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

1–3 yearsHybridhybridDirect Career PageEst. 7–12 LPA

Posted 13h ago

Against your primary resume

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

Role Fit

Experience

Industry Relevance

get started

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Tier-1 brand, common early-mid data role with broad skillset and hybrid metro hiring.

Background Fit Sensitivity

(Low)

Core analytics, SQL, and visualization skills are broadly transferable across industries.

Shortlisting Strictness

(High)

Explicit 1–3 years requirement plus mandatory SQL/Python and analytics skills increases filtering.

Structured overview of role & requirements

Own analysis and execution of key strategic initiatives aimed at improving client retention.

Collaborate with data science and engineering teams to develop scalable analytics solutions using Gartner’s proprietary data.

Present actionable business insights from large data sets to stakeholders, influencing retention strategies.

1-3 years of experience in data or business analytics.

Bachelor's degree mandatory; preferably in statistics, data science, mathematics, engineering, computer science, or operations research.

Working knowledge of programming languages such as SQL, Python, or R.

Strong proficiency in Microsoft Excel and PowerPoint.

Experience working on analytics projects aimed at client retention or business performance improvement.

Comfortable collaborating in a matrixed environment involving data science and business stakeholders.

Ability to translate complex data analyses into clear, actionable business recommendations.