Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand plus metro location and a mid-level generalist analytics role increases candidate competition.
Marketing analytics skills transfer well across industries, though payments domain preference raises sensitivity somewhat.
Explicit 3–4 year requirement, mandatory SQL/Python and A/B testing skills, payments experience preferred.
Own design and execution of A/B tests, campaign analytics, and test-control methodologies to optimize marketing performance.
Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance to develop data-driven insights.
Develop predictive models for segmentation, personalization, and targeting; translate insights into business impact with stakeholder engagement.
3-4 years of experience in analytics, consulting, or data science with focus on marketing analytics.
Proficiency in SQL, Python, R, or SAS and experience with data visualization tools like Tableau or Power BI.
Strong foundation in A/B testing, statistical modelling, and campaign analytics.
Undergraduate degree; eligibility to work and travel in the country of application.
Experience in financial services, banking, or payments sector preferred.
Comfortable working in fast-paced, deadline-driven environments with multiple clients and projects.
Exposure to or hands-on use of GenAI tools for marketing insight generation or automation is a plus.