Intern Analyst

Job Description:

Role Summary

The Intern, Analytics role is an individual contributor position within the Collections Analytics team. The role involves understanding business requirements, extracting and transforming data, validating outputs, developing dashboards and visualizations, and generating insights to support project delivery and business decision-making.

The ideal candidate should be passionate about data, analytics, and emerging technologies. The candidate should be eager to apply tools such as SQL, Python, SAS, Tableau, and should be capable of translating data into meaningful insights.

This is a remote role, offering the flexibility to work from home during the internship period.

Key Responsibilities

• Leverage data, analytical tools, and business intelligence platforms to develop, monitor, and track key business metrics.
• Extract, transform, validate, and analyze large datasets to support business and project objectives.
• Combine and analyze data from multiple sources to identify trends, patterns, insights, anomalies, and opportunities.
• Write basic to intermediate SQL queries for data extraction, profiling, validation, and analysis.
• Use Python, SAS, or other analytical tools for data manipulation, exploratory analysis, automation, and reporting.
• Develop dashboards, reports, and visualizations using tools such as Tableau, Power BI, Excel, or similar platforms.
• Support automation of recurring analytics processes and reporting workflows.
• Assist in applying statistical and analytical techniques to solve business problems.
• Explore and support use cases involving Generative AI, Large Language Models, and Agentic AI for productivity improvement, insight generation, automation, and analytics enablement.
• Translate analysis outcomes into clear findings, business insights, and actionable recommendations.
• Prepare clear documentation, including data definitions, methodology, assumptions, validation steps, and final outputs.
• Ensure timely delivery of assigned tasks with a strong focus on accuracy, quality, and stakeholder expectations.
• Adhere to audit procedures, data governance standards, model risk practices, and internal compliance requirements.
• Collaborate with cross-functional teams across India and U.S. business stakeholders to understand requirements and deliver analytical solutions.

Required Skills and Knowledge

• Academic knowledge of any computer language such as C, C++, Java, SQL, python etc.
• Basic understanding of relational databases, data structures, joins, aggregations, filters, and data quality checks.
• Strong analytical thinking and problem-solving skills.
• Ability to interpret data and communicate analysis outcomes effectively through findings and recommendations.
• Strong attention to detail, accuracy, and documentation.
• Basic understanding of analytics concepts such as descriptive statistics, trend analysis, segmentation, and performance measurement.
• Willingness to learn new tools, technologies, and business processes.

Desired Skills and Knowledge

• Working knowledge of SQL or Python for data manipulation, analysis, and reporting.
• Familiarity with data visualization tools such as Tableau, Power BI or similar platforms.
• Basic understanding of AI concepts, Large Language Models, prompt engineering, or AI-agents.
• Familiarity with APIs, cloud-based analytics environments.
• Interest in learning emerging analytics tools, technologies, automation methodologies, and AI-driven decision-support systems.
• Ability to create clear, business-friendly presentations using PowerPoint, Excel, or similar tools.
• Candidate should demonstrate strong curiosity, analytical thinking, and a business-oriented mindset to identify meaningful insights and translate data into actionable recommendations.

Eligibility Criteria

Candidates pursuing or holding the following qualifications are eligible to apply:

• MSc
• MTech
• MBA
• MA in Statistics, Data Science, Economics, Mathematics, Computer Science, or related fields
• BTech

Grade/Level: 07

Job Family Group:

Collections