Job Description:
Roles & Responsibilities:
- Thrive in a fast-paced and dynamic environment, consistently delivering objective results.
- Analyze extensive datasets to derive insights aimed at optimizing credit strategies.
- Effectively visualize complex data and communicate findings to diverse audiences, including senior leadership.
- Proficiency in Python, including pandas and NumPy for simple statistical analysis, data visualization, and basic data structures.
- Strong command of SQL for data querying and manipulation.
- Proficiency in Excel, including vLookup/Index, Pivots, and Visualizations.
- Familiarity with Cloud services (optional).
Skills:
- Hands-on experience with MySQL or any other SQL querying language.
- Advanced Excel skills for generating visualizations and extracting insights from data.
- Proficiency in Python.
- Experience in data analysis and modeling, preferably in the fintech/collections sector.
Qualifications:
- BE, B.Tech, M.E, M.Tech (Preferably Tier 1 or Tier 2 universities).
Notice Period: 15 to 30 Days.
More Information
- Experience 5-10 Years
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