Data Analyst, Fintech
EXL
full-time
Posted on:
Location Type: Hybrid
Location: Bengaluru • India
Visit company websiteExplore more
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata analysisdata transformationdata visualizationdashboard developmentdata quality assurancedata validationdata warehousingdata automation
Soft Skills
analytical thinkingproblem-solvingcommunicationdetail-orientedcollaboration