Zolo Data Analyst Interview Questions and Answers

SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
Add your answer

Number sires, clock, logic, arithmetic, geometry

Code test basic, ans the basic knowledge, write code

Q1. What is python?
Ans. 
Python is a high-level programming language known for its simplicity and readability.
• Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.

• It emphasizes code readability and uses indentation to define code blocks.

• Python has a large standard library and a vibrant community of developers.

• Example: print('Hello, World!')

• Example: import pandas as pd
Answered by AI
View 1 more answer
Q2. What is python used for?
Ans. 
Python is a versatile programming language used for data analysis, web development, artificial intelligence, automation, and more.
• Data analysis and visualization

• Web development (Django, Flask)

• Artificial intelligence and machine learning (TensorFlow, PyTorch)

• Automation and scripting

• Scientific computing (NumPy, SciPy)
Answered by AI
View 1 more answer
Q3. What type of language is python?
Ans. 
Python is a high-level programming language known for its simplicity and readability.
• Python is an interpreted language, meaning it does not need to be compiled before running.

• It supports multiple programming paradigms, including object-oriented, imperative, and functional programming.

• Python has a large standard library and a thriving community, making it versatile and widely used.

• Example: Python is used for web develop...read more
Answered by AI
Add your answer
Q4. What is oops in python?
Ans. 
Object-oriented programming (OOP) is a programming paradigm based on the concept of 'objects', which can contain data and code.
• OOP allows for the organization of code into reusable components called classes.

• Classes can have attributes (variables) and methods (functions) associated with them.

• In Python, everything is an object, and classes can be defined using the 'class' keyword.

• Encapsulation, inheritance, and polymorph
Answered by AI
Add your answer
Q5. What is array in python?
Ans. 
An array in Python is a data structure that stores a collection of elements of the same type.
• Arrays can store elements such as integers, floats, or strings.

• Arrays are indexed starting from 0, with elements accessed using their index.

• Example: arr = ['apple', 'banana', 'cherry']
Answered by AI
Add your answer

Q1. About previous experience and some basic questions.
Add your answer

Q1. About basic to advance level of Excel, power bi
Add your answer

Q1. Why You want to join
Add your answer
Q2. Describes your self
Ans. 
I am a detail-oriented data analyst with a passion for transforming data into actionable insights to drive business decisions.
• Strong analytical skills: I excel at interpreting complex datasets to identify trends and patterns.

• Proficient in tools: I have experience with SQL, Python, and Tableau for data manipulation and visualization.

• Problem-solving mindset: I enjoy tackling challenging data-related problems, such as opt...read more
Answered by AI
Add your answer

Aptitude Test Details

Aptitude tests are commonly used by companies for hiring and by universities for entrance exams. They assess problem-solving skills, logical reasoning, and numerical ability.


---

1. Types of Questions

a) Numerical Ability

Basic Arithmetic (Percentages, Ratios, Profit & Loss)

Algebra (Equations, Inequalities)

Data Interpretation (Graphs, Charts, Tables)

Speed, Time & Distance

Probability & Permutations


b) Logical Reasoning

Number & Letter Series

Coding-Decoding

Blood Relations

Directions & Puzzles

Syllogisms


c) Verbal Ability

Reading Comprehension

Sentence Correction

Synonyms & Antonyms

Para Jumbles

Fill in the Blanks


d) General Knowledge (Sometimes Included)

Current Affairs

Business Awareness



---

2. Format

Multiple Choice Questions (MCQs)

Time-Bound (30–90 minutes depending on the test)

Negative Marking (Some tests have penalties for wrong answers)



---

3. Difficulty Level

Beginner: Basic math and logic problems.

Intermediate: Requires faster problem-solving skills.

Advanced: Complex puzzles and high-speed calculations.



---

4. Preparation Tips

Practice Previous Papers: Many companies repeat question patterns.

Use Online Platforms: Websites like Indiabix, PrepInsta, and TestBook have free practice tests.

Time Management: Solve easier questions first to maximize your score.

Learn Shortcuts: Vedic math tricks can help in numerical sections.

1. Format

Online Test: Conducted on platforms like HackerRank, CodeSignal, or LeetCode.

Onsite Test: Written or whiteboard coding during interviews.


2. Question Types

Algorithm & Data Structures: Arrays, Strings, Trees, Graphs, Dynamic Programming.

Problem-Solving: Logical reasoning and optimization.

System Design (for advanced roles): Designing scalable applications.

Debugging: Finding and fixing errors in existing code.


3. Difficulty Levels

Beginner: Basic syntax, loops, conditionals.

Intermediate: Sorting, searching, recursion.

Advanced: Complex algorithms, real-world application problems.


4. Time Duration

Typically **60–120

General Case Study Format

A case study typically follows this structure:

1. Introduction

Briefly introduce the company, problem, or industry.

Define the scope and objective of the case study.



2. Background & Context

Provide relevant details about the company or situation.

Include historical data, market position, and challenges faced.



3. Problem Statement

Clearly define the issue being analyzed.

Example: "XYZ Corp was facing declining sales despite increasing marketing spend."



4. Analysis & Approach

Use frameworks like SWOT, PESTEL, Porter’s 5 Forces, or 4Ps of Marketing.

Identify key metrics and trends.



5. Solution & Strategy

Explain the action plan taken or proposed.

Discuss alternative solutions and why the final approach was chosen.



6. Implementation & Results

Show how the solution was executed.

Provide before-and-after metrics (sales increase, cost reduction, customer growth).



7. Conclusion & Key Takeaways

Summarize the impact and lessons learned.

Aptitude Test Details

Aptitude tests are commonly used by companies for hiring and by universities for entrance exams. They assess problem-solving skills, logical reasoning, and numerical ability.


---

1. Types of Questions

a) Numerical Ability

Basic Arithmetic (Percentages, Ratios, Profit & Loss)

Algebra (Equations, Inequalities)

Data Interpretation (Graphs, Charts, Tables)

Speed, Time & Distance

Probability & Permutations


b) Logical Reasoning

Number & Letter Series

Coding-Decoding

Blood Relations

Directions & Puzzles

Syllogisms


c) Verbal Ability

Reading Comprehension

Sentence Correction

Synonyms & Antonyms

Para Jumbles

Fill in the Blanks


d) General Knowledge (Sometimes Included)

Current Affairs

Business Awareness



---

2. Format

Multiple Choice Questions (MCQs)

Time-Bound (30–90 minutes depending on the test)

Negative Marking (Some tests have penalties for wrong answers)



---

3. Difficulty Level

Beginner: Basic math and logic problems.

Intermediate: Requires faster problem-solving skills.

Advanced: Complex puzzles and high-speed calculations.



---

4. Preparation Tips

Practice Previous Papers: Many companies repeat question patterns.

Use Online Platforms: Websites like Indiabix, PrepInsta, and TestBook have free practice tests.

Time Management: Solve easier questions first to maximize your score.

Learn Shortcuts: Vedic math tricks can help in numerical sections.