Spinny Data Analyst Interview Questions and Answers

Q1. What’s your previous experience
Ans. 
I have 3 years of experience as a data analyst in the finance industry.
• Worked with large datasets to extract meaningful insights

• Performed data cleaning, transformation, and visualization

• Created and maintained dashboards and reports for stakeholders

• Conducted statistical analysis and built predictive models

• Collaborated with cross-functional teams to identify business opportunities
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Q2. What’s your skills for the current role
Ans. 
I have strong skills in data analysis, including proficiency in statistical analysis, data visualization, and programming languages such as Python and SQL.
• Proficient in statistical analysis techniques

• Skilled in data visualization using tools like Tableau

• Strong programming skills in Python and SQL

• Experience with data cleaning and preprocessing

• Ability to interpret and communicate insights from data

• Familiarity with machin...read more
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Technica questions related to sql

Q1. Some technical questions related to sql and advance excel .
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Q1. Some questions related to cars insurance and second cars
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Q1. Salary discussion and some hr questions
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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
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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)
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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
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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
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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']
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SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
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It was about common analytics concepts

Q1. How many red cars estimate in bangalore
Ans. 
It is impossible to accurately estimate the number of red cars in Bangalore without specific data.
• Estimating the number of red cars in Bangalore would require access to vehicle registration data, which is not readily available.

• Factors such as the total number of cars in Bangalore, the percentage of red cars among them, and the distribution of red cars across the city would need to be considered.

• One could potentially co...read more
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Q2. What will be approach to estimate next year revenue
Ans. 
To estimate next year revenue, I would analyze historical data, market trends, and potential growth opportunities.
• Analyze historical revenue data to identify patterns and trends

• Consider market trends and economic indicators that may impact revenue

• Evaluate potential growth opportunities such as new product launches or market expansions

• Use forecasting techniques such as regression analysis or time series analysis

• Consult ...read more
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Q1. Exploratory discussion
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Q1. SQL Excel and Tableau
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Q1. Why are you looking for a change?
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Q2. Tell me about yourself.
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Q3. What are your salary expectations?
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Q4. Share details of your previous job.
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