Data Analyst role within Customer Data Operations team optimizing customer risk data using advanced analytical skills. Collaborating closely with SMEs, Product, and Engineering teams to improve data processes.
About the role
- Data Analyst role at fintech focusing on financial and operational data analytics for business insights. Collaborating with teams to enhance decision-making processes.
Responsibilities
- Analyze large financial and operational datasets to generate actionable insights
- Build and maintain dashboards and reporting frameworks for business stakeholders
- Write efficient SQL queries to extract, transform, and analyze data from large data warehouses
- Perform deep-dive analysis to identify trends, anomalies, and opportunities for improvement
- Automate recurring analysis and workflows using Python libraries
- Partner with cross-functional teams including Finance, Product, Operations, and Data Engineering
- Ensure data quality, validation, and consistency across reporting pipelines
Requirements
- 3–5 years of experience in Data Analytics / Business Analytics
- Strong SQL skills with experience working on large datasets
- Hands-on experience with Python for analysis and automation
- Experience with data science environments such as DSW, Jupiter Notebook
- Familiarity with AI-assisted development tools (e.g., Cursor)
- Strong analytical thinking and problem-solving ability
- Experience building dashboards and communicating insights to stakeholders
- Ability to communicate insights clearly with business stakeholders
- Detail-oriented mindset with a focus on data accuracy and reliability
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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