job description
Join CDAC as a Data Analyst (Analytics & AI) and play a pivotal role in transforming data into actionable insights. Based in the vibrant and culturally rich island of Bali, you will drive analytics initiatives, design scalable data models, and embed AI solutions to deliver smarter decisions and better outcomes for our beneficiaries.
In this role, you will collaborate with cross-functional teams to identify trends, develop predictive models, and create data-driven strategies that enhance operational efficiency and customer satisfaction. If you are passionate about leveraging data to solve real-world problems and thrive in a dynamic, innovative environment, this is the perfect opportunity for you.
CDAC is committed to fostering a diverse and inclusive workplace where creativity and technical excellence are celebrated. Enjoy the unique blend of professional growth and the serene beauty of Bali as you advance your career in data analytics and AI.
Responsibility
- Develop and implement advanced analytics and AI models to extract meaningful insights from complex datasets.
- Design, build, and maintain scalable data pipelines and ETL processes to ensure data accuracy and accessibility.
- Collaborate with stakeholders to identify business needs and translate them into data-driven solutions.
- Create comprehensive reports and visualizations to communicate findings and recommendations to non-technical audiences.
- Monitor and optimize the performance of AI and machine learning models to ensure they deliver accurate and actionable results.
- Stay updated with the latest trends and technologies in data analytics, AI, and machine learning.
- Ensure data governance and compliance with relevant regulations and standards.
- Mentor junior team members and foster a culture of continuous learning and innovation.
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Proven experience as a Data Analyst, with a strong background in analytics, AI, and machine learning.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Strong understanding of statistical analysis, predictive modeling, and data mining techniques.
- Excellent problem-solving skills and the ability to work with large and complex datasets.
- Strong communication and presentation skills to convey technical information to non-technical stakeholders.
- Ability to work independently and as part of a team in a fast-paced environment.