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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

fiveSevenofficeDirect Career PageEst. 12–20 LPA

Posted 20h 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, mid-level generalist data role, metro location, and broad skillset increase candidate competition.

Background Fit Sensitivity

(Moderate)

Technical analytics skills are transferable across industries, though banking domain knowledge is beneficial.

Shortlisting Strictness

(High)

Explicit 5+ years and mandatory Python, PySpark, SQL, and BI skills make shortlisting stringent.

Structured overview of role & requirements

Develop and maintain Qlik Sense dashboards to provide impactful business insights and support Consumer Banking Group analytics.

Handle ad-hoc data requests, perform data extraction, investigation, and platform stability improvements to enhance productivity.

Contribute to strategic planning and roadmap for data science initiatives aligning modeling capabilities with organizational goals.

Minimum 5 years of experience in data and business analytics.

Proficient in Python, PySpark, and SQL.

Experience with BI tools such as QlikView and QlikSense.

Location requirement: Hyderabad (DTI Waverock SEZ).

Experienced in both data analysis and business analytics within consumer banking or financial services.

Able to independently analyze and modify code to support analytics initiatives.

Effective communicator with strong interpersonal skills, comfortable interacting frequently with customers and teams.