job description
Join a dynamic team as a Data & Analytics Coordinator and play a pivotal role in transforming raw data into actionable insights. This remote position based in Bali offers the opportunity to collaborate with a U.S.-aligned team, leveraging cutting-edge AI tools to drive business growth. You’ll design and maintain interactive dashboards for sales, inventory, and advertising performance, ensuring stakeholders have real-time access to critical metrics.
Ideal for analytical minds with a passion for data visualization and strategic decision-making, this role bridges the gap between technical expertise and business impact. Work in a flexible, results-driven environment while contributing to scalable solutions that shape the future of data-driven operations.
Responsibility
- Develop and maintain interactive dashboards (e.g., Power BI, Tableau) for sales, inventory, and digital advertising performance.
- Align reporting frameworks with U.S. team standards to ensure consistency and accuracy across global operations.
- Utilize AI-powered analytics tools (e.g., Python, SQL, or predictive modeling) to identify trends, anomalies, and growth opportunities.
- Automate data collection and reporting processes to improve efficiency and reduce manual errors.
- Collaborate with cross-functional teams to translate data insights into actionable business strategies.
- Monitor KPIs and present findings to stakeholders through clear, visually compelling reports.
- Optimize data pipelines and ensure data integrity across all systems.
- Stay updated on emerging analytics technologies and industry best practices.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- Proven experience (2+ years) in data analysis, visualization, or business intelligence roles.
- Proficiency in SQL, Excel (advanced), and dashboard tools (Power BI, Tableau, Looker).
- Experience with AI/ML tools (e.g., Python libraries like Pandas, Scikit-learn) is a plus.
- Strong problem-solving skills with the ability to interpret complex datasets.
- Excellent communication skills to present insights to non-technical stakeholders.
- Familiarity with ETL processes, data warehousing, or cloud platforms (AWS, GCP) is advantageous.
- Ability to work independently in a remote setting with a U.S.-aligned time zone flexibility.