i
LOREAL
Filter interviews by
Clear (1)
I applied via Walk-in and was interviewed before Apr 2021. There were 2 interview rounds.
Cricket vs chess
Maths, GK
I applied via Newspaper Ad and was interviewed before Apr 2021. There was 1 interview round.
I would highlight the benefits of the product and its value for money.
Emphasize the product's features and how they can improve the family's lifestyle
Explain how the product is a long-term investment and will save money in the long run
Offer a payment plan or financing options to make it more affordable
Provide customer testimonials or reviews to build trust
Offer a limited-time discount or promotion to incentivize the pu
Our product is a revolutionary software that streamlines business operations and increases productivity.
Our software automates repetitive tasks, saving time and reducing errors.
It integrates with existing systems, making implementation seamless.
Our product has been proven to increase efficiency by up to 30%.
We offer personalized support and training to ensure successful adoption.
Our software is scalable and can grow wi
To understand if the product has been bought by the customer, we can analyze sales data, customer feedback, and usage patterns.
Analyze sales data to see if there is a significant increase in product purchases.
Gather customer feedback through surveys or reviews to determine if they have bought and used the product.
Monitor usage patterns or engagement metrics to see if customers are actively using the product.
Track repea...
I applied via Naukri.com and was interviewed before Jun 2020. There was 1 interview round.
I am a highly motivated and results-driven business development executive with a proven track record in driving revenue growth and building strong client relationships.
I have over 5 years of experience in business development, working with both startups and established companies.
I have successfully identified and pursued new business opportunities, resulting in a 30% increase in sales within the first year at my previo...
Top trending discussions
Time intelligence functions like YTD (Year-to-Date) and QTD (Quarter-to-Date) can be used for YTD and QTD analysis in data analytics.
YTD analysis can be done using functions like YTD() or TOTALYTD() to calculate values from the beginning of the year up to the selected date.
QTD analysis can be done using functions like QTD() or TOTALQTD() to calculate values from the beginning of the quarter up to the selected date.
Thes...
Import brings data into Power BI for further analysis, while direct query connects to data source in real-time.
Import: Data is loaded into Power BI for analysis, improving performance but requiring periodic refreshes.
Direct Query: Connects to data source in real-time, allowing for up-to-date information but potentially slower performance.
Import is suitable for smaller datasets, while direct query is better for large da
I applied via Naukri.com and was interviewed in Jun 2021. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Nov 2021. There were 4 interview rounds.
Yes, I am always open to learning new technologies.
I actively seek out opportunities to learn new technologies.
I have taken online courses to learn new programming languages.
I am comfortable with using online resources to learn new technologies.
I am excited to learn about any new technologies that may be relevant to my work.
Financial statements are reports that show the financial performance of a company.
Financial statements include the balance sheet, income statement, and cash flow statement.
The balance sheet shows the company's assets, liabilities, and equity.
The income statement shows the company's revenue, expenses, and net income.
The cash flow statement shows the company's cash inflows and outflows.
Financial statements are important ...
I applied via LinkedIn and was interviewed in Feb 2022. There was 1 interview round.
Developed a script for forecasting using KNN and data science models.
Developed a script using Python to forecast sales for a retail company using KNN algorithm.
Built a data science model to predict customer churn for a telecom company using logistic regression.
Used time series analysis to forecast stock prices for a financial services company.
Developed a script to predict the likelihood of a customer defaulting on a lo...
I applied via Naukri.com and was interviewed in May 2023. There were 4 interview rounds.
based on 3 reviews
Rating in categories
Business Development Executive
439
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Business Development Executive
182
salaries
| ₹0 L/yr - ₹0 L/yr |
Beauty Advisor
101
salaries
| ₹0 L/yr - ₹0 L/yr |
Sales Executive
98
salaries
| ₹0 L/yr - ₹0 L/yr |
Area Sales Manager
92
salaries
| ₹0 L/yr - ₹0 L/yr |
Hindustan Unilever
Procter & Gamble
Johnson & Johnson
Colgate Palmolive