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C2fo Business Data Analyst Interview Questions and Answers
C2fo Business Data Analyst Interview Experiences
1 interview found
Anonymous
I applied via LinkedIn and was interviewed in Sep 2021. There were 5 interview rounds.
Interview Questionnaire
2 Questions
- Q1. Final Salary Discussion
- Q2. General Round with VP
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Interview Questionnaire
2 Questions
- Q1. SQL and Excel were the key that helped me get this job.
- Q2. Puzzles
Pratik Chaudhari
I applied via Referral
Interview Preparation Tips
Experience: Sent resume to an HR through Linkedin and got the call for interview
Round: Technical Interview
Experience: Had 3 rounds of technical interviews with Product Owner, Product Manager and VP Product. Most of the questions were related to maths, statistics and a few on machine learning. Even though I did not have much background on these, I was asked to give my inputs and try to find a solution. We discussed recommendation engines for Quora, Linkedin and e-commerce websites. Then they asked me how can we remove the bias that comes in the practo ratings of the doctors due to feedback from various channels. How can we identify if the customer is booking an appointment by looking at reviews or ratings? How can we identify spam reviews before publishing them? How can we build a product which can help users write a better quality review? Most of the questions were related to data science and how we can improve the products using data. The data analyst role for which I was being interviewed, was a first of its kind role in Practo. The JD was to basically work with the product team and help them in improving products, building new features etc. using data science/ data analytics.
Skills: Product Sense, Attitude, Data Science, Data Analysis, Basics Of Machine Learning
College Name: IIT Madras
Motivation: being the leader of the healthcare industry, high growth startup, opportunity to solve interesting problems using data
Jaganmohan Reddy
I applied via Walk-in and was interviewed before Feb 2021. There were 3 interview rounds.
(1 Question)
- Q1. Tell me about yourself.
Interview Preparation Tips
(1 Question)
- Q1. Introduction of yourself
- Ans.
Data analyst with a passion for transforming data into actionable insights, skilled in SQL, Python, and data visualization.
Educational background in Statistics and Data Science.
Experience with data visualization tools like Tableau and Power BI.
Proficient in SQL for database management and querying.
Worked on a project analyzing customer behavior to improve marketing strategies.
Strong analytical skills demonstrated throu...
Assignment of Google sheets
(2 Questions)
- Q1. Self introduction
- Q2. What do you know about analysis and logical reasoning
- Ans.
Analysis and logical reasoning involve examining data, identifying patterns, and drawing conclusions based on evidence.
Analysis involves breaking down complex information into smaller components for better understanding.
Logical reasoning is the process of using rational thinking to make sense of information and draw valid conclusions.
Analytical skills are essential for interpreting data accurately and making informed d...
Interview Preparation Tips
I applied via LinkedIn and was interviewed in May 2023. There were 3 interview rounds.
Send assignment doings MS Excel
(2 Questions)
- Q1. Asked about the previous project
- Q2. What about your roles in previous company
Interview Preparation Tips
- Excel
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. How do u rate yourself
Interview Preparation Tips
I applied via Referral and was interviewed before Jul 2021. There was 1 interview round.
(1 Question)
- Q1. Work experiance and process knowledge
Interview Preparation Tips
Selected
I applied via IIM Jobs and was interviewed before Mar 2023. There were 3 interview rounds.
SQL + Python based questions
(2 Questions)
- Q1. More SQL + simple aptitude problems
- Q2. Questions on joins, group by etc. Other questions on average speed, guesstimates.
A data set was given and the questions were asked around strategies to handle cancellations.
Interview Preparation Tips
- SQL
- Case Studies
(1 Question)
- Q1. Data Analysis using python
- Ans.
Data analysis using Python involves using libraries like Pandas and NumPy to manipulate and analyze data.
Use Pandas for data manipulation and analysis
Use NumPy for numerical operations on data
Visualize data using libraries like Matplotlib or Seaborn
Perform statistical analysis using SciPy library
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