Accenture Senior Data Analyst Interview Questions, Process, and Tips

Q1. All about project Behavioural questions
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Q2. Advanced SQL queries File loading pipeline to db
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Q3. Cloud technologies and implications
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Cloud technologies offer scalability, flexibility, and cost savings for data storage and processing.
• Cloud computing allows for on-demand access to computing resources

• Data can be stored and processed in the cloud, reducing the need for on-premise infrastructure

• Cloud technologies offer scalability, allowing for easy expansion or contraction of resources as needed

• Cloud computing can also offer cost savings compared to tra...read more
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Q4. AWS cloud focused interview with deep dive
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Q1. Various sql queries and questions were asked
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Q1. Tell me about yourself
Ans. 
Experienced data analyst with a background in statistics and programming.
• Over 5 years of experience in analyzing and interpreting complex data sets

• Proficient in statistical analysis tools such as R and Python

• Strong background in data visualization techniques

• Excellent communication skills for presenting findings to stakeholders
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Q1. What is clustering? And how do you check if a ML model is performing well?
Ans. 
Clustering is a machine learning technique used to group similar data points together. Model performance can be checked using evaluation metrics like silhouette score or inertia.
• Clustering is the process of dividing a set of data points into groups based on their similarities.

• Common clustering algorithms include K-means, hierarchical clustering, and DBSCAN.

• To check if a ML model is performing well, evaluation metrics l...read more
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Q2. Explain the difference between Arithmetic mean, Harmonic mean and Geometric mean?
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Arithmetic mean is the sum of all values divided by the number of values. Harmonic mean is the reciprocal of the arithmetic mean of the reciprocals of the values. Geometric mean is the nth root of the product of n values.
• Arithmetic mean is most commonly used and is calculated by summing all values and dividing by the number of values.

• Harmonic mean is used when dealing with rates or ratios, and is calculated by taking t...read more
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It was a good experience.I have completed it.

Q1. Tell me something about yourself
Ans. 
I am a highly analytical and detail-oriented data analyst with a passion for solving complex problems.
• I have a strong background in statistics and data visualization

• I am proficient in programming languages such as Python and SQL

• I have experience working with large datasets and conducting in-depth analysis

• I have excellent communication skills and can effectively present findings to stakeholders
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Q2. Expected salary
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Negotiable based on the responsibilities and benefits offered by the company.
• My salary expectations are flexible and dependent on the responsibilities and benefits provided by the company.

• I am open to discussing salary based on the overall compensation package.

• I am looking for a competitive salary that aligns with industry standards for a Senior Data Analyst role.
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