Analytics Engineer, Sales Finance Data Apps (EMEIA)

Analytics Engineer, Sales Finance Data Apps (EMEIA)

Full-Time 55000 - 60000 Β£ / year (est.) No working from home possible
Apple Inc.

At a Glance

  • Tasks: Build data applications and web interfaces using Python frameworks like Streamlit.
  • Company: Join Apple in London, a leader in innovation and technology.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on creativity and collaboration.
  • Why this job: Make an impact by streamlining financial analysis and collaborating with top talent.
  • Qualifications: Experience in data applications and a passion for analytics.

The predicted salary is between 55000 - 60000 Β£ per year.

Apple in London is seeking an EMEIA Sales Finance Analytics Engineer to build data applications and lightweight web interfaces using Python frameworks like Streamlit. This hands-on role focuses on streamlining financial analysis, reporting, and decision-making with data pipelines, UI/UX-minded self-service tools, and collaboration with analysts across the organisation.

You will partner with data scientists and engineers to translate complex financial processes into technical specifications.

Analytics Engineer, Sales Finance Data Apps (EMEIA) employer: Apple Inc.

As a leading employer in the construction sector, our company is dedicated to fostering a supportive and collaborative work environment where employees can thrive. With a strong focus on employee well-being and long-term career development, we offer numerous opportunities for growth and advancement, ensuring that our team members feel valued and engaged. Located in a vibrant area with access to diverse projects, our workplace culture promotes innovation and teamwork, making it an ideal setting for experienced professionals seeking meaningful and rewarding employment.

Apple Inc.

Contact Details:

Apple Inc. Recruitment Team

We think you need these skills to ace Analytics Engineer, Sales Finance Data Apps (EMEIA)

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Automation
Data Pipeline Development