Lenovo Data Analyst Interview Questions and Answers

Q1. What is an inactive relationship in PBI
Ans. 
An inactive relationship in Power BI is a relationship that is not being used in any visualizations or calculations.
• Inactive relationships can occur when a relationship is created but not utilized in any measures or visuals.

• These relationships do not impact the data model or query performance, but can clutter the model view.

• To remove an inactive relationship, you can delete it from the relationship view in Power BI.

• Ina...read more
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Q2. Import vs Direct Query vs Live connection
Ans. 
Import vs Direct Query vs Live connection
• Import: Data is imported into the tool for analysis, suitable for small datasets or when real-time data is not required

• Direct Query: Data is queried directly from the source in real-time, suitable for large datasets or when up-to-date data is needed

• Live connection: Data is connected live to the source, allowing for real-time updates and analysis without storing data locally
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Skil set for My relevant job update

Communication discussion

Q1. About My profile and knowledge
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Q2. About My attitude and experience
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Q1. Excel formula and macro MS word and PowerPoint dashboard advanced Excel and power bi
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Q1. Introduction about our self
Ans. 
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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The diagonals AC and BD of a cyclic quadrilateral ABCD intersect each other at the point P. Then, it is always true that

Q1. Nding Now DSA Data Structures Algorithms Interview Preparation Data Science Topic-wise Practice C C++ Java JavaScript Python Competitive Programming Machine Learning Aptitude Write & Earn Web Development P...read more
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Q2. Everything you need to know about the job-search process itself.nding Now DSA Data Structures Algorithms Interview Preparation Data Science Topic-wise Practice C C++ Java JavaScript Python Competitive Prog...read more
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It was not easy only people can clear who are better in pandas and numpy

Q1. Mostly focus on graphs and dp
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Dsa questions in java questions- dynamic programming

Q1. Resume based questions were asked
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Q2. Expectatons from job
Ans. 
I expect a challenging role where I can utilize my analytical skills to solve complex problems and contribute to the success of the organization.
• Opportunity to work with large datasets and use statistical analysis to derive insights

• Collaboration with cross-functional teams to drive data-driven decision making

• Continuous learning and professional development opportunities

• Clear communication of findings and recommendation
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Q1. Tell me about the project you have worked recently
Ans. 
Developed a predictive analytics model to forecast customer churn for a telecom company
• Used Python and SQL to clean and analyze customer data

• Implemented machine learning algorithms such as logistic regression and random forest

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q2. What kind of forecasting have you done
Ans. 
I have experience in time series forecasting using statistical models and machine learning algorithms.
• Utilized ARIMA model to forecast sales data for a retail company

• Implemented Prophet algorithm to predict stock prices for a financial institution

• Used LSTM neural network for demand forecasting in supply chain management
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Excel assessment- was made to make a report from multiple sheets