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Oracle Cerner Data Analyst Interview Questions and Answers
Oracle Cerner Data Analyst Interview Experiences
2 interviews found
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 applied via Naukri.com and was interviewed in Nov 2020. There was 1 interview round.
Interview Questionnaire
3 Questions
- Q1. Basics of Python(Pandas)
- Q2. Advanced SQL functions
- Q3. Concepts of Statistics in brief
- Ans.
Statistics is the study of collecting, analyzing, and interpreting data.
Descriptive statistics summarize and describe data
Inferential statistics make predictions and draw conclusions about a population based on a sample
Hypothesis testing is used to determine if there is a significant difference between groups
Regression analysis is used to model the relationship between variables
Probability theory is used to quantify un...
Interview Preparation Tips
The interview process did not make me feel nervous at any point
Interview questions from similar companies
I applied via Referral and was interviewed in Nov 2019. There were 5 interview rounds.
Interview Questionnaire
5 Questions
- Q1. Hands on experience on visualization tools like Power BI, sisense
- Q2. About saas industry
- Q3. Case study giving a situation or a problem to solve w.r.t your profile
- Q4. Most complex solution delieved in previous company
- Ans.
Implemented a machine learning model to predict customer churn using advanced algorithms
Developed a predictive model using logistic regression, random forest, and gradient boosting
Utilized feature engineering techniques to improve model performance
Integrated the model into the company's CRM system for real-time predictions
- Q5. Questions on projects
Interview Preparation Tips
I applied via Referral and was interviewed in Mar 2020. There were 5 interview rounds.
Interview Questionnaire
4 Questions
- Q1. Projects, Out of box thinking
- Q2. Few significant accomplishments in previous companies
- Ans.
Implemented data-driven strategies to increase revenue by 15% in previous company.
Developed predictive models to optimize pricing strategies
Identified key customer segments for targeted marketing campaigns
Automated data collection and analysis processes for efficiency
Collaborated with cross-functional teams to implement data-driven decisions
- Q3. Tools and technologies
- Q4. Case study. Problem statement given and asked to provide a solution
Interview Preparation Tips
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
Data Analyst Interview Questions & Answers
Automatic Data Processing (ADP)
Anonymous
posted on 7 May 2024
(1 Question)
- Q1. Some questions on background, why this role
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 Campus Placement and was interviewed in Sep 2023. There was 1 interview round.
KPI's for the ecommerce industries
Interview Preparation Tips
Mohammad Nezam
(1 Question)
- Q1. Moslty sql window functions
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
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Oracle Cerner Data Analyst Interview Process
based on 1 interview
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Oracle Cerner Data Analyst Reviews and Ratings
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Automatic Data Processing (ADP)
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