Filter interviews by
I applied via LinkedIn and was interviewed before Oct 2022. There were 3 interview rounds.
I have experience with Tableau, PowerBI, and Data Studio for data visualization and analysis.
Proficient in creating interactive dashboards and reports using Tableau
Experience in connecting to various data sources and transforming data in PowerBI
Familiar with creating data visualizations and sharing insights in Data Studio
Top trending discussions
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
It was simple but lengthy
I am a data analyst with a strong background in statistics and data visualization.
Graduated with a degree in Statistics
Proficient in programming languages like Python and R
Experience in analyzing large datasets and creating data visualizations
Strong problem-solving skills
An inactive relationship in Power BI is a relationship that is not being used in any visualizations or calculations.
Inactive relationships can occur when a relationship is created but not utilized in any measures or visuals.
These relationships do not impact the data model or query performance, but can clutter the model view.
To remove an inactive relationship, you can delete it from the relationship view in Power BI.
Ina...
Import vs Direct Query vs Live connection
Import: Data is imported into the tool for analysis, suitable for small datasets or when real-time data is not required
Direct Query: Data is queried directly from the source in real-time, suitable for large datasets or when up-to-date data is needed
Live connection: Data is connected live to the source, allowing for real-time updates and analysis without storing data locally
I applied via LinkedIn and was interviewed before Dec 2022. There were 3 interview rounds.
15 statistical and logical questions
2 easy to medium coding problmes. e.g. swapping the array.
Regression is a statistical method used to analyze the relationship between variables and predict outcomes.
Regression models the relationship between a dependent variable and one or more independent variables.
It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.
Examples include linear regression, polynomial regression, and logistic regression.
I expect challenging projects, opportunities for growth, collaborative team environment, and work-life balance.
Challenging projects that allow me to apply my data science skills and learn new techniques
Opportunities for growth and advancement within the company
Collaborative team environment where I can share ideas and work together towards common goals
Work-life balance to ensure I can perform at my best both profession
Topic was joining and calculating
posted on 2 Jan 2025
Basic python questions
1 hour baisc on general aptitude
I am passionate about leveraging data to drive insights and make informed decisions.
Passionate about working with data and analytics
Excited about the opportunity to contribute to data-driven decision making
Interested in the challenges and opportunities in the field of data engineering
I am currently earning a competitive salary based on my experience and skills.
My current salary is in line with industry standards for data engineers.
I have received raises and bonuses based on my performance.
I am open to discussing salary expectations for this role.
I applied via LinkedIn and was interviewed before Dec 2022. There were 3 interview rounds.
based on 1 review
Rating in categories
Design Engineer
81
salaries
| ₹2.7 L/yr - ₹10 L/yr |
Associate Design Engineer
25
salaries
| ₹3 L/yr - ₹7 L/yr |
Design Engineer 1
21
salaries
| ₹5.2 L/yr - ₹10.2 L/yr |
Design Engineer II
15
salaries
| ₹5.2 L/yr - ₹14 L/yr |
Applications Engineer
14
salaries
| ₹6.5 L/yr - ₹12 L/yr |
Timken
Schaeffler India
SKF
Bharat Forge