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Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
ATS Keywords
✓ Tailor your resumeApplicant 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
