Analyze banking product performance and client behavior to identify opportunities and risks.
Support recurring and ad-hoc reporting needs for business stakeholders.
Translate data into clear, actionable insights that inform decisions across sales, pricing, and profitability.
Use SQL and Python to extract, clean, and analyze data.
Build and maintain scalable data pipelines and reporting.
Collaborate with cross-functional teams to align analytics with business goals.

Requirements

2–5 years of experience in data analytics, preferably in banking or financial services.
Familiarity with banking products and client segmentation.
Proficient in SQL and Python (or other programming languages with a willingness to learn Python).
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata analysisdata cleaningdata visualization

Soft Skills

collaborationcommunicationanalytical thinking