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REQUIREMENT_ID_122 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst Intern

Company
Company Bebee
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή2,500–₹8,000 per month
Location
Location Nagpur
Posted Date
Posted Date Yesterday
Data analysis SQL Python Excel Tableau PowerBI Data cleaning Statistical fundamentals Communication Problem solving
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Aptitude Practice Questions Open Resource β†—
Curated set of quantitative and logical problems to sharpen reasoning skills required for the online test at bebee.com.
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Company Interview Preparation Guide Open Resource β†—
Comprehensive guide covering common interview formats and sample questions to help candidates prepare for bebee.com interviews.
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Comprehensive Interview Prep Resources Open Resource β†—
A collection of interview tips, mock questions, and resume building advice useful for landing the data analyst internship at bebee.com.
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Algorithm and Data Structure Problem Set Open Resource β†—
Extensive problem set to practice coding and analytical thinking, beneficial for technical rounds at bebee.com.

Graduates (B.Tech/B.E., B.Sc., MCA, B.Com) from any stream with a focus on Computer Science, Information Technology, Electronics, Statistics or related fields. Minimum aggregate 60% (or CGPA 6.0/10). Must belong to the 2024‑2026 batch. No active backlogs at the time of joining. Candidates should have basic knowledge of data handling tools (Excel, SQL, Python) and strong analytical mindset.

1
Round 1: Online aptitude & logical reasoning test
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Round 2: Technical interview covering SQL, Python basics, and data‑visualisation concepts
3
Round 3: HR interview focusing on fit, motivation, and communication skills
Clustor Computing is an emerging technology firm headquartered in Nagpur, Maharashtra. Founded in 2020, the company specializes in cloud‑based data platforms, analytics solutions, and AI‑driven insights for small and medium enterprises across India. With a lean team of engineers, data scientists, and product designers, Clustor aims to democratize advanced analytics by building affordable, scalable tools that help businesses make data‑driven decisions. The organization fosters a culture of continuous learning, encouraging interns and fresh graduates to experiment with the latest data technologies while contributing to real‑world projects. The Data Analyst Intern role is designed for enthusiastic freshers who are eager to translate raw data into actionable business intelligence. Working closely with senior analysts and product managers, the intern will gain hands‑on experience in data collection, cleaning, visualization, and reporting. This position offers a unique blend of technical exposure and business acumen, allowing the candidate to understand how data influences product strategy and client outcomes. Key Responsibilities: 1. Assist in collecting, organizing, and analysing data from various internal and external sources. 2. Perform data cleaning, validation, and quality‑assurance procedures to ensure accuracy. 3. Prepare reports, dashboards, and presentations that communicate data findings to stakeholders. 4. Apply basic statistical techniques and data‑analysis methods to extract actionable insights. 5. Collaborate with team members to support data‑driven decision‑making across projects. 6. Stay updated with industry trends and best practices in data analytics. 7. Work alongside senior developers and project stakeholders to understand requirements and objectives. 8. Contribute to the documentation of data pipelines and analytical processes. 9. Participate in knowledge‑sharing sessions and internal hackathons. 10. Continuously learn emerging technologies and tools relevant to data analytics. Tech Stack: The internship will primarily involve Python (Pandas, NumPy), SQL for database querying, Microsoft Excel for quick analysis, and visualization tools such as Tableau or Powerβ€―BI. Exposure to cloud platforms like AWS or Azure and basic understanding of statistical packages (R or Python’s SciPy) is a plus. Growth Path: Successful interns may be offered a full‑time Data Analyst position, with clear pathways to Senior Analyst, Data Engineer, or Data Scientist roles based on performance and skill development. The company encourages certifications and continuous upskilling, supporting employees through mentorship and training budgets. Why Join Clustor Computing? As a fast‑growing startup, Clustor offers a vibrant environment where ideas are heard and impact is visible from day one. Interns receive mentorship from industry‑experienced professionals, work on live client projects, and gain a portfolio of real‑world analytics deliverables. The on‑site setting in Nagpur provides a collaborative workspace, while the stipend range reflects the company’s commitment to rewarding talent. Overall, this internship is an excellent stepping stone for fresh graduates aiming to build a solid foundation in data analytics, develop a professional network, and launch a rewarding career in the data domain.

Bebee 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 🎯
Bebee Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Bebee 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, SQL, Python, Excel, Tableau, PowerBI, Data cleaning, Statistical fundamentals, 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
Bebee 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 Bebee as a Data Analyst Intern?
Preparation Tip: Highlight Bebee'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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