The business is looking to inform product strategy and roadmap decisions by extracting actionable insights from complex datasets.
Requirements
- Proficiency in at least one programming language (e.g., Python, R)
- Familiarity with SQL and relational databases
- Understanding of basic statistical concepts and techniques
- Experience with data visualization tools (e.g. Tableau, Power BI, Matplotlib, Seaborn) is a plus
- Ability to learn and utilize relevant data science tools and technologies
Responsibilities
- Assist in collecting, cleaning, and preprocessing large datasets from various sources
- Conduct exploratory data analysis to identify trends, patterns, and anomalies
- Visualize data using appropriate tools and techniques to communicate findings effectively
- Analyze user behavior and product usage data to understand user engagement
- Develop and track key performance indicators (KPIs) to track product performance
- Assist in A/B testing analysis and interpretation of results
Other
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
