Data Analyst

**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.
- 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.
- Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, or a related field.