Senior Data Analyst
21 hours ago
We are looking for a senior data analyst in GDS’s Data Analytic Team to help us in our business operation effort which including creating data analysis reports and advanced analysis for our BI/BA use cases.
**Responsibilities**:
- Collect data and perform ad hoc or advanced analyses during the product development and operational processes.
- Interpret data and analyze results using statistical techniques (such as hypothesis testing, A/B testing, etc.) to create and maintain advanced analysis reports.
- Review and improve existing data sources, data models, strategies, and metrics to ensure efficiency and accuracy.
- Design and develop dashboards, reports, and visualizations to effectively share insights and findings with stakeholders.
- Identify opportunities to improve processes, automate workflows, and innovate to enhance data analysis capabilities.
- Communicate effectively with leadership, technical teams, and business teams to align goals and drive results.
**Yêu cầu**:
Minimum Qualifications:
- Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
- 5+ years of experience in data analytics, with a proven track record in exploratory data analysis and advanced analytics.
Technical Skills:
- Strong SQL expertise, with experience optimizing complex queries and pipelines.
- Proficiency in Python or R for data analysis and modeling.
- Experience with BI tools such as Power BI, Tableau, or Looker.
- Knowledge of data modeling, ETL processes, and pipeline optimization.
Analytical Skills:
- Advanced EDA capabilities, with the ability to identify patterns, anomalies, and actionable insights.
- Strong statistical knowledge, including hypothesis testing, A/B testing, and regression analysis.
- Experience designing and analyzing experiments for product and marketing initiatives.
Soft Skills:
- Excellent communication skills with the ability to translate complex data into actionable recommendations for non-technical stakeholders.
- Strong collaboration skills to work effectively with cross-functional teams, including BI, Marketing, and Product.
- Highly organized and detail-oriented, capable of managing multiple projects simultaneously.
Preferred Qualifications:
- Experience in the gaming industry or with player behavior analytics.
- Familiarity with data visualization best practices and executive-level reporting.
- Knowledge of big data tools (e.g., Spark, Hadoop) is a plus.
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