Enhanced Veterans Solutions, Inc. is hiring for Business Analyst
Remote - USA, VA

Salary Denoscription
$75,000 to 83,000

Apply Link : https://recruiting.paylocity.com/Recruiting/Jobs/Details/2882257

We are hiring Business system analyst

Location: Mechanicsville, VA - Hybrid - Local to VA candidates are required.

If you are interested or have a referral, please share resume at
✉ shaik.sameera@biitservices.com

Job noscript: BI Analyst
Location: Cleaveland, OH (Hybrid) Only Local
Duration: Long-term.
Experience: 12 Years required.
Client: Cognizant / Optum.

Must have a Local candidate Only.
Strong BI Analyst Experience candidate.
Healthcare experience is a Plus.

Please share the profile with samba@avtechsol.com.

BA Interview Questions and Answers -Practice Set

Phonepe is BULK HIRING FRESHERS!!

Role: Business Development Associate
Pay: INR 25,000 / month
Location: Pan- India
Graduation: 2023/ 2022/ 2021/ 2020
Required: 6 months experience in field sales

🔗 Apply link : https://forms.gle/9T4hnjGNkZmR7DoBA

Reference number: ZW1212 (Mandatory)

Let's start with solving guesstimates

Like this post if you want me to continue

Let's begin with first problem

Calculate market size for Number of cars in USA
(Number of people is 300m)

To calculate the market size in terms of the number of cars in the USA with a population of 300 million people, we need to make certain assumptions:

1. Assumption 1: An average ratio of people per car. This ratio varies based on factors like urbanization, wealth distribution, and cultural preferences.

2. Assumption 2: It's common to use the number of licensed drivers or households as a proxy for car ownership.

Now, let's make a simplified calculation with the assumption that the average ratio of people to cars is 2.5 (which means on average, 2.5 people own one car). With a population of 300 million in the USA:

Total number of cars = Population / People per car

Total number of cars = 300 million / 2.5 = 120 million cars

So, based on this rough estimation, the market size in terms of the number of cars in the USA with a population of 300 million people could be around 120 million cars with the given assumption. Remember, this calculation is a simplification and actual numbers can vary based on real-world data and specific demographics.

Nyka Business Analyst Interview Question approach

Step 1: Market Analysis-
The objective here is to assess the market size and growth potential in both regions. We would start by gathering data from market research reports to understand current market sizes and growth forecasts. Additionally, we'll analyze prevailing trends, such as the increasing demand for organic products or shifts towards online shopping, using visual aids like graphs and maps to highlight these markets.

Step 2: Competitive Landscape-
We would identify the main competitors in these markets and evaluate Nykaa’s market positioning relative to them. This involves listing major beauty retailers in both regions and using pie charts to display market shares, alongside visual representations of competitor logos.

Step 3: Product Comparison-
Here, our focus would shift to comparing Nykaa’s product offerings with those of existing competitors. We'd discuss the range and exclusivity of our products and highlight our unique selling propositions. Side-by-side images or checklists would be used as visual aids to make these comparisons clear.

Step 4: Financial Analysis-
This step involves estimating the financial implications of market entry. We'd outline the costs associated with setup, marketing, and operations, and project potential earnings to discuss the return on investment. Simple bar charts would be useful here to visually compare initial costs against potential revenues.

Step 5: Regulatory and Logistical Review-
We'd examine the regulatory and logistical challenges expected in these regions. This includes discussing major legal hurdles and supply chain and distribution challenges, using icons or brief clips to represent regulatory bodies and logistics like trucks and warehouses.

Step 6: Final Recommendation-
Based on our comprehensive analysis, I would conclude with a strategic decision, recommending whether Nykaa should expand into Western Europe or Southeast Asia. This decision would be backed by a summary of key reasons drawn from our analysis, and I'd use a balance scale graphic to visually present the pros and cons that led to our final decision.

GE Appliances is hiring!
Position: Associate Business Analyst
Qualification: Bachelor’s Degree
Salary: 6 - 12 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore, India

📌Apply Now: https://haier.wd3.myworkdayjobs.com/GE_Appliances/job/IND-Bangalore-KA/Associate-Business-Analyst_REQ-21526?source=LinkedIn

𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 V/S 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞

𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 (𝐁𝐀):

- Acts as a bridge between the business side and the IT side of an organization.
- Gathers and analyzes business requirements.
- Conducts stakeholder meetings.

𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐁𝐈):

- Focuses on data analysis, reporting, and data visualization using BI tools.
- Extracts and transforms data from various sources into meaningful insights to support decision-making.
- Builds dashboards and reports.
- Identifies trends and patterns in data.

𝐄𝐱𝐚𝐦𝐩𝐥𝐞:

𝐀𝐦𝐚𝐳𝐨𝐧: A BA might analyze customer feedback to improve delivery processes, while a BI professional could create dashboards to monitor sales trends and warehouse efficiency.

𝐆𝐨𝐨𝐠𝐥𝐞: A BA could work on improving user experience based on app usage data, whereas a BI expert might analyze advertising data to optimize ad campaigns.

Data Analyst vs Business Analyst

Python Interview Questions for Data/Business Analysts in MNC:

Question 1:
Given a dataset in a CSV file, how would you read it into a Pandas DataFrame? And how would you handle missing values?

Question 2:
Describe the difference between a list, a tuple, and a dictionary in Python. Provide an example for each.

Question 3:
Imagine you are provided with two datasets, 'sales_data' and 'product_data', both in the form of Pandas DataFrames. How would you merge these datasets on a common column named 'ProductID'?

Question 4:
How would you handle duplicate rows in a Pandas DataFrame? Write a Python code snippet to demonstrate.

Question 5:
Describe the difference between '.iloc[] and '.loc[]' in the context of Pandas.

Question 6:
In Python's Matplotlib library, how would you plot a line chart to visualize monthly sales? Assume you have a list of months and a list of corresponding sales numbers.

Question 7:
How would you use Python to connect to a SQL database and fetch data into a Pandas DataFrame?

Question 8:
Explain the concept of list comprehensions in Python. Can you provide an example where it's useful for data analysis?

Question 9:
How would you reshape a long-format DataFrame to a wide format using Pandas? Explain with an example.

Question 10:
What are lambda functions in Python? How are they beneficial in data wrangling tasks?

Question 11:
Describe a scenario where you would use the 'groupby()' method in Pandas. How would you aggregate data after grouping?

Question 12:
You are provided with a Pandas DataFrame that contains a column with date strings. How would you convert this column to a datetime format? Additionally, how would you extract the month and year from these datetime objects?

Question 13:
Explain the purpose of the 'pivot_table' method in Pandas and describe a business scenario where it might be useful.

Question 14:
How would you handle large datasets that don't fit into memory? Are you familiar with Dask or any similar libraries?

Question 15:
In a dataset, you observe that some numerical columns are highly skewed. How can you normalize or transform these columns using Python?

Python Interview Q&A: https://topmate.io/coding/898340

Like for more ❤️

Nyka Business Analyst Interview Question approach

Step 1: Market Analysis-
The objective here is to assess the market size and growth potential in both regions. We would start by gathering data from market research reports to understand current market sizes and growth forecasts. Additionally, we'll analyze prevailing trends, such as the increasing demand for organic products or shifts towards online shopping, using visual aids like graphs and maps to highlight these markets.

Step 2: Competitive Landscape-
We would identify the main competitors in these markets and evaluate Nykaa’s market positioning relative to them. This involves listing major beauty retailers in both regions and using pie charts to display market shares, alongside visual representations of competitor logos.

Step 3: Product Comparison-
Here, our focus would shift to comparing Nykaa’s product offerings with those of existing competitors. We'd discuss the range and exclusivity of our products and highlight our unique selling propositions. Side-by-side images or checklists would be used as visual aids to make these comparisons clear.

Step 4: Financial Analysis-
This step involves estimating the financial implications of market entry. We'd outline the costs associated with setup, marketing, and operations, and project potential earnings to discuss the return on investment. Simple bar charts would be useful here to visually compare initial costs against potential revenues.

Step 5: Regulatory and Logistical Review-
We'd examine the regulatory and logistical challenges expected in these regions. This includes discussing major legal hurdles and supply chain and distribution challenges, using icons or brief clips to represent regulatory bodies and logistics like trucks and warehouses.

Step 6: Final Recommendation-
Based on our comprehensive analysis, I would conclude with a strategic decision, recommending whether Nykaa should expand into Western Europe or Southeast Asia. This decision would be backed by a summary of key reasons drawn from our analysis, and I'd use a balance scale graphic to visually present the pros and cons that led to our final decision.

Top 5 Excel Mistakes to Avoid as a Business Analyst🤫🤔?
⚠️ Avoid These Common Excel Mistakes
1️⃣ Ignoring Data Cleaning: Always clean your data before analysis.
2️⃣ Using Hard-Coded Values: Use cell references, not hard-coded numbers in formulas.
3️⃣ Overcomplicating Formulas: Keep it simple to avoid errors and confusion.
4️⃣ Misusing Pivot Tables: Don’t forget to check the data source and formatting.
5️⃣ Lack of Documentation: Always document your analysis process for clarity.

#BusinessAnalyst

Business Analyst Interview Questions and Answers
👇👇

1. What is analysis in tableau?

Ans: Tableau comes with inbuilt features to analyze the data plotted on a chart. We have various tools such as adding an average line to the chart which tableau calculates itself after we drop the tool on the chart. Some other features include clustering, percentages, forming bands of a particular range and various other tools to explore and inspect data. All these tools are available in analyze tab on each sheet used to create any chart. The features become visible only when they are applicable to the worksheet.


2.How to create sets in tableau?

Ans: Sets are custom fields used to compare and ask questions about a subset of data. For creating a set on dimension, right-click on a dimension in data pane and select create -> set. In general tab select the fields that will be considered for computing the set. Specify the conditions to create set in conditions tab and you also have the option to select top N members in dataset based on any field in the top tab. When a set is created it divides the measure into two parts namely in and out of the set based on the conditions applied by the user.


3.Why and how would you use a custom visual file?

A custom visual file is used when none of the pre existing visuals fit the business needs. Custom visual files are generally created by Developers which can be used in the same way as prepackaged files.


4. What are the various type of users who can use Power BI?

Ans: PowerBI can be used by anyone for their requirements but there is a particular group of users who are more likely to use it:

Report Consumers: They consume the reports based on a specific information they need

Report Analyst: Report Analysts need detailed data for their analysis from the reports

Self Service Data Analyst: They are more experienced business data users. They have an in-depth understanding of the data to work with.

Basic Data Analyst: They can build their own datasets and are experienced in PowerBI Service

Advanced Data Analyst: They know how to write SQL Queries and have hands-on experience on PowerBI. They have experience in Advanced PowerBI with DAX training and data modelling.

🚀Roadmap to Becoming a Data Analyst🚀

Start your journey with these key steps:-

1️⃣ SQL: Master querying and managing data from databases.
2️⃣ Python: Use Python for data manipulation and automation.
3️⃣ Visualization: Present data using Matplotlib/Seaborn.
4️⃣ Excel: Handle data and create quick insights.
5️⃣ Power BI/Tableau: Build interactive dashboards.
6️⃣ Statistics: Understand key concepts for data interpretation.
7️⃣ Data Analytics: Apply everything in real-world projects!

#DataAnalyst

Data Analyst vs Business Analyst ✅

FRND is hiring Business Analyst 🚀

Experience : 1 Year
Location : Bangalore

Apply link : Check out this job at FRND: https://www.linkedin.com/jobs/view/4156719102

20 Must-Know Statistics Questions for Data Analyst and Business Analyst Role:



1️⃣ What is the difference between denoscriptive and inferential statistics?
2️⃣ Explain mean, median, and mode and when to use each.
3️⃣ What is standard deviation, and why is it important?
4️⃣ Define correlation vs. causation with examples.
5️⃣ What is a p-value, and how do you interpret it?
6️⃣ Explain the concept of confidence intervals.
7️⃣ What are outliers, and how can you handle them?
8️⃣ When would you use a t-test vs. a z-test?
9️⃣ What is the Central Limit Theorem (CLT), and why is it important?
🔟 Explain the difference between population and sample.
1️⃣1️⃣ What is regression analysis, and what are its key assumptions?
1️⃣2️⃣ How do you calculate probability, and why does it matter in analytics?
1️⃣3️⃣ Explain the concept of Bayes’ Theorem with a practical example.
1️⃣4️⃣ What is an ANOVA test, and when should it be used?
1️⃣5️⃣ Define skewness and kurtosis in a dataset.
1️⃣6️⃣ What is the difference between parametric and non-parametric tests?
1️⃣7️⃣ What are Type I and Type II errors in hypothesis testing?
1️⃣8️⃣ How do you handle missing data in a dataset?
1️⃣9️⃣ What is A/B testing, and how do you analyze the results?
2️⃣0️⃣ What is a Chi-square test, and when is it used?

Python Interview Questions for Data/Business Analysts:

Question 1:
Given a dataset in a CSV file, how would you read it into a Pandas DataFrame? And how would you handle missing values?

Question 2:
Describe the difference between a list, a tuple, and a dictionary in Python. Provide an example for each.

Question 3:
Imagine you are provided with two datasets, 'sales_data' and 'product_data', both in the form of Pandas DataFrames. How would you merge these datasets on a common column named 'ProductID'?

Question 4:
How would you handle duplicate rows in a Pandas DataFrame? Write a Python code snippet to demonstrate.

Question 5:
Describe the difference between '.iloc[] and '.loc[]' in the context of Pandas.

Question 6:
In Python's Matplotlib library, how would you plot a line chart to visualize monthly sales? Assume you have a list of months and a list of corresponding sales numbers.

Question 7:
How would you use Python to connect to a SQL database and fetch data into a Pandas DataFrame?

Question 8:
Explain the concept of list comprehensions in Python. Can you provide an example where it's useful for data analysis?

Question 9:
How would you reshape a long-format DataFrame to a wide format using Pandas? Explain with an example.

Question 10:
What are lambda functions in Python? How are they beneficial in data wrangling tasks?

Question 11:
Describe a scenario where you would use the 'groupby()' method in Pandas. How would you aggregate data after grouping?

Question 12:
You are provided with a Pandas DataFrame that contains a column with date strings. How would you convert this column to a datetime format? Additionally, how would you extract the month and year from these datetime objects?

Question 13:
Explain the purpose of the 'pivot_table' method in Pandas and describe a business scenario where it might be useful.

Question 14:
How would you handle large datasets that don't fit into memory? Are you familiar with Dask or any similar libraries?

Python Interview Q&A: https://topmate.io/coding/898340

Like for more ❤️

ENJOY LEARNING 👍👍

Business Analyst → Bridge Between Strategy and Data
Aligns business goals with insights
Uses Excel, SQL, Tableau, and domain knowledge
Answers “Why did this happen?”

Example: Analyzing customer churn and recommending solutions.

Data Scientist → Predicts Future Trends
Uses machine learning and analytics
Works with Python, R, and AI models
Answers “What’s next?”

Example: Forecasting sales based on past data.

Gamecrio Studios is hiring Business Analyst 🚀

Qualification : Bachelor's degree
Experience : 0-2 Years
Location : Ahmedabad

Apply link : Check out this job at Gamecrio Studios Pvt Ltd.: https://www.linkedin.com/jobs/view/4162966294