Practicante Pre-Data Analytics - Cobranzas (Híbrido)

Practicante Pre-Data Analytics - Cobranzas (Híbrido)

Internship No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Generate reports, manage data, and analyse inconsistencies in a dynamic team.
  • Company: Join Marsh, a leader in data analytics with a diverse and inclusive culture.
  • Benefits: Hybrid work model, professional growth opportunities, and a supportive environment.
  • Other info: Perfect for Industrial Engineering, Administration students, or related fields.
  • Why this job: Kickstart your career in data analytics and make a real impact.
  • Qualifications: Intermediate English, advanced Excel, Python, and Power Apps/Automate skills required.

Marsh está buscando un Practicante Pre-profesional para unirse al equipo de Cobranzas en analítica de datos. La posición es híbrida y está abierta para estudiantes de Ingeniería Industrial, Administración, o disciplinas afines.

Las responsabilidades incluirán:

  • Generación de reportes
  • Gestión de datos
  • Análisis de inconsistencias

Se requiere inglés intermedio y habilidades avanzadas en Excel, Python y Power Apps/Automate.

Marsh promueve un ambiente laboral inclusivo y diverso, buscando atraer a talentos variados.

Practicante Pre-Data Analytics - Cobranzas (Híbrido) employer: Dormont Manufacturing Co

Marsh is an excellent employer that fosters a diverse and inclusive work environment, making it an ideal place for students to gain hands-on experience in data analytics. With a hybrid work model, employees enjoy flexibility while benefiting from opportunities for professional growth and development in a supportive team atmosphere. Joining Marsh means being part of a forward-thinking company that values innovation and collaboration.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Practicante Pre-Data Analytics - Cobranzas (Híbrido)

Join Data-Science Meetups

Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.

Utilise University Career Services

Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.

Show Off Your Stuff on GitHub

If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.

Apply Directly on Our Website

Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.

We think you need these skills to ace Practicante Pre-Data Analytics - Cobranzas (Híbrido)

Data Analytics
Report Generation
Data Management
Inconsistency Analysis
Intermediate English
Advanced Excel
Python

Some tips for your application 🫡

Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!

Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Dormont Manufacturing Co will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!

Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!

Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!

How to prepare for a job interview at Dormont Manufacturing Co

Brush Up on Your Coding Skills

As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.

Show Off Your Projects

Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Dormont Manufacturing Co.

Know Your Stats and ML Basics

Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.

Be Eager to Learn and Adapt

Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Dormont Manufacturing Co that you’re not just looking for experience, but that you're keen to contribute and grow within the team.