Data Scientist | Remote

Crossing Hurdles; Indonesia; On-site; IDR 539,471,318 - 899,118,863; Full time

Job summary

Crossing Hurdles is seeking a Data Analyst in Indonesia to collect and analyze data sets, ensuring integrity and readiness for insightful analysis. The role involves developing statistical models, conducting exploratory analysis, and presenting data insights to stakeholders.

The ideal candidate will possess strong experience in data analysis, programming skills in languages like Python or R, and proficiency in visualization tools like Tableau or Power BI. Join us to contribute to impactful data-driven decisions.

Qualifications

• Strong relevant experience in statistics, mathematics, and data analysis.
• Proven experience in handling and cleaning large, complex data sets.
• Strong data modeling skills with predictive models.

Responsibilities

• Collect, clean, and preprocess diverse data sets.
• Develop and implement statistical models for insights.
• Conduct exploratory data analysis to identify trends.
• Present findings through data visualizations.
• Collaborate on end-to-end data projects.

Skills

Statistics and Mathematics

Data Analysis Techniques

Python Programming

R Programming

Data Visualization

Tools

Tableau

Power BI

Job description

Responsibilities

• Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
• Develop, validate, and implement statistical models to extract actionable insights from complex data.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
• Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
• Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
• Continuously improve analytical methodologies and automation processes to enhance data workflows.

Requirements

• Have strong relevant experience in statistics, mathematics, and data analysis techniques.
• Have proven experience in collecting, handling, and cleaning large, complex data sets.
• Be proficient in programming languages such as Python, R, or similar for data manipulation and modeling.
• Possess strong data modeling skills with experience in building and validating predictive models.
• Have advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.