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Accenture Data Analyst Interview Questions and Answers

Updated 22 Jun 2025

35 Interview questions

A Data Analyst was asked 2w ago
Q. How do you handle missing data?
Ans. 

Endling refers to the last known individual of a species, highlighting conservation and extinction issues.

  • Understand the concept of endling: the last surviving member of a species.

  • Study examples like the passenger pigeon and the Tasmanian tiger.

  • Explore conservation efforts to prevent species from becoming endlings.

  • Analyze the ecological impact of losing a species and its role in the ecosystem.

A Data Analyst was asked 1mo ago
Q. What do you know about MS Excel?
Ans. 

MS Excel is a powerful spreadsheet application used for data analysis, visualization, and management through formulas and functions.

  • Data Organization: Excel allows users to organize data in rows and columns, making it easy to manage large datasets.

  • Formulas and Functions: Users can perform calculations using built-in functions like SUM, AVERAGE, and VLOOKUP.

  • Data Visualization: Excel provides tools like charts and g...

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A Data Analyst was asked 2mo ago
Q. How do you perform error handling in your project?
Ans. 

Error handling in data analysis ensures data integrity and reliability by managing exceptions and validating inputs effectively.

  • Input Validation: Always validate data inputs to ensure they meet expected formats. For example, checking if a date is in 'YYYY-MM-DD' format.

  • Try-Except Blocks: Use try-except blocks in Python to catch exceptions during data processing. For instance, catching a ValueError when converting ...

A Data Analyst was asked 2mo ago
Q. What is the difference between the tJava, tJavaRow, and tJavaFlex components in Talend?
Ans. 

tJava, tJavaRow, and tJavaFlex are Talend components for executing Java code, each serving different purposes in data processing.

  • tJava: This component allows you to write and execute standalone Java code within a Talend job, useful for custom logic or operations.

  • tJavaRow: Designed for processing each row of data, tJavaRow enables you to manipulate data in a flow, making it ideal for row-level transformations.

  • tJava...

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A Data Analyst was asked 2mo ago
Q. What is GridSearchCV?
Ans. 

GridSearchCV is a technique for hyperparameter tuning in machine learning models using cross-validation.

  • It systematically tests combinations of hyperparameters to find the best model settings.

  • Uses cross-validation to evaluate model performance for each parameter combination.

  • Example: For a Random Forest model, it can tune parameters like 'n_estimators' and 'max_depth'.

  • Helps prevent overfitting by ensuring the model...

A Data Analyst was asked 2mo ago
Q. What languages are you familiar with?
Ans. 

I am familiar with several programming languages essential for data analysis, including Python, R, SQL, and more.

  • Python: Widely used for data manipulation and analysis with libraries like Pandas and NumPy.

  • R: Excellent for statistical analysis and visualization, often used in academic research.

  • SQL: Essential for querying and managing databases, allowing for efficient data retrieval.

  • Excel: A powerful tool for data a...

🔥 Asked by recruiter 4 times
A Data Analyst was asked 6mo ago
Q. What is Power BI?
Ans. 

Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities.

  • Power BI is a data visualization tool used to create interactive reports and dashboards.

  • It allows users to connect to various data sources, clean and transform data, and create visually appealing reports.

  • Users can share and collaborate on reports with others, and access them on multipl...

Are these interview questions helpful?
A Data Analyst was asked 6mo ago
Q. What is enumeration?
Ans. 

Enumeration is the process of listing items in a specific order or sequence.

  • Enumeration is commonly used in programming to iterate through a list of items.

  • It helps in organizing and categorizing data for analysis.

  • Examples include counting the number of occurrences of specific values in a dataset.

A Data Analyst was asked 7mo ago
Q. What is partitioning?
Ans. 

Partitioning is the process of dividing data into distinct segments for efficient management and analysis.

  • Improves query performance by reducing the amount of data scanned.

  • Can be done based on range, list, or hash criteria.

  • Example: Partitioning a sales database by year to analyze trends over time.

  • Facilitates easier data management and maintenance.

  • Used in distributed databases to enhance scalability.

A Data Analyst was asked 7mo ago
Q. What is the meaning of 'self' in Python?
Ans. 

In Python, 'self' refers to the instance of the class, allowing access to its attributes and methods.

  • Used in instance methods to refer to the object itself.

  • Allows access to instance variables: e.g., self.variable_name.

  • Essential for differentiating between instance and local variables.

  • Example: def method_name(self): self.attribute = value.

Accenture Data Analyst Interview Experiences

61 interviews found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 16 Jun 2025

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I appeared for an interview in May 2025, where I was asked the following questions.

  • Q1. Tell me about yourself My name is Srividya I am I am from Bangalore I have recently completed my diploma in Computer Science in 2025 I have and good understanding of Java Python excel and SQL and I enjoy s...
  • Q2. Why do you want to work in the IT services consultancies industry I want to work in the IT services and consultancy's industry because it offers at dynamic and fast faded and in ornamental where I can appl...
  • Q3. What are you strength and weaknesses One of my keys is ability to learn quickly for example my final year I have learnt a new frame for a project and I have it was able to pick up within a short time and s...
  • Q4. Where do you see yourself in 5 years Myself growing into a more killed and component professionally in the IT industry I aim to build a strong foundation in my role take on more responsibilities and plausi...
  • Ans. 

    In five years, I envision myself as a senior data analyst, leading projects and mentoring junior analysts while driving impactful data-driven decisions.

    • I aim to develop expertise in advanced analytics techniques, such as machine learning, to enhance data insights.

    • I plan to take on leadership roles, guiding teams in data projects and fostering a collaborative environment.

    • I want to contribute to strategic decision-making...

  • Answered by AI
  • Q5. Are you willing to relocate Yes I am waiting to relocate as a pressure I am open to new opportunities and experience that will help me to group grow both professionally and personally I understand that Re ...
  • Ans. 

    I am open to relocating for new opportunities that enhance my professional and personal growth.

    • Relocation offers exposure to diverse work cultures, enhancing adaptability.

    • I am eager to learn from different teams and contribute to various projects.

    • For example, working in a new city can provide insights into regional market trends.

    • I believe that adapting to new environments fosters personal growth and resilience.

  • Answered by AI
  • Q6. Are you comfortable working in rotational shift Yes I am comfortable working in a rotational shift I understand that IT services in under consultancies Industries supporting Global clience often required f...
  • Q7. What motivate you I motivated by opportunities to learn new things and solve problems I enjoyed talences that pushes me to think creatively and improve my skills for example during my academic project I wa...
  • Q8. What are your salary expectations As a pressure my main focus or is on learning gaining experience and starting my career in a strong organisation I am open to the company standard for this role and truste...
  • Q9. Why should we hire you As a fresher I bring a strong foundation in computer science I work on academic project where I applied my technical skills and amigo to gain Real world experience I am quickly learn...
  • Q10. Do you prefer working independently or in a team I am comfortable working both independently and a team when the when I work independently I stay focused managed my time well and take responsibilities for...
  • Ans. 

    I thrive in both independent and team settings, balancing focus and collaboration effectively.

    • Independently, I excel at time management, ensuring timely delivery of projects.

    • For example, I completed a data analysis project solo, meeting all deadlines and exceeding expectations.

    • In a team, I value collaboration, as it fosters diverse ideas and solutions.

    • During a group project, I facilitated brainstorming sessions that le...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - I have done my internship and soft soft skills communication team work problem solving and I have certificate I haven't work in a full time job at but I have completed on and on internship and developed a few Academy project

Data Analyst Interview Questions & Answers

user image Nishu Goud

posted on 23 Dec 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is powerbi
  • Q2. What is enumeration
  • Ans. 

    Enumeration is the process of listing items in a specific order or sequence.

    • Enumeration is commonly used in programming to iterate through a list of items.

    • It helps in organizing and categorizing data for analysis.

    • Examples include counting the number of occurrences of specific values in a dataset.

  • Answered by AI

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 29 Nov 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the meaning of self in python
  • Ans. 

    In Python, 'self' refers to the instance of the class, allowing access to its attributes and methods.

    • Used in instance methods to refer to the object itself.

    • Allows access to instance variables: e.g., self.variable_name.

    • Essential for differentiating between instance and local variables.

    • Example: def method_name(self): self.attribute = value.

  • Answered by AI
  • Q2. What is partitioning

Skills evaluated in this interview

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 18 Apr 2025

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
6-8 weeks
Result
No response
  • Q1. Can you tell me about yourself?
  • Q2. What does the "K" in K-Nearest Neighbors (KNN) stand for, and is it a supervised learning technique or an unsupervised learning technique?
  • Ans. 

    The 'K' in K-Nearest Neighbors represents the number of nearest neighbors considered for classification or regression.

    • KNN is a supervised learning technique used for classification and regression tasks.

    • In KNN, 'K' is a user-defined constant that determines how many neighbors to consider.

    • For example, if K=3, the algorithm looks at the three closest data points to make a decision.

    • KNN can be used in various applications, ...

  • Answered by AI
  • Q3. What is GridSearchCV?
  • Ans. 

    GridSearchCV is a technique for hyperparameter tuning in machine learning models using cross-validation.

    • It systematically tests combinations of hyperparameters to find the best model settings.

    • Uses cross-validation to evaluate model performance for each parameter combination.

    • Example: For a Random Forest model, it can tune parameters like 'n_estimators' and 'max_depth'.

    • Helps prevent overfitting by ensuring the model gene...

  • Answered by AI
  • Q4. Elaborate your Time Series Project which I mentioned in my resume
  • Ans. 

    Developed a time series model to forecast sales trends using historical data and seasonal decomposition techniques.

    • Utilized Python libraries like Pandas and Statsmodels for data manipulation and analysis.

    • Applied ARIMA and Seasonal Decomposition of Time Series (STL) to identify trends and seasonality.

    • Visualized data using Matplotlib and Seaborn to present findings effectively.

    • Conducted cross-validation to ensure model a...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Ensure that your resume is well-prepared.

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 11 Sep 2024

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

I applied via Walk-in and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Aptitude is qualify and further process is easy

Round 2 - HR 

(6 Questions)

  • Q1. Tell me about you
  • Ans. 

    I am a data analyst with a strong background in statistics and data visualization.

    • I have a Bachelor's degree in Statistics from XYZ University

    • I have 3 years of experience working as a data analyst at ABC Company

    • Proficient in using tools like Excel, SQL, and Tableau for data analysis

    • Strong problem-solving skills and attention to detail

    • I enjoy finding insights from data and presenting them in a clear and concise manner

  • Answered by AI
  • Q2. Expect from work question
  • Q3. Technologies used in the project.
  • Ans. 

    The project utilized a variety of technologies including Python, SQL, Tableau, and Excel.

    • Python

    • SQL

    • Tableau

    • Excel

  • Answered by AI
  • Q4. Explain your framework, types of waits and all other selenium commands,
  • Ans. 

    HashMap is not synchronized, therefore it's faster and uses less memory than Hashtable.

  • Answered Anonymously
  • Q5. What is the difference between hashmap and hashtable?
  • Ans. 

    HashMap and HashTable are both data structures used to store key-value pairs, but HashMap is not synchronized and allows null keys/values.

    • HashMap is not synchronized, while HashTable is synchronized.

    • HashMap allows null keys and values, while HashTable does not.

    • HashMap is faster than HashTable for most operations.

    • HashMap is part of the Java Collections Framework, while HashTable is a legacy class.

  • Answered by AI
  • Q6. What is testing

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Job Portal and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What is Composite Key ?
  • Ans. 

    A composite key is a combination of two or more columns in a database table that uniquely identifies each row.

    • Composite keys are used when a single column cannot uniquely identify a row.

    • They are created by combining multiple columns together.

    • Example: a table tracking student enrollments may use a composite key of student ID and course ID.

  • Answered by AI
  • Q2. What is Circular Loop ?
  • Ans. 

    A circular loop is a closed path in which the end points are connected to form a circle.

    • A circular loop can be found in electrical circuits where current flows continuously in a closed path.

    • Circular loops are commonly used in magnetic fields to demonstrate the concept of magnetic flux.

    • Circular loops can also refer to physical objects like a hula hoop or a circular roller coaster track.

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. Where do you see yourself after 5 years ?
  • Ans. 

    In 5 years, I see myself as a senior data analyst leading a team, implementing advanced analytics techniques, and contributing to strategic decision-making.

    • Leading a team of data analysts

    • Implementing advanced analytics techniques

    • Contributing to strategic decision-making

    • Continuing professional development and learning new technologies

    • Building strong relationships with stakeholders

  • Answered by AI
  • Q2. Your Expected Salary ?
  • Ans. 

    My expected salary is based on my experience, skills, and the market rate for Data Analyst positions.

    • I have researched the average salary range for Data Analyst roles in this location.

    • I am open to negotiation based on the overall compensation package offered.

    • I am looking for a salary that reflects my expertise and contributions to the team.

    • I am confident that my skills and experience justify a competitive salary.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Just tell what in you mind at that time do streatch your mind. Be causal

Skills evaluated in this interview

Data Analyst Interview Questions & Answers

user image Md. Rezaul Karim

posted on 20 Sep 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Write an SQL query using window function?
  • Ans. 

    SQL query using window function

    • Use the OVER() clause to define the window frame

    • Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE()

    • Example: SELECT column1, column2, ROW_NUMBER() OVER(ORDER BY column1) AS row_num FROM table_name

  • Answered by AI
  • Q2. What is the difference between OLAP and OLTP?

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 16 Jan 2025

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Pyspark functions used in project
  • Ans. 

    Various Pyspark functions used in a project

    • filter() - used to filter out rows based on a condition

    • groupBy() - used to group data based on a column

    • agg() - used for aggregation functions like sum, avg, etc.

    • join() - used to join two DataFrames based on a key column

    • select() - used to select specific columns from a DataFrame

  • Answered by AI

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 16 Aug 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Describe me the projects you mentioned in the project
  • Ans. 

    I have worked on projects involving data analysis for marketing campaigns, customer segmentation, and sales forecasting.

    • Developed predictive models to optimize marketing campaigns and increase ROI

    • Utilized clustering algorithms to segment customers based on behavior and demographics

    • Built time series models to forecast sales and inventory levels

    • Performed A/B testing to evaluate the effectiveness of different strategies

  • Answered by AI
  • Q2. Case study on product developement

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 30 Nov 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Statustics related questions

Round 2 - Coding Test 

Python and sql coding

Round 3 - HR 

(2 Questions)

  • Q1. Basic behavioral questions
  • Q2. Badic questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident about yourself

Accenture Interview FAQs

How many rounds are there in Accenture Data Analyst interview?
Accenture interview process usually has 2-3 rounds. The most common rounds in the Accenture interview process are Technical, Aptitude Test and HR.
How to prepare for Accenture 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 Accenture. The most common topics and skills that interviewers at Accenture expect are Data Analysis, Python, SQL, Data Visualization and Data Analytics.
What are the top questions asked in Accenture Data Analyst interview?

Some of the top questions asked at the Accenture Data Analyst interview -

  1. Do you have any experience working in cloud environmen...read more
  2. What are OOPS? 4 Pillar of OOPS? Polymorphism? Code: Sort an array in either as...read more
  3. What does the "K" in K-Nearest Neighbors (KNN) stand for, and is it a supervise...read more
What are the most common questions asked in Accenture Data Analyst HR round?

The most common HR questions asked in Accenture Data Analyst interview are -

  1. What are your strengths and weakness...read more
  2. Why should we hire y...read more
  3. What are your salary expectatio...read more
How long is the Accenture Data Analyst interview process?

The duration of Accenture Data Analyst 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 71 interview experiences

Difficulty level

Easy 29%
Moderate 66%
Hard 6%

Duration

Less than 2 weeks 66%
2-4 weeks 17%
4-6 weeks 6%
6-8 weeks 9%
More than 8 weeks 3%
View more

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Accenture Data Analyst Salary
based on 3.4k salaries
₹4.7 L/yr - ₹12.6 L/yr
23% more than the average Data Analyst Salary in India
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