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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

threeFiveHybrid — GURGAONhybridDirect Career PageEst. 7–12 LPA

Posted 1d ago

Against your primary resume

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Generalist data analyst title, mid-level experience, and Gurgaon metro increase candidate density.

Background Fit Sensitivity

(High)

Requires US banking and retail lending domain expertise, limiting cross-industry transferability.

Shortlisting Strictness

(High)

Explicit 4+ years, mandatory SQL/Python/PySpark, and US banking domain requirement make screening strict.

Structured overview of role & requirements

Perform data analysis, root cause analysis (RCA), and remediation under Issue Management specifically for US Banking Retail Lending.

Utilize SQL, Python, and PySpark to manage and analyze data related to Retail Lending issues.

Engage in stakeholder management and ensure project delivery while contributing individually and within teams.

4+ years of hands-on experience in SQL and Python.

Experience in US Banking is mandatory; Retail Lending and Issue Management experience is preferable.

Bachelor's degree in Engineering, Mathematics, Analytics, Management, Statistics, Econometrics, Database Management, or related field.

Proven skills in stakeholder management and project delivery.

Experienced individual contributor with ability to work independently across data analysis and issue remediation.

Familiar with US Banking Retail Lending domain and Issue Management processes.

Capable of balancing technical execution with stakeholder communication and project management.