Description

You will lead data quality initiatives and support cloud transformation efforts through rigorous validation and monitoring.

Responsibilities

• Monitor automated threshold-based reports to identify and investigate data quality issues.
• Run validation routines to compare results between legacy and cloud systems during business transformations.
• Analyze complex data issues and recommend corrective actions to data stewards.
• Develop and implement new processes, procedures, and tools for data analysis and insights.
• Maintain technical documentation and contribute to the team knowledge base.

Required Skills

• 5+ years of experience in data and business insights analysis.
• Expertise in SQL, Google Big Query, Python, and Hadoop.
• Experience with business intelligence tools including Tableau and Looker.
• Background in credit risk, financial services, marketing, fraud, or insurance industries.
• Proven track record delivering projects within data governance, warehousing, or analytics environments.
• Ability to assess existing processes and create technical or business documentation.
• Bachelor’s or advanced degree in a quantitative discipline such as Computer Science, Engineering, Economics, Mathematics, Statistics, or Physics.

Preferred Skills

• Experience designing analytics solutions and using Agile project management with Jira.
• Ability to solve analytical and business problems using generative AI.

Key Skills

Education

Any Graduate