Data Analytics Intern - Business Intelligence & Digital Performance

Kickstart your career in data analytics with Skite Social, a dynamic and fast-paced digital company at the forefront of business intelligence and platform performance. This Data Analytics Internship offers hands-on exposure to cutting-edge analytics tools, strategies, and methodologies in Canggu, Bali. You'll work alongside experienced professionals, gaining real-world experience and contributing to our data-driven decision-making processes.

As a Data Analytics Intern, you'll dive into our digital ecosystem, analyzing user behavior, platform performance, and market trends. You'll use industry-standard tools like Google Analytics, Tableau, and SQL to extract insights and drive strategic initiatives. This is your chance to learn from the best and make a tangible impact on our business.

Join Skite Social and be part of a team that's shaping the future of digital performance. We offer a competitive salary, a collaborative work environment, and the opportunity to grow your skills in a cutting-edge industry.

📋 Tanggung Jawab Pekerjaan

• Assist in the collection, organization, and analysis of large datasets using SQL and other data tools.
• Create and maintain data visualizations and dashboards using Tableau and other BI tools.
• Conduct data analysis to identify trends, patterns, and insights that drive business decisions.
• Support the development and implementation of data-driven strategies and initiatives.
• Collaborate with cross-functional teams to ensure data accuracy and consistency.
• Assist in the development of data models and algorithms to support business objectives.
• Participate in data quality assurance processes to ensure data integrity.
• Stay up-to-date with industry trends and best practices in data analytics.

🎓 Kualifikasi & Syarat

• Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field.
• Basic knowledge of SQL and at least one data visualization tool like Tableau or Power BI.
• Familiarity with data analysis concepts and techniques.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Proficiency in English (both written and spoken).
• Enthusiasm for learning and adapting to new technologies and methodologies.

🛠️ Keahlian

Lowongan Terkait