Data Analyst

Daice Labs is an AI research and product company developing hybrid AI systems and governed AI platforms. The Data Analyst will collect, analyze, and interpret data to inform product decisions, model evaluation, and business operations while communicating findings to technical and non-technical stakeholders.

Responsibilities:

• Analyze datasets to identify trends, patterns, and insights that support product and business decisions
• Build and maintain dashboards, reports, and automated data summaries using visualization tools
• Design and implement data quality checks and validation processes
• Collaborate with ML engineers to evaluate model performance metrics and experimental results
• Write SQL queries and Python scripts for data extraction, transformation, and analysis
• Document analytical methods, data sources, and findings for internal knowledge sharing
• Support operational reporting including usage metrics, user behavior analysis, and KPI tracking

Requirements:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 2+ years of professional experience in data analysis or a related analytical role
• Proficiency in SQL and at least one programming language (Python or R preferred)
• Experience with data visualization tools (Tableau, Power BI, Looker, or similar)
• Strong understanding of descriptive and inferential statistics
• Ability to communicate analytical findings clearly through written reports and presentations
• Attention to detail and a systematic approach to problem-solving
• Python or R preferred
• Experience with Python data analysis libraries (Pandas, NumPy, Matplotlib)
• Familiarity with cloud data warehouses (BigQuery, Redshift, Snowflake)
• Experience with A/B testing or experimental design
• Exposure to machine learning concepts and model evaluation metrics