Senior Financial Business Intelligence Data Quality Analyst

About the role

The Financial Business Intelligence Data Quality Analyst ensures that finance‑related data and reporting are accurate, complete, and consistent. You will work closely with data engineers, data scientists, and business users to drive data quality initiatives and support internal reporting needs.

Key responsibilities

• Develop and implement data quality standards, profiling, reconciliation, and anomaly detection processes.
• Maintain data definitions, documentation, and formal policies for exception tolerance.
• Investigate, analyze, and resolve reported data quality issues across finance BI datasets.
• Collaborate with database developers, data engineers, and business stakeholders to implement continuous improvements.
• Analyze root causes of data problems and communicate recommended solutions to internal stakeholders.

Required profile

• Bachelor’s degree in Information Systems, Computer Science, Finance or related field, or equivalent experience.
• 5+ years experience preparing and transforming complex datasets and 4+ years analyzing large multidimensional datasets.
• 4+ years applying data governance principles and working in Agile product development environments.
• 5+ years managing stakeholder relationships with strong communication skills.
• 3+ years Financial Planning & Analysis experience is a plus.

Required skills

• SQL
• Python (including Pandas, NumPy)
• Tableau or Power BI
• Google BigQuery or equivalent cloud‑based big data platform
• Google Cloud tools such as Cloud Composer, Dataproc, or Dataflow