Graduate Finance Automation & Analytics Analyst

Graduate Finance Automation & Analytics Analyst

Full-Time 31500 - 38500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop automation solutions and analyse data to enhance business processes.
  • Company: Join DHL Express, a global leader in logistics and finance.
  • Benefits: Gain valuable experience, competitive salary, and opportunities for growth.
  • Other info: Collaborative environment with mentorship and career advancement opportunities.
  • Why this job: Make a real impact by improving performance through innovative finance solutions.
  • Qualifications: Recent graduates with analytical skills and a passion for finance and technology.

The predicted salary is between 31500 - 38500 £ per year.

DHL Express is seeking a Graduate Finance Process & Automation Analyst to join our Finance team in the UK.

This role offers the chance to develop technical and analytical skills while delivering automation, reporting and data analysis to improve business processes that drive performance.

You’ll work with Finance, Operations and IT teams to design and implement automation solutions, dashboards and internal tools, using Power BI, Power Automate and Microsoft 365.

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Graduate Finance Automation & Analytics Analyst employer: DHL

DHL Express is an excellent employer that fosters a dynamic work culture where innovation and collaboration thrive. As a Graduate Finance Automation & Analytics Analyst, you will benefit from comprehensive training and development opportunities, enabling you to enhance your technical skills while contributing to impactful projects. Located in the UK, our team enjoys a supportive environment that values employee growth and offers unique advantages such as access to cutting-edge technology and a commitment to work-life balance.

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Contact Details:

DHL Recruitment Team

We think you need these skills to ace Graduate Finance Automation & Analytics Analyst

Communication Skills
Problem-Solving Skills
SQL
Automation
Attention to Detail
Python
Data Engineering