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REQUIREMENT_ID_1027 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst Internship

Company
Company Codeatrix
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000 per month
Location
Location Remote
Posted Date
Posted Date Sep 21, 2026
SQL Microsoft Excel Data Cleaning Data Validation Analytical Thinking Attention to Detail Communication Basic Python Problem Solving
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills essential for the online aptitude test.
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Interview Preparation Guide Open Resource β†—
Provides a collection of common interview questions and strategies useful for the technical round at data‑focused companies.
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Data Analyst Role Preparation Open Resource β†—
Focused material on SQL queries, Excel functions and data‑cleaning techniques tailored for Codeatrix internship expectations.
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Algorithm Practice Problems Open Resource β†—
Offers a wide range of coding problems to improve problem‑solving speed, beneficial for any technical assessment.

Graduates (B.Tech, B.Sc, B.Com, MCA, BBA) from the 2023‑2026 batch; minimum 60% aggregate or CGPA 6.0/10; no active backlogs; strong interest in data analytics; basic knowledge of SQL and Excel; good communication skills; willingness to work remotely.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (SQL & Excel)
3
Round 3: HR Interview
Codeatrix is a fast‑growing technology solutions provider that focuses on data‑driven products for businesses across India. Founded by a team of seasoned data scientists and software engineers, the company has built a reputation for delivering actionable insights that help clients optimise operations, improve customer experience and drive revenue. With a culture that encourages continuous learning, Codeatrix invests heavily in upskilling its talent through mentorship programmes, internal hackathons and regular knowledge‑sharing sessions. The firm operates on a remote‑first model, allowing employees to collaborate across geographies while maintaining a strong sense of community. The Data Analyst Internship at Codeatrix offers fresh graduates a hands‑on opportunity to work on real‑world datasets and contribute to decision‑making processes. Interns will be embedded within the analytics team, reporting to senior analysts and product managers. The role is designed to build a solid foundation in data extraction, cleaning, validation and visualization, while exposing interns to industry‑standard tools and best practices. Throughout the 3‑month stint, interns will receive regular feedback, access to online learning resources and the chance to present their findings to senior leadership. Key Responsibilities: 1. Interpret large datasets to uncover patterns, trends and actionable insights. 2. Write, optimise and execute SQL queries for data retrieval and manipulation. 3. Cleanse data by identifying and rectifying missing, inconsistent or duplicate records. 4. Validate data for accuracy, consistency and completeness before analysis. 5. Utilise Microsoft Excel for data organisation, pivot‑tables, advanced formulas and basic visualisations. 6. Assist in preparing structured data sets for reporting and analytical projects. 7. Review analytical outputs and communicate observations clearly to cross‑functional teams. 8. Maintain organised documentation of data workflows, scripts and findings. 9. Support the creation of simple dashboards and visual reports. 10. Contribute ideas for process improvements and automation. Tech Stack: SQL, Microsoft Excel, basic Python (pandas), data‑visualisation tools (Power BI or Tableau), Git for version control. The internship serves as a launchpad for a full‑time analyst role, with high‑performing interns often offered permanent positions. Codeatrix values curiosity, analytical rigor and teamwork, making it an ideal environment for fresh talent eager to grow in the data domain. Joining Codeatrix means gaining exposure to diverse industry verticals, working alongside seasoned professionals and building a portfolio of projects that can accelerate a data‑career trajectory.

Codeatrix β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Codeatrix Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Codeatrix and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (SQL, Microsoft Excel, Data Cleaning, Data Validation, Analytical Thinking, Attention to Detail, Communication, Basic Python, Problem Solving) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Codeatrix Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Codeatrix as a Data Analyst Internship?
Preparation Tip: Highlight Codeatrix's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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