Filter interviews by
posted on 5 Aug 2023
I applied via Recruitment Consulltant and was interviewed in Feb 2023. There were 3 interview rounds.
I applied via Campus Placement and was interviewed before Jun 2021. There were 2 interview rounds.
I applied via Walk-in and was interviewed in Oct 2024. There were 2 interview rounds.
Easy on cyber security
posted on 30 Dec 2024
A data analyst is a professional who collects, processes, and analyzes data to provide insights and support decision-making.
Collects data from various sources
Cleans and processes data to ensure accuracy
Analyzes data using statistical methods and tools
Interprets data to identify trends and patterns
Presents findings and recommendations to stakeholders
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
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
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...
I applied via LinkedIn and was interviewed before Sep 2023. There were 2 interview rounds.
Basic python ,sql questions
List, tuple, set, and dict comprehensions are concise ways to create these data structures in Python.
List comprehension: [x for x in range(10)]
Tuple comprehension does not exist in Python, as tuples are immutable.
Set comprehension: {x for x in range(10)}
Dict comprehension: {x: x**2 for x in range(10)}
DAX (Data Analysis Expressions) is a formula language used in Power BI, Excel, and other Microsoft tools for data analysis.
DAX is used to create custom calculations, measures, and columns in data models.
It is similar to Excel formulas but optimized for data analysis.
DAX functions can be used to manipulate and analyze data in Power BI reports.
Examples of DAX functions include SUM, AVERAGE, CALCULATE, and RELATED.
based on 1 review
Rating in categories
Assistant Vice President
2.3k
salaries
| ₹17 L/yr - ₹45 L/yr |
Senior Analyst
1.1k
salaries
| ₹3 L/yr - ₹11.3 L/yr |
Assistant Manager
987
salaries
| ₹6.7 L/yr - ₹25 L/yr |
Process Advisor
895
salaries
| ₹1 L/yr - ₹8.3 L/yr |
Analyst
787
salaries
| ₹11.6 L/yr - ₹20.6 L/yr |
Deutsche Bank
Accenture
Amazon
Deloitte