job description
Join SkyNet Worldwide Express, a leading force in the fast-growing e-commerce and courier industry, as a Pricing and Data Analyst for the Asia Pacific region. This is a unique opportunity for a dynamic professional to gain hands-on experience in a strategic role that drives business growth across one of the world’s most dynamic markets.
Based in the vibrant and culturally rich island of Bali, you’ll work remotely while collaborating with a global team to optimize pricing strategies, analyze market trends, and deliver data-driven insights that enhance competitiveness and profitability. Whether you're in Canggu, Ubud, Denpasar, or any other part of Bali, you’ll enjoy the flexibility of remote work while contributing to a high-impact role in a thriving industry.
At SkyNet, we empower our team with the tools and autonomy to make meaningful decisions. If you’re passionate about numbers, analytics, and shaping the future of logistics, this is your chance to grow with a company that’s redefining global delivery solutions.
Responsibility
- Develop and maintain pricing models for the Asia Pacific market, ensuring competitiveness and profitability.
- Conduct market and competitor analysis to identify trends, opportunities, and risks in the courier and e-commerce sectors.
- Collaborate with cross-functional teams to gather, clean, and analyze large datasets to support strategic decision-making.
- Create data visualizations and reports (e.g., dashboards, KPIs) to communicate insights to stakeholders.
- Monitor and evaluate the performance of pricing strategies, recommending adjustments based on data-driven findings.
- Automate data collection and reporting processes to improve efficiency and accuracy.
- Support ad-hoc analytical requests from regional and global teams to address business challenges.
- Stay updated on industry trends, economic factors, and regulatory changes affecting pricing in APAC.
Qualifications
- Bachelor’s degree in Economics, Finance, Mathematics, Statistics, Business Analytics, or a related field.
- 1-3 years of experience in pricing analysis, data analytics, or business intelligence, preferably in logistics, e-commerce, or a fast-paced industry.
- Proficiency in Excel (advanced functions, pivot tables) and data visualization tools like Tableau, Power BI, or Google Data Studio.
- Strong analytical and problem-solving skills with the ability to interpret complex datasets.
- Experience with SQL, Python, or R for data manipulation and analysis is a plus.
- Excellent communication skills in English (written and verbal) to present findings to non-technical stakeholders.
- Detail-oriented with a proactive approach to identifying and resolving data discrepancies.
- Ability to work independently in a remote setting while collaborating effectively with a global team.