ANZ Banking Group Senior Business Analyst Interview Questions and Answers for Experienced

Q1. How do you match our values?
Ans. 
I match your values through my commitment to integrity, teamwork, and continuous improvement.
• I prioritize honesty and transparency in all data analysis processes.

• I value collaboration and actively seek input from team members to enhance project outcomes.

• I am dedicated to ongoing learning and skill development to stay current in the field.

• I strive for excellence in all tasks and take pride in delivering high-quality wor...read more
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Q1. Give example of a data science project you worked on
Ans. 
Developed a predictive model to forecast customer churn for a telecommunications company
• Collected and cleaned customer data including demographics, usage patterns, and customer service interactions

• Performed exploratory data analysis to identify key factors influencing customer churn

• Built a machine learning model using logistic regression to predict likelihood of customer churn

• Evaluated model performance using metrics s...read more
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Was asking to solve case study based on Python, find the relevant insights

Q1. Automation you have done
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Q1. Would you send a mail to stakeholder in place of your colleague
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Hackerrank test of 2 medium questions

Q1. ALL technical from your resume
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Q1. Typical HR Interview
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It was basic questions

Q1. Completely technical about sql
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Q1. Final manager round
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Q1. Sas proc format
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Q2. How have you debug macros
Ans. 
I have debugged macros by reviewing code, checking for errors, using print statements, and stepping through code.
• Reviewing the macro code line by line to identify any syntax errors or logical mistakes

• Using print statements to output variable values and check for unexpected results

• Stepping through the code using a debugger tool to track the flow of execution and pinpoint issues

• Testing the macro with different inputs to
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Q3. How big data handled by you
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I handle big data by using advanced analytics tools and techniques to extract valuable insights.
• Utilize data visualization tools like Tableau or Power BI to analyze and present data

• Use programming languages like Python or R for data manipulation and statistical analysis

• Implement machine learning algorithms to uncover patterns and trends in large datasets

• Leverage cloud computing platforms like AWS or Google Cloud for sc...read more
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Q1. Questions mainly involved window function, recursion, some puzzels
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