Description :
Quid is Indias leading AI-powered FinTech marketplace and SaaS platform transforming how individuals access credit.
Our mission is to make credit simpler, smarter, and more human by providing easy access to unsecured personal loans, business loans, and credit card options for credit-seeking users.
Powered by technology and data intelligence, we seamlessly connect users with lenders best suited to their credit needsenabling informed financial choices and better credit outcomes thereby enhancing decision-making, streamline operations, and drive business efficiency.
At Quid, were not just building another FinTech productwere redefining the way people experience money : fast, intuitive, and deeply personal.
Role & Responsibilities :
- Lead end-to-end analytical projects from data extraction to insight presentation
- Perform advanced data analysis to drive business growth, customer insights, funnel optimization, and product performance.
- Conduct data validation, quality checks, and ensure high accuracy across all reporting processes.
- Build, maintain, and optimize dashboards and data
- Conduct advanced analysis to support business growth, customer insights, and performance optimization
- Collaborate with cross-functional teams (Product, Marketing, Finance)
- Mentor junior analysts and review their outputs for accuracy and quality
- Present data insights and recommendations to senior leadership
The role is not restricted or limited to the roles and responsibilities mentioned above.
Key Requirements :
2 - 3 years of experience in data analysis, reporting, or business analytics.Proficiency in Excel / Google Sheets for data cleaning and manipulation.Working knowledge of data visualization tools such as Power BI, Tableau, or Google DataStudio.
Basic understanding of databases and SQL.High accuracy in data handling, validation, and quality checks.Efficient in managing multiple data sources, maintaining proper documentation, and meetingreporting deadlines.
Strong analytical and communication skills.Comfortable working with cross-functional teams such as Marketing, Sales, and Operations tosupport analytical needs.
Experience working with large datasets from multiple sources and maintaining properdocumentation.
Familiarity with ETL workflows or data pipeline concepts is a plus.Strong logical reasoning, analytical mindset, and storytelling with data(ref : hirist.tech)