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 (or similar programming languages) to extract, clean, and analyze data.
Build and maintain scalable data pipelines and reporting.
Present findings in a clear and compelling way to non-technical audiences.
Support senior analysts and managers in strategic projects and deep-dive analyses.

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.
Strong analytical thinking and attention to detail.
Ability to communicate insights clearly and effectively.
Eagerness to learn and contribute to a collaborative, high-performing team.

Senior Analyst, Data and Analytics

Key skills