Signzy Off Campus 2026 Hiring Fresher For Data Analyst Intern | Bangalore

The Data Analyst Intern role at Signzy is suitable for candidates looking to build experience in professional work environments, communication, teamwork, and business operations.

Signzy is a leading digital onboarding and compliance technology company that serves banks, NBFCs, fintech companies, and financial institutions across India and globally. As financial services rapidly transition to digital platforms, regulatory compliance and customer verification have become major challenges.

Signzy bridges this gap by leveraging cutting-edge technologies such as Artificial Intelligence (AI) and Blockchain to deliver secure, scalable, and seamless digital KYC, AML, and compliance solutions. The company enables financial institutions to onboard customers faster while maintaining strict regulatory standards and trust.

Known for its innovation-driven culture, Signzy works closely with some of the largest financial organizations to modernize compliance workflows and enhance customer experience. For students and freshers, Signzy offers a fast-paced fintech environment with real-world exposure to data, analytics, and advanced technologies.

Signzy is hiring Data Analyst Interns for its Bangalore office as part of its Internship Program 2026. This opportunity is ideal for candidates who are passionate about working with data, discovering insights, and solving real-world business problems using analytics.

As a Data Analyst Intern, you will work closely with cross-functional teams including product, engineering, and business stakeholders. You will analyze large datasets, build reports and dashboards, and support data-driven decision-making across the organization.

This internship provides hands-on experience in SQL, Python, R programming, data visualization, and statistical analysis, making it a strong foundation for a career in data analytics or data science within the fintech domain.

• Extract, manipulate, and analyze large and complex datasets using SQL
• Perform data cleaning, transformation, preprocessing, and aggregation
• Prepare structured and high-quality datasets for reporting and analysis
• Apply statistical techniques using Python and R to identify patterns and trends
• Conduct Exploratory Data Analysis (EDA) to support business insights
• Assist in building predictive and analytical models
• Design and maintain dashboards and reports using Excel, Power BI, or Tableau
• Present insights in a clear, concise, and visually compelling manner
• Collaborate with cross-functional teams to understand data requirements
• Support data-driven decision-making across business functions

• Analyze structured and unstructured data to uncover meaningful insights
• Support ongoing reporting and analytics initiatives
• Identify anomalies, trends, and opportunities from datasets
• Ensure data accuracy, consistency, and reliability
• Document analytical processes and findings
• Learn and apply best practices in data analytics and reporting
• Continuously improve analytical methods and workflows

• Working knowledge of SQL for data extraction and analysis
• Programming experience in Python
• Basic to intermediate understanding of R programming
• Understanding of data structures and datasets
• Knowledge of statistical concepts and data analysis techniques
• Familiarity with Excel for reporting and analysis
• Ability to communicate insights effectively

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