job description
Join Dodgson Matrix Sdn Bhd as a Data Analyst and become part of a dynamic team in the heart of Bali. This role offers a unique blend of work-life balance with a hybrid working arrangement, allowing you to enjoy the vibrant culture of Bali while advancing your career in data analytics.
We are seeking a detail-oriented and analytical professional to transform raw data into actionable insights. You will work closely with cross-functional teams to drive data-driven decision-making and contribute to the company's growth. With opportunities for career progression and a supportive work environment, this is your chance to make a significant impact in the Information & Communication Technology sector.
If you are passionate about data and eager to work in a collaborative and innovative setting, we invite you to apply and take the next step in your career with us.
Responsibility
- Collect, clean, and analyze large datasets to identify trends and patterns.
- Develop and maintain dashboards and reports to visualize data insights.
- Collaborate with stakeholders to understand data requirements and deliver actionable insights.
- Design and implement data models and algorithms to support business decisions.
- Monitor and analyze key performance indicators (KPIs) to drive continuous improvement.
- Ensure data accuracy and integrity through rigorous validation and testing.
- Present findings and recommendations to senior management and cross-functional teams.
- Stay updated with industry trends and best practices in data analytics.
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
- Proven experience as a Data Analyst or in a similar role.
- Proficiency in data analysis tools such as SQL, Python, R, or Excel.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and presentation skills.
- Ability to work independently and collaboratively in a team environment.
- Knowledge of statistical analysis and predictive modeling is a plus.