Data Intelligence Intern
Join Henkel as a Data Intelligence Intern and be part of a dynamic team that values diversity, innovation, and collaboration. This internship offers a unique opportunity to work on cutting-edge data projects in a global environment, where your insights will drive business decisions and enhance our competitive edge. Located in the vibrant city of Denpasar, you'll have the chance to immerse yourself in a multicultural setting while contributing to Henkel's global success.
As a Data Intelligence Intern, you'll be at the heart of our data-driven operations, working closely with our data science and analytics teams. You'll gain hands-on experience with industry-leading tools like Python, R, and SQL, and you'll have the opportunity to work on real-world projects that impact Henkel's business. This is a fantastic opportunity to kickstart your career in data intelligence and make a tangible impact from day one.
๐ Tanggung Jawab Pekerjaan
- Assist in data collection, cleaning, and preprocessing using Python and SQL.
- Support data analysis tasks, including exploratory data analysis (EDA) and statistical modeling.
- Help develop and maintain data pipelines and ETL processes.
- Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
- Create data visualizations and dashboards using tools like Tableau or Power BI.
- Participate in data quality assurance and validation processes.
- Document data processes, methodologies, and findings.
- Stay updated with the latest trends and best practices in data intelligence.
๐ Kualifikasi & Syarat
- Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field.
- Strong programming skills in Python and SQL.
- Familiarity with data visualization tools like Tableau or Power BI is a plus.
- Basic understanding of statistical concepts and machine learning principles.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork skills.
- Ability to work independently and manage time effectively.
- Passion for data and a desire to learn and grow in a dynamic environment.
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang