Data Analyst

Responsibilities

• Partner with data engineers, analysts, and data scientists to develop, maintain, and optimize data models and business intelligence solutions.
• Collaborate with cross-functional stakeholders across departments such as Finance, Legal, HR, Product, and Operations to support business objectives and strategic initiatives.
• Own and enhance enterprise reporting platforms, consolidating data from multiple internal and external sources to deliver actionable insights.
• Drive improvements to data architecture, ETL processes, CI/CD pipelines, and overall analytics best practices.
• Build and maintain scalable reporting solutions using modern cloud-based analytics and data warehousing tools.
• Ensure data quality, integrity, and reliability through testing, validation, and monitoring processes.
• Translate complex business requirements into effective reporting and analytical solutions.

Required Qualifications:

• Fluent English communication skills, both written and verbal.
• 5+ years of experience in analytics, data quality assurance, reporting, or business intelligence.
• Strong proficiency with SQL, Python, and PySpark.
• Experience using AI-assisted development tools such as Claude, Codex, Cursor, or similar technologies.
• Strong experience with CI/CD processes using GitHub or comparable platforms.
• Deep understanding of data modeling, ETL development, data warehousing concepts, and best practices.
• Experience working with platforms such as Databricks, Airflow, Snowflake, or similar enterprise data tools.
• Experience developing dashboards and visualizations using Tableau, Power BI, or equivalent BI tools.
• Strong communication, stakeholder management, and product ownership skills.
• Bachelor's degree in a STEM-related field or equivalent professional experience.