Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

3–4 yearsDELHI_NCRofficeDirect Career PageEst. 8–14 LPA

Posted 17h ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Tier-1 brand, metro location, mid-level generalist analytics role increases applicant competition.

Background Fit Sensitivity

(Moderate)

SQL/SAS/reporting skills transfer across industries, but credit-card domain specificity raises sensitivity.

Shortlisting Strictness

(High)

Explicit 3–4 years and mandatory SAS/SQL/advanced Excel increase screening rigidity.

Estimated fit based on your resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Structured overview of role & requirements

Develop and maintain MIS reporting systems for credit card products using SAS, SQL, and Excel.

Generate and automate accurate reports and dashboards, ensuring timely delivery to senior management and stakeholders.

Collaborate with product and marketing teams to analyze credit card portfolio KPIs and support data-driven decision-making.

3-4 years of hands-on experience with SQL and advanced Excel (pivot tables, macros, complex formulas).

Proficiency in SAS and SQL for data management and reporting.

Graduate degree (field not explicitly mentioned).

Work Experience Required: 3-4 years with relevant technical skills.

Experienced in handling credit card or personal loan product data reporting and analytics.

Strong technical orientation with expertise in SAS, SQL, and advanced Excel for automation and data visualization.

Ability to present complex data insights clearly to both technical and non-technical stakeholders.