Wipro Data Analyst Interview Questions, Process, and Tips

I have a background in data analysis with experience in using tools like Python, SQL, and Tableau.

• I have a degree in Statistics and have worked as a Data Analyst for 3 years.

• My daily activities include cleaning and analyzing data, creating visualizations, and presenting insights to stakeholders.

• I use Python for data manipulation and analysis, SQL for querying databases, and Tableau for creating interactive dashboards.

• I...read more

Advanced Excel and Power BI are tools used for data analysis and visualization in companies and for clients.

• Advanced Excel allows for complex data manipulation, analysis, and visualization using features like pivot tables, macros, and VBA programming.

• Power BI is a business analytics tool that provides interactive visualizations and business intelligence capabilities, connecting to various data sources.

• These tools are u...read more

I have extensive experience in using Advanced Excel and Power BI for data analysis projects.

• Created complex formulas and macros in Excel to automate data processing tasks

• Designed interactive dashboards in Power BI to visualize and analyze data trends

• Integrated data from multiple sources into Power BI for comprehensive analysis

• Used Power Query and Power Pivot in Excel to manipulate and analyze large datasets

• Provided dat...read more

Credit and operations concepts in relation to KYC procedures and client data privacy.

• Credit refers to the extension of money or resources to a client based on their financial history and ability to repay.

• Operations involve the day-to-day processes and procedures within a financial institution to ensure smooth functioning.

• KYC procedures are used to verify the identity of clients to prevent fraud and money laundering.

• Pri...read more

Work details involve analyzing data, creating reports, and providing insights to support decision-making.

• Analyze data to identify trends and patterns

• Create reports and visualizations to communicate findings

• Collaborate with stakeholders to understand business needs

• Use statistical tools and techniques to draw conclusions

• Provide insights and recommendations based on data analysis

• Ensure data accuracy and integrity

• Stay upda

OLTP stands for Online Transaction Processing, used for real-time transaction processing. OLAP stands for Online Analytical Processing, used for complex queries and data analysis.

• OLTP is used for day-to-day transaction processing in real-time

• OLAP is used for complex queries and data analysis for decision-making

• OLTP databases are normalized for efficient transaction processing

• OLAP databases are denormalized for faster q...read more

Truncate removes all rows from a table, while delete removes specific rows. Drop deletes the entire table structure.

• Truncate is faster than delete as it does not log individual row deletions.

• Delete is slower than truncate as it logs each row deletion.

• Drop removes the table structure along with all data, while truncate and delete only remove data.

• Truncate and delete can be rolled back, but drop cannot be rolled back.

• Exa...read more

Optimisation in SQL involves improving query performance by writing efficient queries and indexing tables.

• Use indexes on columns frequently used in WHERE clauses

• Avoid using SELECT * and only retrieve necessary columns

• Use EXISTS instead of IN for subqueries

• Avoid using functions in WHERE clauses as they can slow down performance

Windows functions in SQL are used to perform calculations across a set of table rows related to the current row.

• Windows functions are used to calculate values based on a specific window or subset of rows within a table.

• They can be used to calculate running totals, moving averages, rank, and more.

• Examples of window functions include ROW_NUMBER(), RANK(), SUM() OVER(), and AVG() OVER().