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Oracle Data Analyst Interview Questions and Answers
Oracle Data Analyst Interview Experiences
2 interviews found
Selected
Learn and study about Aptitude like Quantitative aptitude, verbal and reasoning. Practice more and attend more mock test
(1 Question)
- Q1. What is SQL ? What are the market trend
- Ans.
SQL is a programming language used for managing and manipulating relational databases.
SQL stands for Structured Query Language.
It is used to communicate with and manipulate databases.
SQL can be used to create, modify, and retrieve data from databases.
It is widely used in data analysis and data management roles.
Some popular relational database management systems that use SQL include MySQL, Oracle, and SQL Server.
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Jun 2023. There were 3 interview rounds.
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Data Analyst Interview Questions & Answers
Automatic Data Processing (ADP)
Anonymous
posted on 29 Dec 2024
It is nice to do work
It helps in understanding the 5
It helps a lot in company
(5 Questions)
- Q1. How to do job in company?
- Q2. What I should do?
- Q3. How to do work?
- Q4. What should I do
- Q5. What is the goal?
- Ans.
The goal of a Data Analyst is to analyze data to extract valuable insights and make data-driven decisions.
Identify trends and patterns in data
Create visualizations to communicate findings
Provide actionable recommendations based on data analysis
I applied via AmbitionBox and was interviewed in Dec 2024. There were 2 interview rounds.
Aptitude test for selection.
(2 Questions)
- Q1. What is your understanding of data analytics?
- Ans.
Data analytics involves analyzing raw data to draw conclusions and make informed decisions.
Data analytics involves collecting, processing, and analyzing data to identify trends and patterns.
It helps businesses make data-driven decisions and improve performance.
Techniques used in data analytics include data mining, machine learning, and statistical analysis.
Examples of data analytics in action include predicting custome...
- Q2. What is the significance of data analytics in analyzing and visualizing data?
- Ans.
Data analytics is crucial for extracting insights and patterns from data, and visualizing them in a meaningful way.
Data analytics helps in identifying trends, patterns, and correlations within large datasets.
It enables businesses to make informed decisions based on data-driven insights.
Visualizations such as charts, graphs, and dashboards make complex data easier to understand and interpret.
Data analytics can uncover h...
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I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
(1 Question)
- Q1. Basic of python , sql, pandas,niumpy
(1 Question)
- Q1. Gave me a task to make web app for medical condition detection after clearing first round asked questions relted to it
I applied via Walk-in and was interviewed in Mar 2024. There was 1 interview round.
(2 Questions)
- Q1. Introduction about our self
- Ans.
I am a data analyst with 5 years of experience in analyzing and interpreting complex data sets to drive business decisions.
I have a strong background in statistical analysis and data visualization techniques.
Proficient in SQL, Python, and Tableau for data manipulation and reporting.
Experience in developing predictive models and conducting A/B testing to optimize marketing strategies.
- Q2. Complete discussion about projects
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Selected
I applied via LinkedIn and was interviewed in Dec 2023. There was 1 interview round.
Find the Highest profit by geo
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I applied via Campus Placement and was interviewed in Sep 2023. There was 1 interview round.
KPI's for the ecommerce industries
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Selected
I applied via LinkedIn and was interviewed in Dec 2022. There were 3 interview rounds.
Contains math aptitide and basic tableau questions
Sql coding test with joins sub queries and stored procedures
Interview Preparation Tips
I was interviewed in Jan 2022.
(2 Questions)
- Q1. Dense rank and row number differenxw
- Ans.
Difference between dense rank and row number
Dense rank assigns the same rank to ties, while row number assigns a unique rank to each row
Dense rank skips ranks when there are ties, while row number does not
Dense rank is used to calculate percentiles, while row number is used for pagination
- Q2. Sql and nosql diff? Python functions
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Oracle Data Analyst Interview Process
based on 2 interviews
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Oracle Data Analyst Reviews and Ratings
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