62
Data Analyst Remote jobs in Indonesia
Data Analyst / Data Scientist
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Data Quality Analyst
Sales Data Analyst
Sales Data Analyst
Guna Bakti Unggul
Tangerang
IDR 200,000,000 - 300,000,000
Urgently required
2 days ago
IT Data Analyst
IT Data Analyst
Surya Asia Gemilang
Kota Pekanbaru
IDR 200,000,000 - 300,000,000
Urgently required
3 days ago
SEO Data & Analyst
Jr. Data Analyst
Jr. Data Analyst
Somethinc - BeautyHaul
Daerah Khusus Ibukota Jakarta
IDR 200,000,000 - 300,000,000
Urgently required
4 days ago
Data Analyst
Data Analyst (Proficient in Excel)
Data Analyst (Proficient in Excel)
ATI Business Group
Daerah Khusus Ibukota Jakarta
IDR 200,000,000 - 300,000,000
Urgently required
5 days ago
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Yesterday
Analyst ICT & Accounting Data Analytics Pertamina Group
Analyst ICT & Accounting Data Analytics Pertamina Group
PT. Pertamina (Persero)
Daerah Khusus Ibukota Jakarta
IDR 100,000,000 - 200,000,000
Data Analyst / Data Scientist
Bali.Love
Denpasar
Remote
IDR 200,000,000 - 300,000,000
Job description
Job Title: Data Analyst / Data Scientist
Location: Bali, Indonesia (Remote work possible)
Company: Bali.Love - part of Intanah Group
About Us:
Bali.Love is a leader in Bali’s luxury wedding planning industry, providing high-end experiences and services. We're looking for a Data Analyst/Data Scientist to join our growing team and drive data-driven decision-making across the company. If you're passionate about using data to solve complex business problems, we want to hear from you!
Key Responsibilities:
- Collaborate with stakeholders to understand business challenges and develop data-driven solutions.
- Build, deploy, and refine machine learning models for tasks such as predictive analysis, classification, and clustering.
- Conduct exploratory data analysis and feature engineering to uncover meaningful insights from large datasets.
- Apply advanced statistical methods and machine learning algorithms to create effective data models.
- Create compelling data visualizations, reports, dashboards, and presentations to communicate insights and recommendations.
- Stay current with the latest data science technologies, trends, and best practices.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, or a related field.
- Proficiency in Python and R for data analysis and machine learning tasks.
- Strong knowledge of machine learning algorithms (e.g., regression, clustering, decision trees, deep learning).
- Experience using data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Understanding of A/B testing, hypothesis testing, and other statistical analysis methods.
- Experience in deploying and maintaining machine learning models.
Bonus Skills:
- Experience working with big data platforms (e.g., Hadoop, Spark) or cloud platforms (e.g., AWS, Google Cloud).
- Experience with SQL for database management and querying.
- Familiarity with data engineering tools and techniques.
Benefits
- Competitive salary and career growth opportunities.
- Flexible working hours with the option to work remotely.
- Be part of a collaborative and forward-thinking team.
- Opportunity to influence business decisions through data-driven insights in a rapidly growing industry.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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