Position
Data Analyst Intern role designed to support the core data and business intelligence functions within a fast-paced technology environment.
Focused on analyzing large datasets, generating actionable business insights, and collaborating with cross-functional teams to drive data-informed decision-making.
Positioned as a stepping stone for aspiring data professionals to gain hands-on experience with real-world financial technology and SaaS datasets.
Company
Credgenics, a leading global technology provider specializing in advanced, AI-powered loan collections and debt resolution technology solutions.
Trusted partner to premier banks, Non-Banking Financial Companies (NBFCs), Microfinance Institutions (MFIs), Asset Reconstruction Companies (ARCs), and digital lending firms worldwide.
Recognized for its award-winning SaaS-based platform that revolutionizes the entire collections lifecycle through innovative multi-channel digital communications, predictive AI models, and comprehensive analytical dashboards.
Location
Noida, Uttar Pradesh, India, situated within a vibrant and rapidly expanding technological and corporate hub.
On-site work mode requiring physical presence at the designated office facility to foster direct collaboration, mentorship, and team integration.
Job Type
Internship engagement structured for a fixed tenure of 6 months, offering intensive corporate exposure and mentorship from seasoned data leaders and industry experts.
Job Mode
On-site work arrangement, ensuring close daily engagement with business stakeholders, product teams, and engineering squads.
Job Requisition ID
Not specified in the primary listing details
Years of Experience
0 to 1 year of professional or academic project experience, specifically tailored for freshers, students, and recent graduates seeking entry-level industry exposure.
Company Description
Credgenics stands at the forefront of the financial technology sector by offering a comprehensive suite of AI-driven platforms designed to optimize debt resolution and loan collections for financial institutions globally.
The organization leverages cutting-edge software-as-a-service (SaaS) architecture to cover end-to-end collections lifecycles, integrating advanced multi-channel digital communications and sophisticated artificial intelligence predictor models.
Its flagship technological offerings include the mobile field collections application CG Collect, Billzy digital payments infrastructure, litigation management systems, and robust analytical insight engines.
By transforming traditional debt recovery into a tech-enabled, customer-centric journey, Credgenics helps lenders significantly boost resolution rates, improve operational efficiencies, and minimize non-performing loans (NPLs).
The company also pioneers digital dispute resolution frameworks through Online Dispute Resolution systems and delivers specialized AI solutions like CredInsure to drive growth and customer retention within the insurance sector.
Operating with a workforce ranging from 501 to 1,000 employees, Credgenics maintains a strong culture of innovation, continuous learning, continuous technological advancement, and exponential employee growth.
Profile Overview
The data team at Credgenics is seeking a highly motivated, detail-oriented, and curious Data Analyst Intern to contribute to critical data operations and business intelligence initiatives over a 6-month internship program.
The selected candidate will immerse themselves in real-world datasets, working alongside experienced data analysts, engineers, and business leaders to support comprehensive business reporting and strategic decision-making.
Core responsibilities revolve around transforming raw, unstructured data into clean, structured, and interpretable formats that highlight underlying business trends, operational patterns, and key performance indicators.
The role demands active participation in writing complex SQL queries for efficient data extraction, manipulation, and analysis across diverse relational database management systems.
Interns will be entrusted with preparing dynamic reports, executive dashboards, and visual representations of data that empower business stakeholders to monitor performance metrics and track key business drivers.
Data quality, validation, and accuracy maintenance form a foundational pillar of this role, ensuring that all analytical outputs adhere to strict organizational standards and data governance policies.
Collaboration is key; the intern will regularly partner with cross-functional teams including product management, operations, finance, and engineering to gather analytical requirements and deliver timely insights.
The position provides an exceptional platform for individuals who possess a passion for problem-solving, quantitative reasoning, and statistical analysis to apply their academic knowledge to complex commercial challenges.
Throughout the 6-month tenure, the intern will gain invaluable exposure to modern data stacks, business intelligence workflows, enterprise-grade data management, and the fast-paced ecosystem of a leading SaaS fintech organization.
Ideal candidates exhibit a strong foundation in core analytical concepts, an eagerness to learn new tools rapidly, exceptional attention to detail, and clear communication skills to articulate data findings effectively.
Qualifications
Educational background encompassing current enrollment in or recent completion of a degree program in Engineering, Computer Science, Statistics, Mathematics, Economics, or a closely related quantitative discipline.
Demonstrated foundational knowledge and practical proficiency in Structured Query Language (SQL) for database querying, table joins, aggregations, and data retrieval tasks.
Proficiency in spreadsheet applications such as Microsoft Excel or Google Sheets, including data manipulation, VLOOKUP/XLOOKUP functions, pivot tables, and basic formula construction.
Strong analytical, logical reasoning, and problem-solving capabilities with a structured approach to dissecting ambiguous business problems and formulating data-driven solutions.
Basic conceptual understanding of statistics, probability, descriptive analytics, and data visualization principles to effectively communicate quantitative narratives.
Excellent interpersonal communication skills, enabling the candidate to articulate technical findings, summarize reports, and collaborate seamlessly with non-technical stakeholders.
High degree of attention to detail and commitment to maintaining data integrity, accuracy, and thorough documentation across all assigned analytical projects.
Familiarity with programming languages such as Python and data manipulation libraries like Pandas represents a valuable advantage for candidates looking to stand out.
Prior exposure to modern business intelligence and data visualization platforms such as Power BI, Tableau, or similar reporting tools is considered a strong plus.
Enthusiasm for continuous learning, adaptability in a dynamic startup environment, and a proactive attitude toward taking on ad-hoc analytical tasks and business tracking requirements.
Additional Info
Structured as a full-time, on-site internship spanning a duration of 6 months, located at the Credgenics corporate office in Noida, Uttar Pradesh, India.
Positioned as an incredible launchpad for freshers and entry-level professionals aiming to build a robust career in data analytics, business intelligence, and financial technology sectors.
Offers direct mentorship from senior talent partners, data engineering leaders, and analytics managers who provide guidance, feedback, and professional development support.
Exposure to cutting-edge fintech innovations, SaaS business models, AI-driven credit risk analytics, and enterprise-scale data infrastructure that rarely features in standard academic settings.
Provides a collaborative, inclusive, and high-energy work culture that encourages innovation, creative problem-solving, and cross-functional networking with industry peers.
High potential for top-performing interns to showcase their technical acumen and problem-solving capabilities within a rapidly scaling organization experiencing strong employee and business growth.
Transparent evaluation and feedback mechanisms throughout the internship lifecycle to ensure continuous skill enhancement and career readiness.
Positioned within a thriving community of tech professionals, data scientists, and engineers dedicated to transforming the global financial lending and debt resolution landscape.
Please click here to apply.

