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Oracle Senior Data Analyst Interview Questions and Answers

Updated 26 Jun 2024

Oracle Senior Data Analyst Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jun 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Why are you changing the company
  • Q2. What are the skills you are looking for
Round 2 - Technical 

(2 Questions)

  • Q1. What is distinct in SQL?
  • Ans. 

    DISTINCT is used in SQL to retrieve unique values from a column or set of columns.

    • DISTINCT eliminates duplicate rows from the result set

    • It is often used in SELECT statements to only return unique values

    • Example: SELECT DISTINCT column_name FROM table_name

  • Answered by AI
  • Q2. What are joins in SQL
  • Ans. 

    Joins in SQL are used to combine rows from two or more tables based on a related column between them.

    • Joins are used to retrieve data from multiple tables based on a related column

    • Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

    • Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column

  • Answered by AI

Skills evaluated in this interview

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Can speak English, can’t deliver in interviews
I feel like I can't speak fluently during interviews. I do know english well and use it daily to communicate, but the moment I'm in an interview, I just get stuck. since it's not my first language, I struggle to express what I actually feel. I know the answer in my head, but I just can’t deliver it properly at that moment. Please guide me
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Interview questions from similar companies

Senior Consultant Interview Questions & Answers

SAP user image MANJU BHAVSAR NAGARAJU

posted on 26 Nov 2021

I applied via LinkedIn and was interviewed in Oct 2021. There were 3 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. Functional , Technical, Managerial, Management
  • Q2. Negotiating Sales Pursuits, Win-Win, Win-Lose etc
  • Q3. SAP Information steward
  • Q4. SAP Data Services scenarios on Data Profiling, Data Quality
  • Ans. 

    SAP Data Services offers various scenarios for data profiling and data quality.

    • Data profiling scenarios include identifying data patterns, data completeness, and data accuracy.

    • Data quality scenarios include data cleansing, data enrichment, and data standardization.

    • SAP Data Services also offers data matching and data deduplication scenarios.

    • Examples of data profiling scenarios include identifying missing values, identif...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Best Interview experience they try to gauge the depth of knowledge

Skills evaluated in this interview

Senior Data Analyst Interview Questions Asked at Other Companies

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I applied via Naukri.com and was interviewed in Aug 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Analytical function in sql
  • Ans. 

    Analytical functions in SQL are used to perform calculations on a set of rows and return a single result for each row.

    • Analytical functions are used to calculate running totals, moving averages, and rank functions.

    • They are used with the OVER() clause to define the window of rows to be used in the calculation.

    • Examples of analytical functions include ROW_NUMBER(), RANK(), DENSE_RANK(), LAG(), LEAD(), SUM(), AVG(), MAX(), ...

  • Answered by AI
  • Q2. Scenario based informatica questions

Interview Preparation Tips

Interview preparation tips for other job seekers - The interview was simple, they asked for some specific syntax, overall not so tough

Skills evaluated in this interview

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. There will be 2 round of technical interviews, 1 manager, 1 cross LOB interview and finally the HR round
  • Ans. 2 technical, 1 manager 1 cross LOB and 1 HR Round
  • Answered by SAI P
Round 3 - Technical 

(1 Question)

  • Q1. 2 Technical, 1 manager and 1 cross LOB and 1 HR round

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well.

I applied via Job Portal and was interviewed in Dec 2019. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Explain the rating process from com to Bip
  • Ans. 

    The rating process from com to Bip involves evaluating a company's creditworthiness and assigning a rating based on various factors.

    • The process starts with gathering information about the company's financials, operations, and industry.

    • The information is analyzed to assess the company's credit risk and financial stability.

    • Based on the analysis, a rating is assigned to the company, which ranges from AAA to D.

    • The rating a...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be specific to ur answer. Don't bluff dont be over smart like u know better then the interviewer it will hurt his ego..

I applied via Recruitment Consultant and was interviewed before Jul 2020. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Explain agile ceremonies.
  • Q2. Situatiinal based

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on what is written in cv

Skills evaluated in this interview

I applied via Monster and was interviewed in Nov 2020. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Where do I work?
  • Q2. What is my salary?

Interview Preparation Tips

Interview preparation tips for other job seekers - It was a nice experience. I was happy with the interview. I want to test this review form.
Are these interview questions helpful?
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Dec 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Coding Test 

String Reverse Coding Test


User
Share Detail for coding test

ChatGPT
Certainly! I'd be happy to provide you with details for a coding test. Here's an example of a coding test description:

Title: String Reversal

Description:
Write a function that takes a string as input and returns the reverse of that string. The function should reverse the order of characters in the string and return the reversed string as the output.

Requirements:

The function should be named reverseString and take a single parameter, inputString, of type string.
The function should return a string.
The function should handle both uppercase and lowercase letters.
The function should preserve any whitespace or special characters in the input string.
The function should not use any built-in or library functions that directly solve this problem.
Example:
Input: "Hello, World!"
Output: "!dlroW ,olleH"

Note:

The input string can be of any length.
The input string may contain alphanumeric characters, whitespace, or special characters.
Evaluation Criteria:

Correctness of the solution.
Efficiency and clarity of the code.
Proper handling of edge cases and error conditions.
Adherence to coding best practices.
Please complete the task within 30 minutes and submit your solution as a single file. Feel free to use any programming language you are comfortable with.
Good luck!

Round 3 - Aptitude Test 

String Reverse Coding Test


User
Share Detail for coding test

ChatGPT
Certainly! I'd be happy to provide you with details for a coding test. Here's an example of a coding test description:

Title: String Reversal

Description:
Write a function that takes a string as input and returns the reverse of that string. The function should reverse the order of characters in the string and return the reversed string as the output.

Requirements:

The function should be named reverseString and take a single parameter, inputString, of type string.
The function should return a string.
The function should handle both uppercase and lowercase letters.
The function should preserve any whitespace or special characters in the input string.
The function should not use any built-in or library functions that directly solve this problem.
Example:
Input: "Hello, World!"
Output: "!dlroW ,olleH"

Note:

The input string can be of any length.
The input string may contain alphanumeric characters, whitespace, or special characters.
Evaluation Criteria:

Correctness of the solution.
Efficiency and clarity of the code.
Proper handling of edge cases and error conditions.
Adherence to coding best practices.
Please complete the task within 30 minutes and submit your solution as a single file. Feel free to use any programming language you are comfortable with. Good luck!





User
Share derail for amplitude test

ChatGPT
Certainly! Here's an example of a coding test description for an amplitude test:

Title: Finding Amplitude

Description:
Write a function that takes a list of integers as input and returns the amplitude of the list. The amplitude of a list is defined as the difference between the largest and smallest elements in the list.

Requirements:

The function should be named findAmplitude and take a single parameter, inputList, which is a list of integers.
The function should return an integer representing the amplitude of the input list.
The function should handle both positive and negative integers.
The function should handle an empty list as input and return 0 as the amplitude.
Example:
Input: [2, 5, 9, -1, 3, 7]
Output: 10

Explanation:
The largest element in the list is 9, and the smallest element is -1. Therefore, the amplitude is 9 - (-1) = 10.

Note:

The input list can contain duplicates.
The input list can be of any length.
Evaluation Criteria:

Correctness of the solution.
Efficiency and clarity of the code.
Proper handling of edge cases and error conditions.
Adherence to coding best practices.
Please complete the task within 30 minutes and submit your solution as a single file. Feel free to use any programming language you are comfortable with.
Good luck!

Round 4 - Group Discussion 

Certainly! Here's an example of a group discussion topic:

Topic: The Impact of Artificial Intelligence on the Job Market

Description:
In this group discussion, we will explore the impact of artificial intelligence (AI) on the job market. AI is rapidly advancing, and its integration into various industries and sectors has raised concerns about the future of work.

Points to consider:
Potential job displacement: Discuss how AI has the potential to automate tasks and replace human jobs in various fields. Explore which industries or job roles are most susceptible to automation and the potential consequences for workers.

Job creation: Explore the other side of the argument and discuss how AI can also create new job opportunities. Consider the emergence of AI-related roles such as data scientists, AI trainers, and AI ethicists. Discuss the skills and expertise required for these new job roles.

Skills and education: Discuss the importance of skills development and education in adapting to the changing job market. Explore what skills will be in high demand in an AI-driven economy and how individuals and organizations can upskill or reskill to remain relevant.

Ethical considerations: Consider the ethical implications of AI in the job market. Discuss issues such as algorithmic bias, data privacy, and the responsibility of companies and policymakers in ensuring a fair and inclusive job market.

Job market transformation: Discuss the overall transformation of the job market due to AI. Explore how AI is reshaping traditional job roles, the gig economy, and the potential for new forms of work, such as remote work and flexible arrangements.

Guidelines:

Each participant should express their thoughts and ideas clearly and respectfully.
Encourage active listening and give everyone an opportunity to speak.
Support your arguments with relevant examples or data, if possible.
Be open to different perspectives and engage in constructive debate.
Evaluation Criteria:

Clarity of thought and expression.
Ability to articulate and support arguments.
Active participation and engagement with other participants.
Respectful and collaborative attitude towards the group discussion.
Please prepare your thoughts on the topic before the discussion. The group discussion will last for approximately 30 minutes. Good luck!

Interview Preparation Tips

Interview preparation tips for other job seekers - As a data science job seeker, here are some key pieces of advice to help you in your job search:

Develop a Strong Foundation: Ensure you have a solid understanding of the fundamental concepts and techniques in data science. This includes knowledge of statistics, mathematics, programming (Python and R are commonly used), machine learning algorithms, and data manipulation.

Build a Portfolio: Create a portfolio that showcases your data science skills and projects. This could include personal projects, Kaggle competition entries, or contributions to open-source projects. A portfolio demonstrates your practical experience and can set you apart from other candidates.

Gain Practical Experience: Seek out opportunities to work on real-world data science problems. Consider internships, freelance projects, or collaborations with researchers or companies. Practical experience not only enhances your skills but also demonstrates your ability to apply your knowledge to solve real problems.

Stay Updated: Keep up with the latest developments in the field of data science. Follow blogs, participate in online forums and communities, and attend conferences or webinars. Being aware of emerging technologies, techniques, and trends shows your dedication to continuous learning and growth.

Network: Build connections within the data science community. Attend industry events, join professional organizations, and engage with professionals through social media platforms like LinkedIn and Twitter. Networking can lead to valuable job opportunities, referrals, and insights into the industry.

Customize Your Applications: Tailor your resume and cover letter for each job application. Highlight relevant skills, projects, and experiences that align with the specific requirements of the position. A personalized application shows your attention to detail and genuine interest in the role.

Prepare for Interviews: Be prepared for technical interviews that assess your data science skills. Practice coding exercises, algorithmic problem-solving, and be able to explain your projects in a clear and concise manner. Additionally, be prepared to answer behavioral and situational questions to demonstrate your problem-solving, teamwork, and communication skills.

Continuously Learn and Improve: Data science is a rapidly evolving field, so embrace a growth mindset. Seek opportunities to learn new techniques, explore new domains, and expand your skill set. Take online courses, attend workshops, or pursue advanced degrees if necessary. Show that you are committed to staying ahead of the curve.

Emphasize Communication Skills: Data scientists are not just expected to analyze data but also effectively communicate their findings to non-technical stakeholders. Develop your ability to present complex concepts in a clear and concise manner, both verbally and in written form. Strong communication skills will make you a valuable asset to any organization.

Be Persistent and Resilient: The job search process can be challenging and may require time and perseverance. Don't get discouraged by rejection or setbacks. Learn from each experience, seek feedback, and continuously refine your approach. With persistence and a positive attitude, you'll increase your chances of landing a data science job.

Remember, the field of data science is highly competitive, so it's important to stand out from the crowd. By following these tips and continuously improving your skills, you can increase your chances of securing a rewarding job in data science. Good luck with your job search!
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. What type of challenges have you faced during requirement elicitation?
  • Ans. 

    During requirement elicitation, I have faced challenges related to understanding client needs, managing conflicting requirements, and dealing with changing priorities.

    • Understanding client needs: Sometimes clients may have difficulty articulating their requirements clearly, requiring additional probing and clarification.

    • Managing conflicting requirements: Different stakeholders may have conflicting needs and priorities, ...

  • Answered by AI
  • Q2. How did you overcome those challenges?

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep your answers well articulated and with examples
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I appeared for an interview in Oct 2023.

Round 1 - One-on-one 

(1 Question)

  • Q1. How would you handle difficult stakeholders?

Oracle Interview FAQs

How many rounds are there in Oracle Senior Data Analyst interview?
Oracle interview process usually has 2 rounds. The most common rounds in the Oracle interview process are One-on-one Round and Technical.
How to prepare for Oracle Senior Data Analyst interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Oracle. The most common topics and skills that interviewers at Oracle expect are Data Analytics, Data Interpretation, Excel and Statistics.
What are the top questions asked in Oracle Senior Data Analyst interview?

Some of the top questions asked at the Oracle Senior Data Analyst interview -

  1. What is distinct in S...read more
  2. What are joins in ...read more

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Overall Interview Experience Rating

4.5/5

based on 2 interview experiences

Difficulty level

Moderate 100%

Duration

6-8 weeks 100%
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₹6 L/yr - ₹13.7 L/yr
21% less than the average Senior Data Analyst Salary in India
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