AmbitionBox
Interview Questions
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
i
NIKE
Compare
Filter interviews by
Clear (1)
NIKE Senior Data Analyst Interview Questions and Answers
NIKE Senior Data Analyst Interview Experiences
1 interview found
Anonymous
Selected
I applied via Approached by Company and was interviewed before Feb 2023. There were 3 interview rounds.
(1 Question)
- Q1. 1. Basic SQL questions including aggregations, window functions etc. 2. Project & resume walkthrough
1. Guesstimates - How many Nike shoes are sold in India
(1 Question)
- Q1. Generic HR questions - why I want to quit the current company? Why Nike?
Top trending discussions
Interview questions from similar companies
I applied via Naukri.com and was interviewed before Feb 2021. There were 4 interview rounds.
(3 Questions)
- Q1. Questions on algorithm, coding hands on
- Q2. Core technical questions, scenario based
- Q3. Conceptual questions
(3 Questions)
- Q1. Coding hands on check
- Q2. Scenario based technical questions
- Q3. Architecture based questions
(3 Questions)
- Q1. Project related questions
- Q2. Case studies based questions
- Q3. Core technical questions based on resume
(6 Questions)
- Q1. What are your salary expectations?
- Ans.
I would expect a competitive salary based on my experience and the responsibilities of the role.
Research the average salary range for Senior Data Engineers in your location and industry.
Consider your years of experience, technical skills, and any additional certifications or qualifications.
Be prepared to negotiate and discuss benefits and perks as part of the overall compensation package.
- Q2. What is your family background?
- Ans.
My family background is diverse and multicultural, with members from different countries and professions.
My parents are from different countries, which has exposed me to different cultures and perspectives.
My father is a doctor and my mother is an engineer, which has influenced my interest in both fields.
I have relatives who are teachers, artists, and entrepreneurs, which has given me a well-rounded understanding of di...
- Q3. Why are you looking for a change?
- Ans.
Seeking new challenges and growth opportunities in a dynamic and innovative environment.
Looking for a change to expand my skill set and knowledge.
Seeking new challenges and opportunities for professional growth.
Interested in working in a dynamic and innovative environment.
Want to contribute to a company that aligns with my values and goals.
Desire to work with cutting-edge technologies and tools.
Looking for a better wor...
- Q4. Where do you see yourself in 5 years?
- Ans.
In 5 years, I see myself leading a team of data engineers, driving innovative solutions and contributing to the company's growth.
Leading a team of data engineers
Driving innovative solutions
Contributing to the company's growth
- Q5. What are your strengths and weaknesses?
- Ans.
My strengths include strong technical skills, problem-solving abilities, and attention to detail. My weaknesses include a tendency to overthink and a desire for perfection.
Strong technical skills in data engineering
Ability to solve complex problems
Attention to detail in data analysis and processing
Tendency to overthink and analyze situations excessively
Desire for perfection which can sometimes lead to delays
- Q6. Tell me about yourself.
- Ans.
I am an experienced Senior Data Engineer with a strong background in data management and analytics.
Over 8 years of experience in designing and implementing data pipelines
Proficient in programming languages like Python, SQL, and Java
Expertise in big data technologies such as Hadoop, Spark, and Kafka
Skilled in data modeling, ETL processes, and data warehousing
Strong problem-solving and communication skills
Worked on proje...
Interview Preparation Tips
I applied via Job Portal and was interviewed in Sep 2024. There was 1 interview round.
Code question on tree dp and metrics dp
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
(2 Questions)
- Q1. SQL self join related question
- Q2. Working of spark in detail
- Ans.
Spark is a distributed computing framework that processes big data in memory and is known for its speed and ease of use.
Spark is an open-source, distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
It can run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.
Spark provides high-level APIs in Java, Scala...
(2 Questions)
- Q1. DAG implementation in detail
- Ans.
DAG implementation involves defining tasks and their dependencies in a directed acyclic graph.
DAG is a graph where nodes represent tasks and edges represent dependencies between tasks.
Tasks can only be executed once all their dependencies have been completed.
Common tools for DAG implementation include Apache Airflow and Luigi.
Example: Task A must be completed before Task B can start, forming a dependency between them.
- Q2. Explain salting in detail
- Ans.
Salting is a technique used in cryptography to add random data to passwords before hashing to prevent rainbow table attacks.
Salting involves adding a random string of characters to a password before hashing it
The salt value is unique for each password and is stored alongside the hashed password
Salting prevents attackers from easily cracking passwords using precomputed rainbow tables
Example: If a password is 'password12...
Skills evaluated in this interview
I applied via Referral and was interviewed in May 2022. There were 3 interview rounds.
Data structures and algorithms
(1 Question)
- Q1. Low level design and system design
(1 Question)
- Q1. About project and deal with particular problem
Interview Preparation Tips
- Core basics
I applied via Naukri.com and was interviewed in May 2019. There were 5 interview rounds.
Interview Questionnaire
4 Questions
- Q1. In brick and motor business which are the key metrics responsible for tracking growth ?
- Ans.
Key metrics for tracking growth in brick and mortar business.
Sales revenue
Customer footfall
Average transaction value
Customer retention rate
Inventory turnover rate
Gross profit margin
Net promoter score
Employee productivity
Marketing ROI
- Q2. How are they interrelated to each other ? Basically a KPI tree ?
- Ans.
KPIs are interrelated in a tree-like structure, with higher-level KPIs being influenced by lower-level ones.
KPIs are Key Performance Indicators that measure the success of a business or project.
KPIs can be organized in a tree-like structure, with higher-level KPIs being influenced by lower-level ones.
For example, a company's overall revenue might be a high-level KPI, with lower-level KPIs such as sales revenue and cust...
- Q3. Case study of advertising of a new store opening in location ?
- Ans.
Advertising a new store opening in a location
Identify target audience and their preferences
Create a catchy slogan and design attractive visuals
Utilize social media platforms and local newspapers for promotion
Offer discounts and promotions to attract customers
Organize a grand opening event to create buzz and excitement
- Q4. Case study regarding targeting customers ?
Interview Preparation Tips
Interview Questionnaire
1 Question
- Q1. What is logistics regression
- Ans.
Logistic regression is a statistical method used to analyze and model the relationship between a dependent variable and one or more independent variables.
It is a type of regression analysis used for predicting binary outcomes
It uses a logistic function to model the probability of the dependent variable
It is commonly used in fields such as healthcare, finance, and marketing
Example: Predicting whether a customer will buy...
Skills evaluated in this interview
I applied via Campus Placement and was interviewed before Jun 2020. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. What is logistics regression
- Ans.
Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.
It is a type of regression analysis used for predicting binary outcomes
It uses a logistic function to model the probability of the dependent variable
It is commonly used in fields such as healthcare, finance, and marketing
Example: Predicting whether a customer w...
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Referral and was interviewed before Jan 2024. There were 2 interview rounds.
English, Logic, Quantitative Analysis, Situation.
(2 Questions)
- Q1. Can you provide an introduction and describe your past experience?
- Ans.
Experienced business analyst with a strong background in data analysis and process improvement.
Over 5 years of experience in analyzing business processes and identifying areas for improvement
Proficient in data analysis tools such as Excel, SQL, and Tableau
Led cross-functional teams to implement process improvements resulting in cost savings of 10%
Developed KPIs to track project performance and ensure alignment with bus
- Q2. What attracts you to this company, and what are your goals and areas of focus?
- Ans.
I am attracted to this company's innovative approach to problem-solving and collaborative work environment. My goal is to leverage my analytical skills to drive business growth and efficiency.
Attracted to company's innovative approach to problem-solving
Excited about collaborative work environment
Goal is to leverage analytical skills for business growth and efficiency
Selected
I applied via LinkedIn and was interviewed before Dec 2023. There were 4 interview rounds.
(1 Question)
- Q1. Basic details about previous experience, our expectations and educational details
(3 Questions)
- Q1. Technical question on basic electrical engineering
- Q2. Technical questions from previous employments
- Q3. Technical questions on IoT project and college project
Given a regulation and asked to prepare a presentation and asked to present the ppt
(4 Questions)
- Q1. Salary expectation
- Q2. Comfortable about travelling
- Ans.
Yes, I am comfortable with traveling for work.
I have previous experience traveling for work and am familiar with the demands of it.
I am flexible and adaptable to different travel schedules and locations.
I understand the importance of face-to-face interactions with stakeholders and clients, which may require travel.
I am willing to travel as needed to ensure project success and meet business objectives.
- Q3. Comfortable relocated to job location
- Ans.
Yes, I am comfortable relocating to the job location.
I am open to relocating for the right opportunity
I have relocated for previous jobs and have had positive experiences
I am flexible and adaptable to new environments
- Q4. Basic HR questions
NIKE Interview FAQs
Recently Viewed
INTERVIEWS
SRM University, AP - Amaravati
No Interviews
JOBS
The Goodearth Company
No Jobs
COMPANY BENEFITS
Amazon Sellers Services
No Benefits
LIST OF COMPANIES
The Goodearth Company
Overview
JOBS
HCLTech
No Jobs
SALARIES
Internity Foundation
INTERVIEWS
Pappel Technology World
No Interviews
SALARIES
The Goodearth Company
JOBS
Bajaj Finance
No Jobs
JOBS
IIFL SAMASTA
No Jobs
Tell us how to improve this page.
NIKE Interviews By Designations
- NIKE Lead Engineer Interview Questions
- NIKE Software Engineer Interview Questions
- NIKE Senior Data Engineer Interview Questions
- NIKE Research Associate Interview Questions
- NIKE Management Trainee Interview Questions
- NIKE Data Scientist Interview Questions
- NIKE HR Executive Interview Questions
- NIKE Production Manager Interview Questions
- Show more
Interview Questions for Popular Designations
- Data Scientist Interview Questions
- Data Analyst Intern Interview Questions
- Senior Data Scientist Interview Questions
- Data Science Intern Interview Questions
- Associate Data Analyst Interview Questions
- Data Analyst Interview Questions
- Jr. Data Scientist Interview Questions
- Associate Data Scientist Interview Questions
- Show more
NIKE Senior Data Analyst Interview Process
based on 1 interview
Interview experience
Interview Questions from Similar Companies
|
Software Engineer2
52
salaries
|  ₹0 L/yr - ₹0 L/yr |
|
Software Engineer III
48
salaries
| ₹0 L/yr - ₹0 L/yr |
|
Senior Software Engineer
47
salaries
| ₹0 L/yr - ₹0 L/yr |
|
Store Manager
42
salaries
| ₹0 L/yr - ₹0 L/yr |
|
Sales Executive
41
salaries
| ₹0 L/yr - ₹0 L/yr |
Adidas
PUMA
Under Armour
Reebok
- Home >
- Interviews >
- NIKE Interview Questions >
- NIKE Senior Data Analyst Interview Questions
