Credit and Collections Intern
Panama City - Torre V
Signify
Signify ist Weltmarktführer für vernetzte LED-Beleuchtungssysteme sowie Software und Dienstleistungen im Beleuchtungsbereich. Wir nutzen das außerordentliche Potenzial von Licht, um für ein angenehmeres Leben und eine bessere Welt zu sorgen.Job Title
Credit and Collections InternJob Description
We are looking for an Intern to join our Credit and Collections team in Panama!
Data Analyst Job Description:
We are seeking a motivated and detail-oriented Data Analyst Intern to join our team. The ideal candidate will assist in analyzing and interpreting data to provide insights and support decision-making. This internship will provide valuable hands-on experience in data analysis and exposure to real-world business applications.
Working for Signify means being creative and adaptive. Our culture of continuous learning and commitment to diversity and inclusion creates an environment that allows you to develop your skills and your career. Together, we are transforming our industry.
As the world leader in lighting, we are constantly ahead of the curve. Through our leadership in connected lighting and the Internet of Things, we are breaking new ground in data analytics, offices, smart cities, and more!
Signify is one of the few companies in the world to achieve carbon neutrality and our next sustainability goals are even bolder: doubling our positive impact on the environment and society by 2025.
We are looking for innovative people with a vision of the future and a passion for sustainability. If you match this description, get in touch!
What you willl do:
Responsibilities:
- Collect, clean, and preprocess data for analysis
- Perform data analysis and create visualizations to present findings
- Assist in identifying trends, patterns, and correlations in data
- Collaborate with team members to develop data-driven solutions
- Support the development and maintenance of data models and databases
- Prepare reports and present findings to stakeholders
Requirements:
- Currently pursuing a degree in Data Science, Statistics, Computer Science, or related field
- Strong analytical skills and attention to detail
- Proficiency in software automation and data analysis tools such as Excel, SQL, Power BI, Power Automate or Python
- Excellent communication and teamwork skills
- Ability to work independently and meet deadlines
- Prior experience with data analysis or relevant coursework is a plus
Benefits:
- Hands-on experience in data analysis and business intelligence
- Mentorship from experienced data analysts and professionals
- Opportunity to work on real projects and make an impact
- Networking opportunities within the company and industry
- Potential for future full-time employment opportunities
If you are passionate about data analysis and eager to learn, this internship could be the perfect opportunity for you to gain valuable skills and experience in the field. Apply now to join our dynamic team and contribute to our data-driven decision-making processes.
Everything we’ll do for you
You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 30,000+ people.
We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce representing 99 nationalities, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.
We’re committed to the continuous development of our employees, using our learning to shape the future of light and create a sustainable future.
See #SignifyLife through the eyes of our employees!
Tags: Business Intelligence Computer Science Data analysis Data Analytics Excel Power BI Python SQL Statistics
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.