job description
Join Data Cube Sdn Bhd as a Data Analyst in a hybrid role based in beautiful Bali. This is a unique opportunity to work with cutting-edge tools like Microsoft Fabric and Power BI while enjoying the vibrant culture and lifestyle of Bali. Whether you're based in Canggu, Ubud, or any other part of the island, you'll be part of a dynamic team that values innovation, collaboration, and professional growth.
At Data Cube, we believe in empowering our employees to develop their skills and build a rewarding career in data analytics. You'll have the chance to work on impactful projects, analyze complex datasets, and deliver insights that drive business decisions. Our hybrid work model offers flexibility, allowing you to balance productivity with the inspiring environment Bali has to offer.
If you're passionate about data and eager to grow in a supportive and innovative environment, we'd love to hear from you. Apply today and take the next step in your data analytics career with Data Cube Sdn Bhd.
Responsibility
- Develop and maintain data models, dashboards, and reports using Microsoft Fabric and Power BI.
- Analyze large datasets to identify trends, patterns, and insights that inform business strategies.
- Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
- Ensure data accuracy and integrity by performing regular data validation and cleansing.
- Create and automate data pipelines to streamline data collection and reporting processes.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Stay updated with industry trends and best practices in data analytics and visualization.
- Support the development and implementation of data-driven solutions to enhance business performance.
Qualifications
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Analyst or in a similar role, with a strong portfolio of data projects.
- Proficiency in Microsoft Fabric, Power BI, and other data visualization tools.
- Strong analytical skills with the ability to interpret complex data and provide actionable insights.
- Experience with SQL, Python, or R for data manipulation and analysis.
- Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
- Detail-oriented with a commitment to data accuracy and quality.
- Ability to work independently and collaboratively in a hybrid work environment.