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Credgenics is hiring for an FRESHER entry level Data Analyst Intern role in India




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.


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