Data Research Executive

Data Research Executive Interview Questions and Answers

Updated 27 Jan 2025

Q1. How do you extract data from LinkedIn, and what tools do you use for this purpose?

Ans.

I use web scraping tools like Octoparse or Import.io to extract data from LinkedIn.

Use web scraping tools like Octoparse or Import.io to extract data from LinkedIn
Identify the specific data you want to extract (e.g. job titles, company names, contact information)
Set up the scraping tool to navigate through LinkedIn profiles and extract the desired data
Export the extracted data into a usable format like CSV or Excel

Q2. How much data do you extract on a daily or weekly basis?

Ans.

I extract an average of 10,000 data points daily for analysis and reporting.

On average, I extract around 10,000 data points daily for analysis.
The amount of data extracted may vary depending on the project or research needs.
I use various tools and software to efficiently extract and manage data.
Examples of data sources include databases, APIs, web scraping, and surveys.

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Q3. How do you conduct in-depth searches on Google before buying a smartphone?

Ans.

I conduct in-depth searches on Google before buying a smartphone by considering various factors such as specifications, reviews, and prices.

I start by researching the latest smartphone models available in the market.
I look for detailed specifications of the smartphones, including the processor, RAM, storage capacity, camera quality, and display.
I read expert reviews and user opinions to understand the pros and cons of different smartphones.
I compare prices from different onli...read more

Q4. Is it a paid tool or does it offer a free demo?

Ans.

The tool offers a free demo before purchasing the paid version.

The tool offers a free demo for users to try out its features before committing to a paid subscription.
The free demo may have limited functionality compared to the paid version.
Users can upgrade to the paid version for access to additional features and support.
Examples of tools that offer free demos include Tableau, IBM SPSS, and SEMrush.

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Q5. What types of tools are used for data analysis?

Ans.

Various tools such as Excel, Python, R, Tableau, and Power BI are commonly used for data analysis.

Excel is commonly used for basic data analysis and visualization.
Python and R are popular programming languages for statistical analysis and machine learning.
Tableau and Power BI are used for creating interactive visualizations and dashboards.
SQL is essential for querying databases and extracting relevant data.

Q6. Are you aware of RERA? What is it?

Ans.

Yes, RERA stands for Real Estate Regulatory Authority. It is a regulatory body in India that aims to protect the interests of homebuyers and promote transparency in the real estate sector.

RERA was established in 2016 under the Real Estate (Regulation and Development) Act.
Its main objective is to regulate and promote the real estate sector by ensuring transparency, accountability, and efficiency.
RERA mandates that all real estate projects must be registered with the authority ...read more

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