Responsibilities:

• Validate and analyze large datasets from multiple sources to ensure accuracy and consistency.
• Develop tools and processes to detect data anomalies, errors, and outliers.
• Collaborate with product managers, engineers, and business teams to define data requirements and maintain data quality.
• Identify trends and insights from data to support product improvements and optimizations.
• Conduct A/B tests and other experiments to evaluate product changes and their impact.
• Create reports, dashboards, and visualizations to share data insights with stakeholders.
• Support data-driven decision-making by analyzing customer behavior, product performance, and market trends.
• Stay updated on best practices, new tools, and techniques in data analysis.

Requirements:

• Strong analytical skills with experience in data validation, cleaning, and quality assurance.
• Proficiency in SQL, Python, and data analysis tools (e.g., Spark).
• Experience with data visualization tools like Metabase, Power BI, or similar platforms.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to explain data insights to both technical and non-technical audiences.
• Ability to collaborate effectively in a fast-paced environment.