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NIKE Senior Data Analyst Interview Questions and Answers

Updated 18 Feb 2024

NIKE Senior Data Analyst Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. 1. Basic SQL questions including aggregations, window functions etc. 2. Project & resume walkthrough
Round 2 - Case Study 

1. Guesstimates - How many Nike shoes are sold in India

Round 3 - HR 

(1 Question)

  • Q1. Generic HR questions - why I want to quit the current company? Why Nike?

Interview questions from similar companies

I applied via Naukri.com and was interviewed before Feb 2021. There were 4 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Questions on algorithm, coding hands on
  • Q2. Core technical questions, scenario based
  • Q3. Conceptual questions
Round 2 - Technical 

(3 Questions)

  • Q1. Coding hands on check
  • Q2. Scenario based technical questions
  • Q3. Architecture based questions
Round 3 - Technical 

(3 Questions)

  • Q1. Project related questions
  • Q2. Case studies based questions
  • Q3. Core technical questions based on resume
Round 4 - HR 

(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.

  • Answered by AI
  • 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...

  • Answered by AI
  • 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...

  • Answered by AI
  • 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

  • Answered by AI
  • 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

  • Answered by AI
  • 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...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and please maintain your eye contact
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Job Portal and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Coding Test 

Code question on tree dp and metrics dp

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(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...

  • Answered by AI
Round 2 - Technical 

(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.

  • Answered by AI
  • 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...

  • Answered by AI

Skills evaluated in this interview

I applied via Referral and was interviewed in May 2022. There were 3 interview rounds.

Round 1 - Coding Test 

Data structures and algorithms

Round 2 - Technical 

(1 Question)

  • Q1. Low level design and system design
Round 3 - HR 

(1 Question)

  • Q1. About project and deal with particular problem

Interview Preparation Tips

Topics to prepare for Walmart Senior Data Engineer interview:
  • Core basics
Interview preparation tips for other job seekers - Prepare well on basics. Try to engage better with problems and then only try to solve them

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

  • Answered by AI
  • 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...

  • Answered by AI
  • 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

  • Answered by AI
  • Q4. Case study regarding targeting customers ?

Interview Preparation Tips

Interview preparation tips for other job seekers - Should be prepared with in and out of brick and mortar business .

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...

  • Answered by AI

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...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Basics of statistics, SQL and Python

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Jan 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

English, Logic, Quantitative Analysis, Situation.

Round 2 - One-on-one 

(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

  • Answered by AI
  • 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

  • Answered by AI
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Dec 2023. There were 4 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Basic details about previous experience, our expectations and educational details
Round 2 - One-on-one 

(3 Questions)

  • Q1. Technical question on basic electrical engineering
  • Q2. Technical questions from previous employments
  • Q3. Technical questions on IoT project and college project
Round 3 - Assignment 

Given a regulation and asked to prepare a presentation and asked to present the ppt

Round 4 - HR 

(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.

  • Answered by AI
  • 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

  • Answered by AI
  • Q4. Basic HR questions
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NIKE Interview FAQs

How many rounds are there in NIKE Senior Data Analyst interview?
NIKE interview process usually has 3 rounds. The most common rounds in the NIKE interview process are Technical, Case Study and HR.
How to prepare for NIKE 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 NIKE. The most common topics and skills that interviewers at NIKE expect are Analytical, Computer science, Data Analysis, MIS and Machine Learning.

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NIKE Senior Data Analyst Interview Process

based on 1 interview

Interview experience

3
  
Average
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