job description
Join Nusantara Sakti Group as a Data Analyst and play a pivotal role in transforming raw data into actionable insights that drive business growth. Based in the vibrant regions of Bali, you will collaborate with cross-functional teams to identify trends, solve complex business challenges, and deliver data-driven recommendations. This is an exciting opportunity for analytical minds passionate about leveraging data to optimize performance and innovation.
In this role, you will work with cutting-edge tools and methodologies to extract, clean, and analyze large datasets. Your insights will directly influence strategic decisions, helping shape the future of our operations. If you thrive in a dynamic environment and enjoy turning data into stories, we’d love to hear from you!
Responsibility
- Collect, clean, and preprocess structured and unstructured data from multiple sources.
- Develop and maintain dashboards, reports, and visualizations to communicate key insights.
- Identify trends, patterns, and anomalies in data to uncover business opportunities or risks.
- Collaborate with stakeholders to define KPIs and metrics aligned with business objectives.
- Conduct ad-hoc analysis to support decision-making and strategic initiatives.
- Automate data processes and workflows to improve efficiency and accuracy.
- Present findings in a clear, concise manner to technical and non-technical audiences.
- Stay updated with industry trends and emerging technologies in data analytics.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- Proven experience (2+ years) in data analysis, reporting, or business intelligence.
- Proficiency in SQL, Python, or R for data manipulation and analysis.
- Experience with data visualization tools (e.g., Tableau, Power BI, or Looker).
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills to translate complex data into actionable insights.
- Familiarity with statistical methods and predictive modeling is a plus.
- Ability to work independently and collaboratively in a fast-paced environment.