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Forbes Technologies Data Operations Executive Interview Questions and Answers
Forbes Technologies Data Operations Executive Interview Experiences
1 interview found
Selected
Excel/sheet test.
There were several questions based on sum if, countifs etc.
Also had to present the data with some charts and diagrams.
Some questions on marketing research.
(4 Questions)
- Q1. Take me through your educational and work background.
- Ans.
I have a Bachelor's degree in Computer Science and 5 years of experience in data operations.
Bachelor's degree in Computer Science
5 years of experience in data operations
- Q2. Crossed checked if the assignment is done by me or not. Plus gave some more questions to solve on the call while presenting.
- Q3. How would you handle important task? If you have 5 tasks for same day and all of them are on priority?
- Ans.
I would prioritize tasks based on deadlines, importance, and impact on overall goals.
Assess the deadlines for each task and prioritize based on urgency
Consider the importance of each task in relation to overall goals
Evaluate the impact of completing each task on the team or organization
Delegate tasks if possible to ensure all priorities are met
Communicate with stakeholders about the prioritization process
- Q4. Do you have anything to ask?
(2 Questions)
- Q1. Take through your profile?
- Ans.
I have a strong background in data operations with experience in managing data quality, data governance, and data analysis.
Over 5 years of experience in data operations
Proficient in data quality management tools such as Informatica Data Quality
Skilled in data governance practices and policies
Experienced in data analysis and reporting using SQL and Tableau
- Q2. The work needs to be done on 100% accuracy, how do you see yourself doing good with that?
(1 Question)
- Q1. Basic questions for background check.
Data Operations Executive Jobs at Forbes Technologies
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(2 Questions)
- Q1. About your self
- Q2. What is your Qualification
- Ans.
Bachelor's degree in Computer Science
Bachelor's degree in Computer Science
Specialization in data management and analysis
Relevant coursework in database management systems
Hands-on experience with data entry software
(1 Question)
- Q1. Java questions and data engineering
sandeep kolli
(1 Question)
- Q1. Missing values outliers, over fitting underfitting
(1 Question)
- Q1. Outliers missing values, overfitting underfitting
- Ans.
Understanding outliers, missing values, overfitting, and underfitting in data science.
Outliers are data points that significantly differ from other data points in a dataset.
Missing values are data points that are not present in a dataset.
Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.
Underfitting occurs when a model is too simple to capture the underlying pattern in...
Skills evaluated in this interview
Senior Data Engineer Interview Questions & Answers
CTS Consulting & Technical Support
Anonymous
posted on 17 Oct 2024
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
(1 Question)
- Q1. Spark and hive related qus
I applied via Company Website and was interviewed in Feb 2024. There were 2 interview rounds.
(2 Questions)
- Q1. 5 SQL based questions.
- Q2. 5 DSA based questions.
(2 Questions)
- Q1. 3 SQL questions to solve
- Q2. 3 DSA questions to solve
Interview Preparation Tips
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I applied via campus placement at Sastra University and was interviewed in Mar 2024. There were 2 interview rounds.
Well designed to test the aptitude competence of the candidate.
(2 Questions)
- Q1. Explanations for the answers given to the aptitude questions.
- Q2. Questions from python.
Interview Preparation Tips
I applied via Referral and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. Personal quetions
- Q2. Professional journey
Data Analyst Interview Questions & Answers
Intellipaat Software Solutions
Anonymous
posted on 12 Jan 2024
(3 Questions)
- Q1. What is key features python programming
- Ans.
Key features of Python programming include simplicity, readability, versatility, and extensive libraries.
Python is known for its simple and readable syntax, making it easy to learn and understand.
It is a versatile language that can be used for various purposes such as web development, data analysis, and artificial intelligence.
Python has a vast collection of libraries and frameworks that provide ready-to-use tools for ...
- Q2. What is pandas word?
- Ans.
Pandas is a powerful data manipulation library in Python, used for data analysis and data wrangling tasks.
Pandas is a Python library that provides data structures and functions for efficient data manipulation.
It is widely used for tasks like data cleaning, transformation, and analysis.
Pandas offers powerful tools for handling structured data, such as CSV or Excel files.
It provides functionalities like filtering, sortin...
- Q3. Different between seaborn and matplotlib
- Ans.
Seaborn is a high-level interface for statistical data visualization, while Matplotlib is a low-level library for creating basic plots.
Seaborn provides a more aesthetically pleasing and informative visual representation of data compared to Matplotlib.
Seaborn has built-in themes and color palettes that make it easier to create visually appealing plots.
Matplotlib offers more flexibility and control over plot customizatio...
Interview Preparation Tips
Skills evaluated in this interview
Testgorilla test with sql and other mcq
(1 Question)
- Q1. Deep technical with all points in resume
We have to build a data strategy based on the problem statement
(1 Question)
- Q1. Offer discussion and role
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Forbes Technologies Data Operations Executive Interview Process
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