Stee Software Technologies Data Analyst Interview Questions and Answers

1st round was Coading round was there

Q1. Coading round was there
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Q2. Coading round was there in the interview
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Q1. Introduction about our self
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I am a data analyst with 5 years of experience in analyzing and interpreting complex data sets to drive business decisions.
• I have a strong background in statistical analysis and data visualization techniques.

• Proficient in SQL, Python, and Tableau for data manipulation and reporting.

• Experience in developing predictive models and conducting A/B testing to optimize marketing strategies.
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Q2. Complete discussion about projects
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Q1. Basics of plsql
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Q1. Basics of Sql and Powerbi
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Q1. What is ur expecting salary
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KPI's for the ecommerce industries

Contains math aptitide and basic tableau questions

Sql coding test with joins sub queries and stored procedures

Common aptitude, some questions from C, C++, and java were also asked

Q1. Data structures and algorithms
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Q2. Machine learning algorithms
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Machine learning algorithms are used to train models to make predictions or decisions based on data.
• Machine learning algorithms can be supervised, unsupervised, or semi-supervised

• Examples of machine learning algorithms include linear regression, decision trees, and neural networks

• Machine learning algorithms require large amounts of data to train and validate models

• The choice of algorithm depends on the problem being so
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Q1. Dense rank and row number differenxw
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Difference between dense rank and row number
• Dense rank assigns the same rank to ties, while row number assigns a unique rank to each row

• Dense rank skips ranks when there are ties, while row number does not

• Dense rank is used to calculate percentiles, while row number is used for pagination
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Q2. Sql and nosql diff? Python functions
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Q1. Some questions on background, why this role
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