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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

threeFiveofficeDirect Career PageEst. 8–14 LPA

Posted 1d ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level, common Data Analyst title with SQL/Python/PySpark and likely metro location increases competition.

Background Fit Sensitivity

(High)

Requires US banking and retail lending issue-management experience, limiting cross-industry transferability.

Shortlisting Strictness

(High)

Mandatory 4+ years and explicit SQL/Python/PySpark plus banking experience increase candidate filtering.

Structured overview of role & requirements

Perform data analysis, root cause analysis (RCA), and remediation within issue management for US Banking Retail Lending.

Deliver project outcomes and manage stakeholder expectations in issue management processes.

Handle data processing using SQL, Python, and PySpark to support banking retail lending operations.

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

At least 4 years of hands-on experience with SQL and Python.

Experience in US Banking sector, preferably in Retail Lending and Issue Management.

Mandatory skills include SQL, Python, and PySpark.

Demonstrated ability to work both independently and collaboratively within teams.

Experienced in stakeholder management and delivering project outcomes under issue management.

Strong domain knowledge in US Banking Retail Lending with focus on data-driven problem resolution.