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REQUIREMENT_ID_1716 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst Intern

Company
Company Cliqonnect
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000 per month
Location
Location Mumbai, Maharashtra, India
Posted Date
Posted Date Today
SQL Microsoft Excel Python Pandas NumPy Tableau Power BI Data Analysis Data Visualization Problem Solving
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to sharpen the analytical skills needed for the online test.
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Company Interview Preparation Guide Open Resource β†—
Comprehensive interview tips and sample questions that align with the typical interview flow at cliqonnect.darwinbox.in.
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Comprehensive Interview Prep Resources Open Resource β†—
A collection of resources covering technical concepts, case studies, and HR questions to help you ace all interview rounds.
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Algorithm and Data Structure Problems Open Resource β†—
Practice coding challenges to strengthen Python and problem‑solving abilities, essential for the technical interview.

Pursuing or completed B.Tech/M.Tech/BE/M.Sc in Engineering, Computer Science, Statistics, Economics or related fields; Minimum 60% aggregate (or equivalent CGPA); No active backlogs; Expected graduation batch 2024‑2027; Strong analytical mindset and willingness to learn.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (SQL, Excel, Python)
3
Round 3: HR Interview
Tata CLiQ, a flagship e‑commerce venture of the Tata Group, blends the best of online and offline shopping experiences. Backed by Tata Unistore’s robust technology stack, the platform serves millions of customers across India with a wide range of products, from fashion to electronics. The company prides itself on a data‑driven culture where insights from large‑scale datasets shape product assortment, pricing strategies, and personalized marketing campaigns. Working at Tata CLiQ means being part of a forward‑thinking ecosystem that values innovation, customer obsession, and continuous learning. As a Data Analyst Intern, you will be immersed in real‑world business problems, collaborating with cross‑functional teams such as Marketing, Product, and Operations. The role offers a hands‑on experience in extracting, cleaning, and interpreting massive datasets to uncover actionable insights. You will develop dashboards that influence strategic decisions, support business stakeholders with data‑backed recommendations, and ensure the integrity of the data pipeline. This internship is designed for fresh talent eager to translate raw data into meaningful stories that drive growth. **Key Responsibilities** 1. Extract, clean, and transform large datasets from relational databases and cloud storage. 2. Write optimized SQL queries for data retrieval, aggregation, and manipulation. 3. Perform exploratory data analysis using Excel and Python (Pandas, NumPy). 4. Design and develop interactive dashboards in Tableau and Powerβ€―BI. 5. Generate regular performance reports for marketing and product teams. 6. Identify data quality issues and implement corrective measures. 7. Assist in building data models to support predictive analytics initiatives. 8. Communicate findings clearly through visualizations and written summaries. 9. Support ad‑hoc analytical requests from business stakeholders. 10. Document processes and maintain a knowledge base for future reference. **Tech Stack**: SQL, Microsoft Excel (advanced functions, pivot tables), Python (Pandas, NumPy), Tableau, Powerβ€―BI, basic understanding of data warehousing and ETL concepts. **Growth Path**: Successful interns may receive a full‑time offer as a Junior Data Analyst, with clear progression to Data Analyst, Senior Analyst, and eventually Data Scientist or Analytics Manager roles, depending on performance and skill development. **Why Join Tata CLiQ**: You will work in a vibrant, data‑centric environment backed by the Tata brand’s credibility. The internship provides mentorship from seasoned analysts, exposure to cutting‑edge analytics tools, and the chance to impact a high‑traffic e‑commerce platform directly. It is an ideal springboard for a career in analytics, offering both technical depth and business acumen.

Cliqonnect 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 🎯
Cliqonnect Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Cliqonnect 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, Python, Pandas, NumPy, Tableau, Power BI, Data Analysis, Data Visualization, 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
Cliqonnect 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 Cliqonnect as a Data Analyst Intern?
Preparation Tip: Highlight Cliqonnect'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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