Job Description & How to Apply Below
Responsibilities
- Analyze large datasets to extract actionable insights that support business decision‑making.
- Develop and maintain dashboards, reports, and data models to monitor key metrics.
- Perform data cleaning, validation, and transformation to ensure data quality and integrity.
- Apply statistical analysis and basic machine learning techniques to solve business problems.
- Collaborate with cross‑functional teams (Business, Product, Tech) to understand requirements and translate them into analytical solutions.
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, Economics, or other related quantitative fields
- Minimum 1 year of experience in Data Science, including internship or portfolio projects
- Proficient in Python programming for data processing and analysis
- Strong SQL skills for database querying, manipulation, and data updating
- Good understanding of statistics, probability, hypothesis testing, and statistical modeling
- Able to analyze and reconstruct cases from scattered or incomplete information
- Strong analytical thinking and problem‑solving skills in transforming ambiguous datasets into structured data insights
- Capable of translating technical findings into actionable business recommendations
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