Zype is hiring for the role of Product Analyst for the Bangalore location. Please read the complete information carefully and apply if you are eligible for the Product Analyst Job Opening at Zype.
Eligibility Criteria
Education: Bachelor's Degree in Engineering or related fields Job Location: Bangalore Experience: 1-3 years Skills: SQL, data analytics tools Salary: Up to ₹6,00,000 to ₹15,00,000 annually (As per Glassdoor)
Job Responsibilities of a Product Analyst Job Opening at Zype:
- Analyze user behavior, drop-offs, and conversion rates across the customer journey to identify bottlenecks and areas of improvement.
- Write complex SQL queries to extract and analyze large datasets from multiple sources.
- Create and maintain dashboards/reports to track key product metrics and business KPIs.
- Collaborate with Product Managers and Business Analysts to provide data-backed insights that shape product strategy and decision-making.
- Work with engineering and data teams to ensure proper event tracking and data instrumentation.
- Identify opportunities to optimize the lending funnel, reduce friction, and improve user experience.
- Conduct A/B testing and experiments to evaluate product changes and new features.
Required capabilities and skills:
- 1-3 years of experience in product analytics, business analytics, or a similar role.
- Strong proficiency in SQL (joins, window functions, CTEs, indexing, query optimization).
- Good understanding of data analytics tools (Excel, Python, or BI tools like Looker, Tableau, Power BI).
- Experience in conversion funnel analysis and customer behavior analytics.
- Ability to interpret data, generate insights, and effectively communicate findings.
- Prior experience in fintech, lending, or BFSI is a plus.
- Familiarity with A/B testing, attribution models, and cohort analysis is preferred.
⚠️ Important Note:
This is a direct hiring opportunity – No hidden fees or charges for applying!
About the Company
Zype is a Mumbai-based fintech company offering instant personal loans up to ₹5 lakh, targeting salaried millennials with a fully digital platform, flexible repayment options, and alternative data-driven credit assessments.
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