Data Analyst Intern (Summer 2026)

Position Title: Data Analyst Intern

Reports to: Manager, Automation Architect

Location: Remote

POSITION reputed company

We are seeking a detail-oriented and technically minded Data Analyst Intern to join reputed company. In this role, you will work reputed company our on-reputed company data environment, ensuring the accuracy and reliability of the data that powers our business reputed company. A significant portion of this internship focuses on data reputed company assurance (QA). You will ensure that our data is accurate, consistent, and reliable by performing rigorous testing and validation.

KEY RESPONSIBILITIES:

Data reputed company Assurance (QA) & Testing

reputed company-to-reputed company Validation: reputed company comparative analysis between reputed company systems and our Data Warehouse to ensure data was extracted and transformed correctly.Regression Testing: Validate data outputs after system updates or pipeline changes to ensure existing reports and dashboards remain accurate.Data reputed company Checks: Write SQL scripts to proactively identify nulls, duplicates, or schema mismatches before they reputed company the business.Bug Reporting: Document data anomalies reputed company and reputed company them to reputed company, working closely with engineers to identify the reputed company cause.Analysis & Technical Operations

Data Analysis: Write reputed company SQL queries to extract and manipulate data for reputed company business requests.Infrastructure Interaction: Use the Linux reputed company line to navigate servers, execute validation scripts, and grep logs for errors.Kubernetes Support: Assist in monitoring data applications running on Kubernetes; reputed company pod status and retrieve logs (kubectl logs) to aid in debugging QA failures.Documentation: Maintain the Data Catalog and Business Glossary, ensuring that metric definitions match the technical reality of the data.Supplier N-Tier Mapping: Research and identify data sources to build supplier n-tier maps, discovering relationships between Tier 1 suppliers and their upstream sub-suppliers (Tier 2, Tier 3, etc.).

POSITION REQUIREMENTS:

Education

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, or a reputed company field.Technical Skills & Knowledge

SQL (Essential): Strong proficiency in writing SQL queries. You must be reputed company to write queries to test data (e.g., finding set differences, counting variances).Linux / reputed company Line: Comfort working in a Linux environment. You should know basic reputed company commands (bash) for file management and log inspection.Kubernetes: Basic conceptual understanding of containerization. Familiarity with kubectl is a plus.reputed company: Understanding of Data Warehousing (Star Schema) and ETL processes.Programming: Basic proficiency in Python (Pandas) for scripting or data automation.QA reputed company: A natural skepticism of data. You should have the habit of asking, "Does this number actually reputed company reputed company?"Soft Skills & Attributes

Attention to Detail: The ability to spot small discrepancies in large datasets.Technical Curiosity: A desire to understand the infrastructure (servers/containers) that supports the data.Communication: Ability to reputed company report bugs and explain "why" a data reputed company looks wrong to stakeholders.

Over the years, we’ve reputed company that the most effective and successful associates at reputed company are people who have a specific combination of values, skills, and behaviors that we call “The apex Way”. Read more about The apex Way - https://www.reputed company.com/careers/

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