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I applied via Approached by Company and was interviewed in Jun 2024. There was 1 interview round.
Power Pivot is a data analysis tool in Excel that allows users to create powerful data models, perform calculations, and generate insights.
Power Pivot is an Excel add-in used for data analysis and modeling.
It allows users to import and manipulate large datasets from different sources.
Users can create relationships between tables, perform calculations, and create advanced data visualizations.
Power Pivot is commonly used...
To retrieve data over 3 months in a dynamic dashboard, use a date range filter and ensure the data source is updated regularly.
Create a date range filter in the dashboard to select a time period of over 3 months
Ensure the data source is updated regularly to include the required data
Use SQL queries or data extraction tools to pull the necessary data for the dashboard
Consider automating the data retrieval process to ensu...
A Dicreat Chart is a type of chart that displays data points in a discrete manner, typically using bars or columns.
Dicreat Charts are used to represent categorical data, where each category is represented by a separate bar or column.
They are commonly used in market research, survey data analysis, and comparison of different categories.
Examples of Dicreat Charts include bar charts, column charts, and stacked bar charts.
SQL join is used to combine rows from two or more tables based on a related column between them.
Types of SQL joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
INNER JOIN returns rows when there is at least one match in both tables.
LEFT JOIN returns all rows from the left table and the matched rows from the right table.
RIGHT JOIN returns all rows from the right table and the matched rows from the left table...
Stored procedures are precompiled SQL queries stored in a database for reuse.
Stored procedures are precompiled SQL queries stored in a database for reuse
They can improve performance by reducing network traffic and increasing security
Stored procedures can be used to encapsulate business logic and complex queries
Examples include procedures for updating customer information or calculating sales totals
CTE stands for Common Table Expressions. It is a temporary result set that can be referenced within a SELECT, INSERT, UPDATE, or DELETE statement.
CTEs are defined using the WITH keyword in SQL.
They help improve readability and maintainability of complex queries.
CTEs can be recursive, allowing for hierarchical data querying.
Examples: Recursive CTEs for querying organizational hierarchies, CTEs for data transformation be...
Matrix in PowerBi is a visual representation of data in rows and columns, allowing for easy comparison and analysis.
Matrix displays data in a grid format with rows and columns
It allows for easy comparison of data across different categories
Users can drill down into the data to see more detailed information
Matrix can be used to create interactive reports and dashboards
Lambda function is an anonymous function in Python that can have any number of arguments, but can only have one expression.
Used for creating small, throwaway functions without a name
Commonly used with functions like map(), filter(), and reduce()
Can be used to define functions inline without the need to formally define a function using def keyword
To manipulate datasets in Python, steps include loading data, cleaning data, transforming data, and analyzing data using libraries like Pandas.
Load the dataset using Pandas library
Clean the data by handling missing values, removing duplicates, and correcting data types
Transform the data by applying functions, merging datasets, and creating new columns
Analyze the data by performing statistical analysis, visualizations, ...
DAX data types are used in Power BI and Excel to define the type of data stored in a column or measure.
DAX data types include Integer, Decimal Number, String, Boolean, Date, Time, DateTime, and Currency.
Data types are important for calculations and formatting in DAX formulas.
For example, using the correct data type for a column can ensure accurate calculations and visualizations.
Developed a predictive analytics model to forecast customer churn rate in a telecom company.
Utilized machine learning algorithms to analyze customer data
Identified key factors contributing to customer churn
Built a predictive model to forecast future churn rate
Collaborated with cross-functional teams to implement strategies to reduce churn
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posted on 18 May 2018
I applied via Referral and was interviewed before Nov 2020. There was 1 interview round.
I applied via LinkedIn and was interviewed before Nov 2021. There were 3 interview rounds.
I have worked on various ERP modules including finance, HR, inventory, and procurement.
Finance module for managing financial transactions and generating reports
HR module for managing employee data, payroll, and benefits
Inventory module for tracking stock levels and managing orders
Procurement module for managing purchase orders and vendor relationships
I have used various project management tools such as JIRA, Trello, Asana, and Microsoft Project.
JIRA for agile project management and issue tracking
Trello for visual project management and collaboration
Asana for task management and team communication
Microsoft Project for project planning and scheduling
I would assess the impact of the change, communicate with the team and stakeholders, and update the project plan accordingly.
Listen to the customer's request and clarify the changes
Assess the impact of the change on the project timeline, budget, and resources
Communicate the changes to the project team and stakeholders
Update the project plan and document the changes
Ensure that the changes align with the project goals an...
I applied via Company Website and was interviewed before Jun 2023. There were 5 interview rounds.
As a Business Analyst, I bridge the gap between stakeholders and IT, ensuring project requirements align with business goals.
Conducting stakeholder interviews to gather requirements, such as understanding user needs for a new software tool.
Analyzing data trends to identify areas for improvement, like reducing customer churn by 15% through targeted marketing strategies.
Creating detailed documentation, including business...
Case study on ecommerce system
Case study on path lab
I applied via LinkedIn and was interviewed before Jun 2023. There were 2 interview rounds.
Logical reasoning and critical thinking
Case study to test appraching problem statement and solutioning, consensus building and prioritization
posted on 2 Nov 2021
I applied via Referral and was interviewed before Nov 2020. There were 3 interview rounds.
posted on 15 May 2023
I applied via Monster and was interviewed in Nov 2022. There were 4 interview rounds.
May be Screening Process or Assignment related to do the documentations or to do the wireframe of a problem statement
I applied via Campus Placement and was interviewed before Oct 2022. There were 3 interview rounds.
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