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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

UNKNOWNofficeDirect Career PageEst. 15–28 LPA

Posted 19h 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)

Tier-1 brand, generalist data analyst title, and metro location drive high applicant competition.

Background Fit Sensitivity

(High)

Banking dataset experience and client-facing responsibilities make background fit highly industry-specific.

Shortlisting Strictness

(Moderate)

Mandatory SQL and banking-dataset experience plus client-facing requirements create moderate shortlisting strictness.

Structured overview of role & requirements

Manage and resolve client inquiries related to banking datasets, serving as a primary contact to ensure client satisfaction.

Perform advanced data analysis using SQL and Python to derive actionable insights supporting business decisions.

Design and develop Power BI dashboards and participate in quality assurance workflows to enhance data accuracy and visualization.

Proven experience working with banking datasets and handling client inquiries.

Proficiency in SQL for data analysis and manipulation is mandatory.

Ability to work varying shifts to support global business operations.

Work Experience Required: Not explicitly mentioned in the JD.

Experienced in client-facing roles within financial or banking sectors demonstrating strong data integrity focus.

Skilled in advanced data manipulation using SQL and Python with capability to develop Power BI visualizations.

Comfortable collaborating across global teams and adapting to shift-based work environments.