Senior Data Analyst (Data Quality)

TL;DR

Senior Data Analyst (Data Quality): Building and optimizing data workflows and quality control systems with an accent on data governance and validation. Focus on designing automated reporting, executing data validation controls, and structuring high-fidelity datasets for machine learning models.

What you will do

• Automate repetitive tasks and develop recurring reports to increase operational efficiency.
• Build and maintain scalable dashboards and data workflows.
• Establish and collaborate on data standards, governance, and comprehensive documentation for business logic.
• Design and execute rigorous data quality checks and validation controls.
• Perform exploratory data analysis and prepare complex datasets for modeling.
• Partner with data scientists to define and implement modeling requirements.

Requirements

• Proficiency in SQL and Python for data manipulation and analysis.
• Experience with cloud data warehouses such as BigQuery, Snowflake, or Athena.
• Strong expertise in ETL processes and building data pipelines.
• Experience with data visualization tools, specifically Tableau.
• Knowledge of data governance, metadata management, and performance tuning.
• Bachelor's or Master's degree in Engineering or Science.

Culture & Benefits

• Collaborative and flexible work culture.
• Access to global opportunities and a vibrant professional community.
• Strong emphasis on professional development and continuous learning.