WNS Denali Senior Analyst Interview Questions and Answers

Raw data can be cleaned by removing duplicates, handling missing values, standardizing formats, and correcting errors.

• Remove duplicates by identifying unique identifiers and filtering out redundant entries.

• Handle missing values by imputing with mean, median, or mode values or removing rows with missing data.

• Standardize formats by converting data into a consistent format (e.g. date formats, units of measurement).

• Correct...read more

To establish a relationship between two tables, use a common key or field that links the records in both tables.

• Use primary and foreign keys to establish relationships between tables.

• Primary key in one table should match the foreign key in another table.

• Types of relationships include one-to-one, one-to-many, and many-to-many.

• Examples: CustomerID in a Customers table can be linked to CustomerID in Orders table.

My strengths include strong analytical skills, attention to detail, and ability to work well under pressure.

• Strong analytical skills - able to interpret data and draw meaningful conclusions

• Attention to detail - meticulous in reviewing and analyzing information

• Ability to work well under pressure - can prioritize tasks and meet deadlines effectively

One of my weaknesses is that I can be overly critical of my own work.

• I tend to be a perfectionist and can spend too much time on a task trying to make it perfect.

• I sometimes struggle with delegating tasks to others because I want to ensure they are done correctly.

• I am working on improving my time management skills to avoid getting bogged down in details.

SQL is a structured query language used for relational databases, while NoSQL is a non-relational database management system.

• SQL is used for structured data with predefined schema, while NoSQL is used for unstructured or semi-structured data.

• SQL databases are vertically scalable, while NoSQL databases are horizontally scalable.

• SQL databases are ACID compliant, ensuring data integrity, while NoSQL databases sacrifice so...read more

As a Quality Analyst in a Quality Laboratory, my responsibility is to ensure the accuracy and reliability of test results and maintain the quality standards of the laboratory.

• Performing various tests and analyses on samples to determine their quality and composition

• Calibrating and maintaining laboratory equipment to ensure accurate results

• Following standard operating procedures and protocols to ensure consistency and r...read more

In Analyst lab, what works is a combination of advanced technology, skilled professionals, and a well-structured process.

• Advanced technology like automation tools, testing software, and data analytics tools are used to ensure accuracy and efficiency.

• Skilled professionals with expertise in testing methodologies, data analysis, and problem-solving work together to identify and resolve issues.

• A well-structured process tha...read more

I am a dedicated and detail-oriented Business Analyst with a strong background in data analysis and problem-solving.

• I have a Bachelor's degree in Business Administration

• I have 5 years of experience in analyzing business processes and identifying areas for improvement

• I am proficient in using data analysis tools such as Excel, SQL, and Tableau

• I have a proven track record of successfully implementing process improvements ...read more