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REQUIREMENT_ID_301 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst Internship

Company
Company Zenotalent
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή20,000 per month stipend
Location
Location Remote
Posted Date
Posted Date Today
SQL Python Excel Data cleaning Data visualization Tableau Power BI Statistical analysis Problem solving Communication
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Aptitude and Reasoning Practice Open Resource β†—
Comprehensive set of quantitative and logical reasoning questions to sharpen problem‑solving skills required for the online test.
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Interview Preparation Guide Open Resource β†—
Curated interview questions and strategies that help candidates tackle common data‑analysis interview scenarios.
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Zenotalent Data Analyst Interview Insights Open Resource β†—
Specific resources covering the interview pattern, sample questions and tips for Zenotalent’s data analyst role.
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Algorithm and Data Structure Problems Open Resource β†—
Practice problems to improve coding proficiency in Python, essential for data manipulation and automation tasks.

Open to undergraduate and postgraduate students from Engineering, Management, Arts, Commerce, Science or any other stream. Must be a fresher with no prior full‑time work experience. Minimum academic aggregate of 60% (or equivalent CGPA) is preferred. No active backlogs allowed at the time of joining. Candidates from the 2025, 2026 or 2027 graduating batches are eligible to apply.

1
Round 1: Online aptitude and data‑analysis test
2
Round 2: Technical interview focusing on SQL/Python and case studies
3
Round 3: HR interview assessing cultural fit and motivation
Zenotalent is a fast‑growing, technology‑driven organization that helps businesses unlock the power of data to make smarter decisions. Founded with a vision to democratise data insights, the company works across multiple verticals such as e‑commerce, fintech, and healthcare, delivering analytics solutions that drive revenue, optimise operations and enhance customer experiences. The culture at Zenotalent is built around continuous learning, mentorship from seasoned data professionals, and a collaborative environment where fresh ideas are encouraged and quickly prototyped. As a Data Analyst Intern, you will be immersed in real‑world projects that have a direct impact on client outcomes. You will work closely with senior analysts and product managers to understand business problems, gather and clean data from diverse sources, and translate raw information into actionable insights. This internship is designed to give you hands‑on exposure to the end‑to‑end analytics lifecycle, from data ingestion to visual storytelling, while sharpening your technical and analytical skills. Key responsibilities include: 1. Collecting, cleaning, and organising large, heterogeneous datasets from internal databases and external APIs. 2. Conducting exploratory data analysis to uncover trends, patterns, and anomalies. 3. Building and maintaining interactive dashboards using tools like Tableau or Powerβ€―BI. 4. Writing SQL queries to extract, transform, and load (ETL) data for reporting. 5. Developing Python scripts for data manipulation, statistical modelling, and automation of repetitive tasks. 6. Collaborating with cross‑functional teams to define key performance indicators (KPIs) and business metrics. 7. Preparing concise data visualisations and presenting findings to stakeholders in a clear, business‑focused manner. 8. Assisting in the documentation of data pipelines, analytical methods, and best practices. 9. Supporting ad‑hoc analytical requests and contributing to ongoing research projects. 10. Continuously learning new tools and techniques to improve analytical efficiency. The tech stack you will be exposed to includes SQL, Python (pandas, numpy, matplotlib), Excel, Tableau/Powerβ€―BI, and basic cloud services for data storage. Successful interns often progress to full‑time analyst roles, with opportunities to specialise in data engineering, business intelligence, or data science, depending on performance and interest. Joining Zenotalent means becoming part of a forward‑thinking team that values curiosity, offers mentorship, and provides a clear growth trajectory for aspiring analysts.

Zenotalent 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 🎯
Zenotalent Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Zenotalent 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, Python, Excel, Data cleaning, Data visualization, Tableau, Power BI, Statistical analysis, Problem solving, Communication) & 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
Zenotalent 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 Zenotalent as a Data Analyst Internship?
Preparation Tip: Highlight Zenotalent'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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