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REQUIREMENT_ID_1796 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company 4C Consulting
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.5 LPA
Location
Location Ahmedabad, Gujarat
Posted Date
Posted Date Today
Excel Power BI Tableau SQL Python R statistical analysis data modeling data visualization problem solving communication
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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 at linkedin.com.
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Company Interview Preparation Guide Open Resource β†—
Comprehensive guide covering typical interview formats and questions asked by tech‑focused firms like linkedin.com.
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Comprehensive Interview Prep Resources Open Resource β†—
A collection of interview experiences, tips, and mock questions that help candidates prepare for technical and HR rounds at linkedin.com.
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Algorithm and Data Structure Problems Open Resource β†—
Extensive problem set to practice coding and data‑manipulation challenges often featured in technical interviews at linkedin.com.

Graduates (B.Tech/B.E., B.Sc., B.Com, MBA, or equivalent) in Data Science, Statistics, Engineering, Computer Science, Business Analytics or related fields; Minimum 60% aggregate or CGPA 6.0/10; No active backlogs; Batch years 2023‑2025 preferred; Strong analytical mindset and willingness to learn.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (focus on data concepts, tools, and case studies)
3
Round 3: HR Interview (culture fit, motivations, salary expectations)
4C Consulting Pvt. Ltd. is a fast‑growing boutique consulting firm headquartered in Ahmedabad, Gujarat. Established in 2015, the company specializes in delivering data‑driven solutions to clients across manufacturing, retail, and financial services. By leveraging advanced analytics, process‑improvement methodologies, and modern visualization tools, 4C helps organizations turn raw data into actionable insights that drive efficiency and profitability. The firm prides itself on a collaborative culture where fresh ideas are welcomed, and every employee gets the chance to work on real‑world business problems. The Data Analyst role at 4C Consulting is a full‑time, on‑site position designed for recent graduates with a strong foundation in statistics, data manipulation, and business intelligence. As a Data Analyst, you will be part of a cross‑functional team that partners with senior consultants to understand client requirements, clean and transform large datasets, and build visual dashboards that communicate key performance indicators. This role offers exposure to a variety of industries, allowing you to develop a versatile skill set while contributing directly to client success. **Key Responsibilities** 1. Collect, clean, and validate data from multiple sources including databases, spreadsheets, and APIs. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Develop statistical models and predictive analytics to support business decisions. 4. Design and maintain interactive dashboards using Power BI and Tableau. 5. Generate regular and ad‑hoc reports for internal stakeholders and external clients. 6. Collaborate with domain experts to translate business problems into analytical solutions. 7. Document data pipelines, methodologies, and findings in clear, concise formats. 8. Identify opportunities for process automation and efficiency improvements. 9. Ensure data quality and compliance with company standards. 10. Stay updated with emerging analytics tools and best practices. **Tech Stack**: Microsoft Excel, Power BI, Tableau, SQL, Python (pandas, numpy), R, statistical packages, and basic data‑engineering concepts. **Growth Path**: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to Consulting Analyst, and eventually to Manager or Director of Analytics within 3‑5 years, depending on performance and skill acquisition. **Why Join 4C Consulting?** The firm offers a vibrant learning environment, mentorship from seasoned consultants, and the chance to work on impactful projects from day one. Competitive compensation, performance‑linked bonuses, and a clear career roadmap make it an attractive launchpad for aspiring data professionals.

4C Consulting 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 🎯
4C Consulting Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for 4C Consulting 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 (Excel, Power BI, Tableau, SQL, Python, R, statistical analysis, data modeling, data visualization, 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
4C Consulting 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 4C Consulting as a Data Analyst?
Preparation Tip: Highlight 4C Consulting's market reputation, recent tech innovations, and how your skills in Excel 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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