job description
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, strategic decision-making processes, and real-world digital performance optimization.
As an intern, you’ll collaborate with cross-functional teams to transform raw data into actionable insights, helping drive business growth in Bali’s thriving tech ecosystem. Whether you’re analyzing user behavior, tracking KPIs, or visualizing trends, you’ll gain invaluable experience in a supportive, innovation-driven environment.
Ideal for ambitious students or recent graduates passionate about data, this role provides mentorship, professional development, and the chance to contribute to high-impact projects in a global marketplace.
Responsibility
- Assist in collecting, cleaning, and analyzing large datasets to identify trends and patterns.
- Support the development of dashboards and reports using tools like Google Analytics, Tableau, or Power BI.
- Collaborate with marketing and product teams to measure digital platform performance and user engagement.
- Conduct A/B testing and provide data-driven recommendations for optimization.
- Automate data processes using Python, SQL, or Excel to improve efficiency.
- Prepare weekly/monthly performance reports for stakeholders with clear, actionable insights.
- Research industry trends and competitive benchmarks to inform strategic decisions.
- Participate in brainstorming sessions to propose data-backed solutions for business challenges.
Qualifications
- Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Business Analytics, Economics, or a related field.
- Basic proficiency in Excel/Google Sheets (pivot tables, VLOOKUP, data validation).
- Familiarity with SQL, Python (Pandas, NumPy), or R is a plus.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to interpret data and communicate findings clearly to non-technical teams.
- Passion for digital platforms, social media analytics, or business intelligence.
- Self-motivated, proactive, and eager to learn in a fast-paced environment.
- Excellent written and verbal communication skills in English.