Signzy is redefining how financial institutions onboard customers digitally. Our AI-powered and blockchain-backed solutions make digital compliance fast, secure, and effortless. With partnerships across major banks, NBFCs, and fintechs, we’re transforming traditional KYC and verification processes into seamless digital experiences.
About the Role
We’re on the lookout for a driven and analytical Data Analyst Intern to join our fast-growing team.
If you’re someone who loves diving into complex datasets, uncovering insights, and converting them into meaningful business actions — this role is for you.
You’ll work closely with data, tech, and business teams to build analytical solutions that help drive smarter decisions across the organization.
Key Responsibilities
- Data Extraction & Transformation:
Work with SQL to clean, process, and manipulate large datasets.
- Statistical Analysis & Modeling:
Use Python, R, and statistical methods to identify trends and build predictive models.
- Reporting & Visualization:
Develop dashboards and reports using Excel, Power BI, or Tableau for actionable insights.
- Data Quality Assurance:
Maintain data accuracy through regular validation and quality checks.
- Continuous Improvement:
Explore new tools and methods to enhance data collection and analytics processes.
Requirements
- Prior experience (1–2 internships or projects) in Data Analysis or a similar role.
- Proficiency in SQL, Excel, Python, and R.
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related fields.
- Strong analytical thinking, curiosity, and attention to detail.
Why Join Signzy
- Work on real-world fintech data challenges.
- Opportunity to convert to a full-time role (PPO).
- Collaborate with experts driving innovation in AI and blockchain.
- Be part of a fast-paced, growth-oriented startup culture.
Apply now and shape the future of digital banking with data!
