Signzy, one of India’s leading fintech innovators, is hiring a Data Analyst Intern for a full-time 6-month internship in Bangalore. If you’re passionate about data, analytics, and problem-solving and want to kickstart your career in the fintech industry this opportunity could be perfect for you. With the increasing demand for digital banking solutions, Signzy plays a major role by combining AI and blockchain to make regulatory compliance seamless and secure. This internship allows freshers to gain hands-on experience analyzing financial data, building dashboards, and supporting decision-making across teams.
About the Company
Signzy is a fast-growing fintech company offering AI-powered digital onboarding and verification solutions for banks, NBFCs, and financial institutions. While most banking services are becoming digital, compliance processes often remain manual, time-consuming, and risky. Signzy solves this by combining Artificial Intelligence and blockchain technologies to make digital KYC and compliance both secure and efficient. Their solutions are used globally, trusted by top banks, and recognized for transforming traditional financial workflows into intelligent digital experiences.
Role Overview
The Data Analyst Intern at Signzy will work directly with large datasets, analytical tools, and internal teams to extract actionable insights that support product and business decisions. This internship is ideal for freshers with strong analytical thinking, SQL knowledge, and hands-on experience with Python, R, and Excel. You will work on real business problems, contribute to data-driven strategies, and help enhance Signzy’s fintech products.
Responsibilities
- Extract and transform large datasets using SQL
- Clean, preprocess, and aggregate data for analysis
- Apply statistical techniques to identify trends and patterns
- Build dashboards and reports using Excel, Power BI, or Tableau
- Develop predictive models using Python or R
- Implement data validation and quality checks
- Support optimization of internal data processes
- Stay updated with new analytics tools and industry trends
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Who Can Apply
| Eligibility Criteria | Details |
|---|---|
| Education | Bachelor’s in Computer Science, Statistics, Mathematics, or related field |
| Experience | 0–1 years (prior internships or projects preferred) |
| Skills Required | SQL, Excel, Python, R |
| Other Requirements | Strong problem-solving, analytical mindset, ability to work with large datasets |
Preferred Skills
- Experience with data visualization tools like Power BI or Tableau
- Knowledge of predictive modeling and statistical methods
- Understanding of data quality and validation processes
- Ability to communicate insights clearly to technical and business teams
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What You’ll Get
- Hands-on experience with real fintech datasets
- Opportunity to work with cutting-edge tools in data analytics
- Learn from experienced data scientists and product teams
- Fast-paced environment that encourages innovation
- Exposure to AI-driven compliance solutions
- Chance to contribute to meaningful projects in financial technology
How to Apply
To apply for the Signzy Data Analyst Internship, prepare a strong resume highlighting your analytics skills, technical tools, and data-related projects. Include any SQL queries, dashboards, or machine learning models you’ve built. If you have GitHub or portfolio links, add them to showcase your work. Focus on coursework such as statistics, data analytics, or machine learning. Before applying, review common data analyst tasks like writing SQL queries, building dashboards, or analyzing datasets. This will help you confidently perform well in interviews and assessments. When you’re ready, apply by clicking the button below.
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