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Optum Global Solutions
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Optum Global Solutions Associate Data Analyst Interview Questions and Answers
Optum Global Solutions Associate Data Analyst Interview Experiences
6 interviews found
Anonymous
Selected
I applied via Recruitment Consulltant and was interviewed before Jun 2023. There were 2 interview rounds.
Coding questions were asked and if we complete half of the program they will shortlist
(1 Question)
- Q1. Fibonacci series in python
- Ans.
Fibonacci series in Python is a sequence of numbers where each number is the sum of the two preceding ones.
Use a loop to generate the Fibonacci series.
Start with two initial numbers (0 and 1) and add them to get the next number in the series.
Repeat this process to generate the entire series.
Skills evaluated in this interview
Selected
I applied via Company Website and was interviewed before Mar 2023. There were 3 interview rounds.
Simple SQL knowledge test contained questions with options
(1 Question)
- Q1. Writing SQL queries mostly based on joins, subquery, window functions. Difficulty level was intermediate
(1 Question)
- Q1. Final round was with the hiring Manager. He/She will test your behavioural skills and whether you are fit for this role.
Selected
I applied via Referral and was interviewed before Feb 2023. There were 3 interview rounds.
(1 Question)
- Q1. Basic SQL functions and scenario based questions
(1 Question)
- Q1. SQL and Data warehousing questions of difficulty level 3/5
(1 Question)
- Q1. Basic HR questions which contained behavioral round
Interview Preparation Tips
- SQL
- Pythone
- Power BI
Selected
I applied via Referral and was interviewed before Apr 2022. There were 2 interview rounds.
(2 Questions)
- Q1. 1. Joins 2. Guesstimates 3. Puzzles
- Q2. Python basics. Read about encapsulation.
Interview Preparation Tips
Optum Global Solutions interview questions for designations
I applied via Recruitment Consulltant and was interviewed before Jun 2021. There were 2 interview rounds.
Basic js problems and questions about react and node and angular
(1 Question)
- Q1. Db questions and project and front and backend questions
Interview Preparation Tips
I applied via Referral and was interviewed in May 2021. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. SAS and SQL related questions were asked
Interview Preparation Tips
Associate Data Analyst Jobs at Optum Global Solutions
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Selected
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Can you provide an overview of your background, including your past experiences and daily activities, as well as the tools you use in your routine?
- Q2. What are the concepts of advanced Excel and Power BI projects, and how are they utilized within a company or for clients?
(2 Questions)
- Q1. Can you explain your project experience related to Advanced Excel and Power BI?
- Q2. What are the concepts of credit and operations, particularly in relation to Know Your Customer (KYC) procedures and the privacy of client data?
Interview Preparation Tips
(2 Questions)
- Q1. What is the importance of data analysis?
- Q2. What steps should be taken to become a data analyst?
(3 Questions)
- Q1. Difference between bagging and boosting
- Ans.
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model c...
- Q2. Parameters of Decision Tree
- Ans.
Parameters of a Decision Tree include max depth, min samples split, criterion, and splitter.
Max depth: maximum depth of the tree
Min samples split: minimum number of samples required to split an internal node
Criterion: function to measure the quality of a split (e.g. 'gini' or 'entropy')
Splitter: strategy used to choose the split at each node (e.g. 'best' or 'random')
- Q3. Explain any one of your project in detail
- Ans.
Developed a predictive model to forecast customer churn in a telecom company
Collected and cleaned customer data including usage patterns and demographics
Used machine learning algorithms such as logistic regression and random forest to build the model
Evaluated model performance using metrics like accuracy, precision, and recall
Provided actionable insights to the company to reduce customer churn rate
Skills evaluated in this interview
I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
(2 Questions)
- Q1. Gave one easy question and asked what will be the output
- Q2. Leetcode 2 sum question
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Optum Global Solutions Associate Data Analyst Interview Process
based on 4 interviews
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Optum Global Solutions Associate Data Analyst Reviews and Ratings
based on 24 reviews
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