focused on innovation and commercial application of data.
  • Professional development within a global organization.

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