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Fractal Analytics Interview Questions and Answers

Updated 11 Jun 2025
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114 Interview questions

An Engineer was asked
Q. Spark optimization techniques
Ans. 

Spark optimization techniques improve performance and efficiency of Spark applications.

  • Partitioning data to reduce shuffling

  • Caching frequently used data

  • Using broadcast variables for small data

  • Tuning memory allocation and garbage collection

  • Using efficient data formats like Parquet

  • Avoiding unnecessary data shuffling

  • Using appropriate hardware configurations

  • Optimizing SQL queries with appropriate indexing and partitio...

View all Engineer interview questions
An Engineer was asked
Q. Hive optimization techniques
Ans. 

Hive optimization techniques improve query performance and reduce execution time.

  • Partitioning tables to reduce data scanned

  • Using bucketing to group data for faster querying

  • Using vectorization to process data in batches

  • Using indexing to speed up lookups

  • Using compression to reduce storage and I/O costs

View all Engineer interview questions
A Data Engineer was asked
Q. Slowly change data handling in spark
Ans. 

Slowly changing data handling in Spark involves updating data over time.

  • Slowly changing dimensions (SCD) are used to track changes in data over time.

  • SCD Type 1 updates the data in place, overwriting the old values.

  • SCD Type 2 creates a new record for each change, with a start and end date.

  • SCD Type 3 adds a new column to the existing record to track changes.

  • Spark provides functions like `from_unixtime` and `unix_tim...

View all Data Engineer interview questions
A Data Engineer was asked
Q. Joins in Sql, Modelling and visualization part in PowerBI
Ans. 

Answering about joins in SQL and modeling/visualization in PowerBI

  • Joins in SQL are used to combine data from two or more tables based on a related column

  • There are different types of joins such as inner join, left join, right join, and full outer join

  • PowerBI is a data visualization tool that allows users to create interactive reports and dashboards

  • Data modeling in PowerBI involves creating relationships between tab...

View all Data Engineer interview questions

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Data Science dream job: Need resume advice & referrals!
Hey pros, what should I add to my resume to boost my chances of landing my first Data Science role? Guidance needed! Also, if you're hiring or know openings at: TCS | Infosys | Wipro | Cognizant | Genpact | Accenture | LTIMindtree | Fractal Analytics | Mu Sigma | Quantiphi | Tiger Analytics | EXL | ZS Associates | Deloitte | KPMG | EY | Capgemini | Publicis Sapient, a referral would be amazing! 📎 I’m attaching my resume. Feedback, suggestions, or leads would mean a lot! Thanks for your support! Let’s connect & grow in #DataScience. #DataScience #MachineLearning #DeepLearning #OpenToWork #FresherJobs #DataScienceJobs #Referral #CareerAdvice #ResumeTips #JobSearch #Hiring #AmbitionBox #LinkedInJobs
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A Data Analyst was asked 5mo ago
Q. KPI that you have created
Ans. 

I created a KPI to measure customer retention rate.

  • Developed formula to calculate percentage of customers retained over a specific period

  • Monitored customer churn rate to track effectiveness of retention strategies

  • Analyzed customer feedback and behavior to identify factors influencing retention

  • Implemented initiatives to improve customer retention based on data insights

View all Data Analyst interview questions
A Data Scientist was asked 10mo ago
Q. Why Fractal, etc
Ans. 

Fractals are used in data science for analyzing complex and self-similar patterns.

  • Fractals are useful for analyzing data with repeating patterns at different scales.

  • They are used in image compression, signal processing, and financial market analysis.

  • Fractal analysis can help in understanding the underlying structure of data and making predictions.

View all Data Scientist interview questions
An Analyst was asked
Q. What genre of books?
Ans. 

I enjoy reading a variety of genres, including mystery, science fiction, and historical fiction.

  • Mystery

  • Science fiction

  • Historical fiction

View all Analyst interview questions
Are these interview questions helpful?
An Analyst was asked
Q. What is truth? Like the one you have been taught or the one you learn yourself like your parents teach you to not cut nails at night etc ot go to the temple?
Ans. 

Truth is subjective and can be influenced by personal experiences and cultural beliefs.

  • Truth is not always objective or universal

  • It can be shaped by personal experiences and cultural beliefs

  • What is considered true in one culture may not be true in another

  • Truth can also change over time as new information is discovered

  • For example, the belief that the earth was flat was once considered true, but is now known to be f...

View all Analyst interview questions
A Software Engineer was asked
Q. Aptitiude Questions

In one box there are 12 red and 12 green balls and in another box there are 24 res and 24 green balls.
You have two balls choose from each of the box with replacement such that they have t...

Ans. 

The box with 12 red and 12 green balls has a better probability.

  • The probability of selecting two balls of the same color from the first box is higher due to the equal number of red and green balls.

  • In the second box, with 24 red and 24 green balls, the probability of selecting two balls of the same color is lower.

  • Therefore, the box with 12 red and 12 green balls has a better probability.

View all Software Engineer interview questions
A Software Engineer was asked
Q. 

Longest Common Subsequence Problem Statement

Given two strings, S and T with respective lengths M and N, your task is to determine the length of their longest common subsequence.

A subsequence is a sequen...

Ans. 

The task is to find the length of the longest common subsequence between two given strings.

  • Use dynamic programming to solve this problem efficiently.

  • Create a 2D array to store the lengths of longest common subsequences of substrings.

  • Iterate through the strings to fill the array and find the length of the longest common subsequence.

  • Example: For strings 'abcde' and 'ace', the longest common subsequence is 'ace' with...

View all Software Engineer interview questions

Fractal Analytics Interview Experiences

214 interviews found

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
No response

I applied via Approached by Company and was interviewed in Nov 2024. There were 4 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Main pillars of Project management
  • Ans. 

    Main pillars of Project management include scope, time, cost, quality, communication, risk, and procurement.

    • Scope management involves defining and controlling what is included in the project.

    • Time management focuses on creating and maintaining a project schedule.

    • Cost management involves budgeting and controlling project costs.

    • Quality management ensures that the project meets the required standards.

    • Communication manageme...

  • Answered by AI
  • Q2. Project Management Scenario based questions you can clear if you have hands-on experience
Round 2 - One-on-one 

(1 Question)

  • Q1. Project Management+Technical discussion
Round 3 - HR 

(1 Question)

  • Q1. Informal HR discussion salary expectations,asked to submit documents for verification
Round 4 - One-on-one 

(2 Questions)

  • Q1. Project Management experience and challenges faced for a project
  • Ans. 

    I have 5 years of project management experience, including leading a team to successfully complete a software development project.

    • Managed cross-functional teams to ensure project milestones were met

    • Identified and resolved conflicts within the team to maintain productivity

    • Implemented Agile methodologies to improve project efficiency

    • Communicated project updates to stakeholders regularly

    • Managed project budget and resource...

  • Answered by AI
  • Q2. More technical describe ado.net,boxing unboxing

Interview Preparation Tips

Interview preparation tips for other job seekers - 2 Rounds before final selection wehre HR had asked to sumbit documents.The panel was very good and were eager to know and discuss.After that no offer was released for months.I believe the recruitment team are like external consultants.After few months had this final round one Program manager and some sales lead both from Banglore office.Program Manager was better but other guy was very rude.They asked me to elaborate about project experience and challenges on elaborating they told me to explain about some other projects.Then they came to technical what was ado.net connected and disconnected architecture.I told them high level concept and told that we were using orms for our project.But the other guy wanted to know object and syntax level.
They asked me reason to change.I told them there was lot of rework and no work life balance.However they justified the rework saying that it is part of any process and also seemed to have traditional mindset didnt bother much about work life balance.

Dont want to be a part of company with these kind of higher management.

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 26 Feb 2025

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I appeared for an interview in Jan 2025.

Round 1 - Coding Test 

Basic Pyspark/python question with some mcqs

Round 2 - Technical 

(2 Questions)

  • Q1. Project overview
  • Q2. Pyspark, python , sql related questions.
Round 3 - Technical 

(2 Questions)

  • Q1. Basic technical question on spark and one python Dasa question and one sql
  • Q2. Sql + python + spark + Adf + Databricks
Round 4 - HR 

(2 Questions)

  • Q1. Why you want to join even though you have offers from good mnc
  • Ans. 

    I am passionate about data engineering and believe this company offers unique opportunities for growth and learning.

    • Exciting projects and challenges at this company

    • Opportunities for growth and learning in data engineering

    • Alignment with company values and culture

    • Potential for career advancement and development

    • Interest in the industry or specific technologies used by the company

  • Answered by AI
  • Q2. Salary expectations and work culture
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What kind of data modelling you worked with GenAI project?
  • Ans. 

    I have experience working with data modelling in the GenAI project to optimize algorithms and improve performance.

    • Utilized various data modelling techniques to analyze and interpret data

    • Developed predictive models to enhance decision-making processes

    • Collaborated with data scientists to refine and validate models

    • Implemented machine learning algorithms to improve accuracy and efficiency

  • Answered by AI
  • Q2. What was the challenge in end-to-end product delivery and implementation of solution roadmap?
  • Ans. 

    The challenge in end-to-end product delivery and implementation of solution roadmap involved coordinating multiple teams, managing dependencies, and ensuring alignment with business goals.

    • Coordinating cross-functional teams to ensure timely delivery of each component of the product

    • Managing dependencies between different teams and components to avoid delays

    • Ensuring alignment of the solution roadmap with the overall busi...

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Why Informatica cloud is better than Azure Cloud solution?
  • Ans. 

    Informatica Cloud offers more comprehensive data integration capabilities compared to Azure Cloud.

    • Informatica Cloud provides a wide range of data integration tools and services for various data sources and formats.

    • Informatica Cloud offers advanced data quality and data governance features that are not available in Azure Cloud.

    • Informatica Cloud has a strong focus on data security and compliance, with built-in encryption...

  • Answered by AI
  • Q2. Why do you prefer Azure cloud solution as recommendations for Data Engineering pipelines? Explain data pipelines scenario you managed in the project?
  • Ans. 

    I prefer Azure cloud solution for Data Engineering pipelines due to its scalability, reliability, and integration with other Microsoft services.

    • Azure provides a wide range of tools and services specifically designed for data engineering tasks, such as Azure Data Factory, Azure Databricks, and Azure HDInsight.

    • Azure offers seamless integration with other Microsoft services like Power BI, SQL Server, and Azure Machine Lea...

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. How do you manage client obligations?
  • Ans. 

    I manage client obligations by setting clear expectations, communicating regularly, and prioritizing tasks based on deadlines and importance.

    • Set clear expectations with clients regarding deliverables and timelines

    • Communicate regularly to provide updates on progress and address any concerns

    • Prioritize tasks based on deadlines and importance to ensure all client obligations are met

    • Proactively identify potential issues and...

  • Answered by AI
  • Q2. How do you manange conflicts in the project?
  • Ans. 

    I manage conflicts in the project by promoting open communication, addressing issues promptly, seeking compromise, and involving stakeholders in resolution.

    • Promote open communication among team members to address conflicts early on

    • Address issues promptly and directly to prevent escalation

    • Seek compromise and find win-win solutions to resolve conflicts

    • Involve stakeholders in conflict resolution to ensure all perspectives...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared thoroughly on each job description requirement for interview. Candidate should have deep knowledge on each subject mention in JD

Data Scientist Interview Questions & Answers

user image Bratati Datta Gupta

posted on 11 Dec 2024

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

I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Coding Test 

There are 10 multiple-choice questions (MCQs) on Python, 20 MCQs on machine learning (ML), and 10 questions on deep learning (DL).

Round 2 - Technical 

(1 Question)

  • Q1. The technical round was divided in three phases - phase -1 : intro and professional projects They asked about the projects I have contributed in my full-time tenure. Then, asked me to pick any one of them...
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I appeared for an interview in Jan 2025.

Round 1 - Technical 

(2 Questions)

  • Q1. PySpark and SQL questions
  • Q2. Azure datafactory related questions
Round 2 - Technical 

(2 Questions)

  • Q1. Spark internals
  • Q2. Scenario based
Round 3 - HR 

(2 Questions)

  • Q1. Soft skills
  • Q2. Scenario based and general discussion

Interview Questions & Answers

user image Anonymous

posted on 20 Oct 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Not Selected

I applied via Campus Placement

Round 1 - Aptitude Test 

Pretty simple aptitude test

Round 2 - Technical 

(5 Questions)

  • Q1. Explain your projects in detail from data preprocessing to deployment
  • Ans. 

    I have worked on various projects involving data preprocessing, model building, and deployment.

    • I start by cleaning and preprocessing the raw data to remove missing values and outliers.

    • I then perform feature engineering to create new features and select the most relevant ones for model building.

    • Next, I train machine learning models using algorithms like Random Forest, XGBoost, and Neural Networks.

    • I evaluate the models u...

  • Answered by AI
  • Q2. Given a SQL Query to solve
  • Q3. What is logistic regression and its formula?
  • Q4. What are the underlying assumptions of logistic regression?
  • Q5. Difference between linearity and logistic assumptions are?

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

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

Round 1 - Coding Test 

15 MCQ, 2 coding round

Round 2 - Technical 

(2 Questions)

  • Q1. What is PCA explain eigen values
  • Ans. 

    PCA is a dimensionality reduction technique that uses eigenvalues to find the principal components of a dataset.

    • PCA is used to reduce the dimensionality of a dataset by transforming the data into a new coordinate system.

    • Eigenvalues represent the amount of variance captured by each principal component.

    • Higher eigenvalues indicate that the corresponding principal component explains more variance in the data.

    • Eigenvalues ar...

  • Answered by AI
  • Q2. How chatbot works really
  • Ans. 

    Chatbots use natural language processing and machine learning to interact with users and provide automated responses.

    • Chatbots use natural language processing (NLP) to understand and interpret user input.

    • They use machine learning algorithms to learn from past interactions and improve responses.

    • Chatbots can be rule-based, where responses are pre-programmed, or AI-based, where they learn and adapt over time.

    • Examples inclu...

  • Answered by AI

ml engineer Interview Questions & Answers

user image Anonymous

posted on 18 Nov 2024

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

I applied via Approached by Company and was interviewed in Oct 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Explain about your projects
  • Ans. 

    I have worked on projects involving natural language processing, computer vision, and recommendation systems.

    • Developed a sentiment analysis model using NLP techniques

    • Implemented a facial recognition system using CNNs

    • Built a movie recommendation engine based on collaborative filtering

  • Answered by AI
  • Q2. Basic Kubernetes quetions
Round 2 - One-on-one 

(2 Questions)

  • Q1. Python questions
  • Q2. Situational Questions
Round 3 - HR 

(1 Question)

  • Q1. Expected salary?
  • Ans. 

    My expected salary reflects my skills, experience, and market standards for an ML Engineer role.

    • Based on my research, the average salary for an ML Engineer in this region is between $X and $Y.

    • I have X years of experience, which positions me towards the higher end of that range.

    • I am also considering the benefits and growth opportunities that come with the role.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Present your projects really well
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Describe your current project snd your role.
  • Ans. 

    Leading a team in developing a mobile app for tracking fitness goals.

    • Managing a team of developers and designers

    • Creating project timelines and milestones

    • Collaborating with stakeholders to gather requirements

    • Testing and quality assurance of the app

    • Implementing feedback and updates based on user testing

    • Ensuring project stays within budget and timeline

  • Answered by AI
Round 2 - One-on-one 

(1 Question)

  • Q1. Describe your role
  • Ans. 

    I oversee project planning, execution, and delivery to ensure successful completion.

    • Lead project teams in defining project scope, goals, and deliverables

    • Develop project plans and schedules, and track progress against milestones

    • Manage project budget and resources effectively

    • Communicate with stakeholders to ensure alignment and manage expectations

    • Identify and mitigate project risks and issues

    • Ensure quality standards are ...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Describe your childhood
  • Ans. 

    I had a happy and adventurous childhood filled with outdoor activities and family vacations.

    • Grew up in a small town surrounded by nature

    • Enjoyed playing sports like soccer and basketball

    • Went on camping trips with my family every summer

    • Participated in school plays and talent shows

    • Had a close-knit group of friends from the neighborhood

  • Answered by AI

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 23 Dec 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Jun 2024. There were 4 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. The HR representative will seek to understand your experience and its alignment with the role.
  • Q2. Salary expectations, Offers in hand
Round 2 - Technical 

(3 Questions)

  • Q1. What are the key features and functionalities of Snowflake?
  • Ans. 

    Snowflake is a cloud-based data warehousing platform known for its scalability, performance, and ease of use.

    • Snowflake uses a unique architecture called multi-cluster, which separates storage and compute resources for better scalability and performance.

    • It supports both structured and semi-structured data, allowing users to work with various data types.

    • Snowflake offers features like automatic scaling, data sharing, and ...

  • Answered by AI
  • Q2. The interviewer asked several complex SQL questions that utilized analytical functions.
  • Q3. I was asked to write some syntax-level code for Jinja statements in dbt.
  • Ans. 

    Jinja in dbt allows for dynamic SQL generation using templating syntax.

    • Use `{{ }}` for expressions, e.g., `{{ ref('my_model') }}` to reference another model.

    • Use `{% %}` for control flow, e.g., `{% if condition %} ... {% endif %}` for conditional logic.

    • Loop through lists with `{% for item in list %} ... {% endfor %}`.

    • Define variables with `{% set var_name = value %}` and use them with `{{ var_name }}`.

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. The interviewer, who was part of the senior management, inquired about dbt, its features, and my experience with dbt thus far.
  • Q2. The interviewer reviewed my resume and inquired about the challenges I encountered in my previous roles and the methods I used to resolve them.
Round 4 - HR 

(1 Question)

  • Q1. Salary negotiations, Bonus discussions

Interview Preparation Tips

Topics to prepare for Fractal Analytics Data Engineer interview:
  • dbt
  • Snowflake
  • AWS
  • Python
  • PySpark
  • SQL
  • Data Modelling
  • Data Quality
  • Airflow
Interview preparation tips for other job seekers - Stick to the basics while also addressing some complex topics relevant to your role and job expectations. Be honest about what you know and what you don't. Always approach discussions diplomatically regarding what is valuable to you.

Fractal Analytics Interview FAQs

How many rounds are there in Fractal Analytics interview?
Fractal Analytics interview process usually has 2-3 rounds. The most common rounds in the Fractal Analytics interview process are Technical, HR and Coding Test.
How to prepare for Fractal Analytics 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 Fractal Analytics. The most common topics and skills that interviewers at Fractal Analytics expect are Python, SQL, Analytics, Machine Learning and Consulting.
What are the top questions asked in Fractal Analytics interview?

Some of the top questions asked at the Fractal Analytics interview -

  1. What is truth? Like the one you have been taught or the one you learn yourself ...read more
  2. What are the important documents to be submitted during the R...read more
  3. In a word count spark program which command will run on driver and which will r...read more
What are the most common questions asked in Fractal Analytics HR round?

The most common HR questions asked in Fractal Analytics interview are -

  1. Why are you looking for a chan...read more
  2. What are your salary expectatio...read more
  3. Share details of your previous j...read more
How long is the Fractal Analytics interview process?

The duration of Fractal Analytics interview process can vary, but typically it takes about less than 2 weeks to complete.

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Overall Interview Experience Rating

4.3/5

based on 151 interview experiences

Difficulty level

Easy 12%
Moderate 80%
Hard 8%

Duration

Less than 2 weeks 59%
2-4 weeks 34%
4-6 weeks 3%
6-8 weeks 3%
More than 8 weeks 1%
View more

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Fractal Analytics Reviews and Ratings

based on 895 reviews

4.0/5

Rating in categories

4.0

Skill development

4.0

Work-life balance

3.5

Salary

4.1

Job security

4.1

Company culture

3.2

Promotions

3.6

Work satisfaction

Explore 895 Reviews and Ratings
Senior Sales/Account Manager (Growth Leader)

Noida,

Mumbai

+4

10-15 Yrs

Not Disclosed

Corporate Trainer - Data Science, SME

Mumbai,

Bangalore / Bengaluru

4-8 Yrs

Not Disclosed

Data Engineer

Noida,

Mumbai

+4

6-12 Yrs

Not Disclosed

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