Ernst & Young Technology Consultant Interview Questions, Process, and Tips for Experienced

I have 3 years of experience working in the Data Analytic team where I analyzed large datasets to provide insights and recommendations.

• Performed data cleaning and preprocessing tasks to ensure data accuracy

• Utilized statistical analysis and machine learning techniques to extract valuable information

• Created data visualizations and reports to communicate findings to stakeholders

Data cleansing involves identifying and correcting errors in data to improve its quality. Ways to analyze data include using statistical methods, data visualization, and machine learning algorithms.

• Identify and remove duplicate records

• Standardize data formats and values

• Fill in missing values using imputation techniques

• Use data profiling to understand data quality issues

• Apply data validation rules to ensure accuracy

• Util...read more

I would deal with the overwhelming nature of working in a Big4 by prioritizing tasks, seeking support from colleagues, and practicing self-care.

• Prioritize tasks based on deadlines and importance to avoid feeling overwhelmed

• Seek support from colleagues or mentors to discuss challenges and brainstorm solutions

• Practice self-care activities such as exercise, meditation, or hobbies to manage stress and maintain work-life ba

Data privacy refers to the protection of personal information from unauthorized access or disclosure.

• Data privacy involves controlling who has access to personal information

• It includes ensuring that data is securely stored and transmitted

• Examples include encryption, access controls, and data anonymization

Cloud computing is the delivery of computing services over the internet, including storage, databases, networking, software, and more.

• Allows users to access and store data and applications on remote servers instead of on their local devices

• Provides scalability, flexibility, and cost-effectiveness for businesses

• Examples include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform