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REQUIREMENT_ID_243 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst Internship

Company
Company Featured Tech Partner
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 10,000/month
Location
Location Remote
Posted Date
Posted Date Today
Data analysis Excel SQL Python Tableau PowerBI Statistical analysis Data visualization Communication Problem solving
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Aptitude and Reasoning Practice Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills essential for the online screening test.
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Data Structures & Algorithms Interview Prep Open Resource β†—
Covers core programming concepts and problem‑solving techniques useful for technical interviews at data‑focused roles.
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Comprehensive Interview Preparation Guide Open Resource β†—
Provides curated interview questions, resume tips, and mock interview strategies for fresh graduates.
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Coding Practice Problems Open Resource β†—
Offers a wide range of coding challenges to improve coding speed and accuracy, beneficial for technical assessments.

Open to Undergraduate and Postgraduate students from Engineering, Arts, Commerce, Sciences & Others. Minimum aggregate of 60% (or CGPA 6.0/10). Must belong to the 2023‑2026 batch (or recent graduates). No active backlogs at the time of joining. Candidates should have basic knowledge of data analysis concepts and be comfortable working remotely.

1
Round 1: Online aptitude & data analysis test
2
Round 2: Technical interview focusing on SQL/Python and visualization concepts
3
Round 3: HR interview assessing cultural fit and motivation
Learntricks Edutech, a fast‑growing edutech startup that partners with Unstop to host the Tech Fair 2.0, focuses on delivering industry‑relevant learning experiences to students across India. The company builds short‑term, project‑based courses that blend theoretical concepts with real‑world data problems, helping fresh talent bridge the gap between academia and the corporate world. With a vibrant community of over 200,000 learners and a mentorship network of seasoned data professionals, Learntricks Edutech has positioned itself as a launchpad for aspiring analysts and data scientists. The Data Analyst Internship is a two‑month, part‑time, work‑from‑home opportunity designed for undergraduate, postgraduate, engineering, arts, commerce, and science students who are eager to apply analytical techniques on real datasets. Interns will be mentored by senior analysts and will contribute to ongoing projects that support Unstop’s tech‑fair initiatives, such as participant analytics, event performance dashboards, and market trend studies. The role offers a blend of exploratory data analysis, visualization, and reporting, providing a solid foundation for a future career in data analytics. **Key Responsibilities** 1. Perform basic exploratory data analysis (EDA) to uncover patterns, anomalies, and insights. 2. Create simple visualizations, charts, and interactive dashboards using tools like Tableau or Powerβ€―BI. 3. Assist in preparing data‑driven reports and slide decks for internal stakeholders. 4. Collaborate with cross‑functional team members to understand project goals and suggest analytical approaches. 5. Research industry trends, emerging tools, and best practices in data analysis. 6. Help maintain and improve internal data pipelines and analysis workflows. 7. Participate actively in virtual team meetings, sharing progress and observations. 8. Document findings and maintain a knowledge base for future reference. 9. Support ad‑hoc data requests from the marketing and product teams. 10. Contribute ideas for new analytical projects that could add value to Unstop’s events. **Tech Stack**: Excel, SQL, Python (pandas, matplotlib/seaborn), Tableau/Powerβ€―BI, Git for version control. **Growth Path**: Successful interns may receive a pre‑placement offer, transitioning into a full‑time Data Analyst role with exposure to larger datasets, advanced statistical modeling, and machine‑learning projects. The internship also provides a certificate of completion, a letter of recommendation, and a strong addition to the resume. **Why Join**: This internship offers flexible hours, a chance to work on real‑world projects without leaving home, and direct mentorship from industry practitioners. It is an ideal stepping stone for students aiming to build a career in data analytics, offering both practical experience and a pathway to future employment with Learntricks Edutech or its partner ecosystem.

Featured Tech Partner 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 🎯
Featured Tech Partner Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Featured Tech Partner 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 (Data analysis, Excel, SQL, Python, Tableau, PowerBI, Statistical analysis, Data visualization, Communication, 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
Featured Tech Partner 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 Featured Tech Partner as a Data Analyst Internship?
Preparation Tip: Highlight Featured Tech Partner's market reputation, recent tech innovations, and how your skills in Data analysis 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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