HMY: ESG & Data analysis internship. CONTRATO EN PRÁCTICAS ALUMNOS ESCUELA FEF

We are looking for and intern to join us in our headquarters based in our Madrid. The candidate will help in ESG & Industrial data collection and analysis while will collaborate as well with other departments in terms of data.

HMY is the international leader in global services with 360° vision and innovation for the retail industry. The trusted partner for brands & retailers who need global account management combined with local implementation.

HMY is the leader in engineering, manufacturing and assembling of furniture for retail. We offer the following services: consulting & design, site and project management, value engineering as well as technological and lighting solutions.

HMY creates efficient and attractive sales spaces, offering innovative products, services and solutions to create a unique shopping experience.

 

Requirements:

  • Strong numerical and analytical skills
  • Ability to solve problems and to set priorities
  • Excellent collaboration skills and the ability to work within diverse organizations and teams
  • Excellent Excel skills and any other BI tools/databases.
  • Motivated and willing to learn
  • Highly organised, diligent and conscientious.
  • Very strong attention to detail.
  • Interest in ESG
  • A good command of the English language
  • Industrial engineer or similar qualifications.

Details of the employment:

Location: Madrid´s office

Duration: Minimum of 6 months extensible to 12 months

About the position: TRAINEE CONTRACT

You will report into the Industrial Director:

  • Research and collect company ESG and industrial data from different sources. Entering data into excel template checking automated reports against raw data o Assist in identifying corrupt or missing historic data/documents and “backfill” with correct data
  • Support the Industrial team with maintenance of the ESG database
  • Analyze the data and present possible deviations.
  • Assist the team in using data for new reports/products.
  • Collaborate and work closely with other departments in terms of data and its analysis.