About Olyv
Olyv is India's fastest-growing, fully automated next-generation FinTech company focused on addressing the credit needs of self-employed micro-entrepreneurs, micro-merchants, and middle and lower-income salaried individuals. In addition to lending solutions, Olyv offers digital gold savings, credit health products, and other financial wellness solutions.
Founded in 2017 and headquartered in Bengaluru, Olyv serves over 13 million users across 19,000+ pin codes through its AI and ML-powered digital platform. The company is backed by leading investors and has received national and international recognition for its contribution to financial inclusion.
Our Story
Formerly known as SmartCoin, Olyv represents the evolution of our mission to drive financial empowerment and inclusion. We are committed to building a stronger Bharat by enabling aspirations and making financial wellness accessible to all.
Our Culture
At Olyv, we foster a culture of innovation, ownership, and continuous learning. We empower our teams to solve complex customer problems using cutting-edge technology and build world-class products that create meaningful impact in the FinTech ecosystem.
Job Summary
We are looking for a highly analytical and data-driven Product Analyst to support product strategy and execution through actionable insights derived from customer behavior, product performance, and market trends. The ideal candidate will work closely with Product Managers, Engineering, Design, and Business teams to build customer-centric products and improve business outcomes.
Key Responsibilities
Product Analytics & Insights
- Analyze product performance, user behavior, and business metrics to identify trends and improvement opportunities.
- Monitor and track key product KPIs and support data-driven decision-making.
- Perform funnel, retention, cohort, and conversion analysis to measure feature effectiveness.
Dashboarding & Reporting
- Develop and maintain dashboards and reports to monitor product performance.
- Generate insights and presentations for stakeholders and leadership teams.
- Ensure accuracy and consistency of product metrics.
Market Research & Customer Insights
- Conduct market and competitor research to understand customer needs and industry trends.
- Gather and interpret customer feedback from surveys, support tickets, and user research.
- Identify customer pain points and recommend product enhancements.
Product Development Support
- Collaborate with Product Managers, Engineering, Design, and Business teams throughout the product lifecycle.
- Support requirement gathering, user story creation, and feature documentation.
- Participate in sprint planning and product discussions.
- Assist in User Acceptance Testing (UAT) to ensure product quality and business alignment.
Reporting & Process Management
- Maintain product documentation, analytics definitions, and reporting frameworks.
- Support roadmap planning by providing data-backed recommendations.
- Ensure standardization of reporting and analytics processes.
Qualifications
- Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Business Administration, or a related field.
- Master's degree or MBA is an added advantage.
- 2–4 years of experience in Product Analytics, Business Analytics, or a similar role.
- Experience in FinTech, Lending, Payments, SaaS, or Consumer Internet products will be preferred.
Required Skills
Analytics & Data
- Strong proficiency in SQL and Advanced Excel.
- Experience with BI tools such as Tableau, Power BI, Looker, or Metabase.
- Understanding of product metrics, funnel analysis, cohort analysis, and A/B testing.
Product & Tools
- Hands-on experience with Jira and Confluence.
- Familiarity with product analytics tools such as Google Analytics, Mixpanel, Amplitude, or Clevertap.
- Understanding of Agile methodologies and Software Development Life Cycle (SDLC).
Core Competencies
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to collaborate effectively with cross-functional teams.
- Strong attention to detail and organizational skills.
Preferred Skills
- Experience in FinTech, Lending, or Payments domain.
- Exposure to Python or data visualization tools is an added advantage.
- Understanding of customer lifecycle metrics and experimentation frameworks.
Behavioral Competencies
- Curiosity and passion for learning.
- Data-driven decision-making mindset.
- Strong ownership and accountability.
- Critical thinking and problem-solving ability.
- Ability to thrive in a fast-paced and collaborative environment.
