Forwarded from Jobs | Internships | Placement | Interviews
NatWest Group is hiring!
Position: Business Analyst
Qualifications: Bachelor’s/ Master’s/ MBA
Salary: 6 - 9 LPA (Expected)
Experience: Freshers & Experienced
Location: Work From Home/ office
📌Apply Now: https://jobs.natwestgroup.com/jobs/15211226-business-analyst?bid=370
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best 👍👍
Position: Business Analyst
Qualifications: Bachelor’s/ Master’s/ MBA
Salary: 6 - 9 LPA (Expected)
Experience: Freshers & Experienced
Location: Work From Home/ office
📌Apply Now: https://jobs.natwestgroup.com/jobs/15211226-business-analyst?bid=370
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best 👍👍
👍3
BPK Technologies is hiring for #BusinessAnalyst (Healthcare Domain)
Location: #Remote
Qualifications:
• Education: Bachelor’s degree in relevant fields.
• Experience: 4-8 years as a Business Analyst, preferably in the healthcare industry.
• Technical Skills:
o Proficiency in SQL is essential.
o Knowledge of API integration and related documentation.
https://careers.bpktech.com/jobs/Careers/57844000008424324
Location: #Remote
Qualifications:
• Education: Bachelor’s degree in relevant fields.
• Experience: 4-8 years as a Business Analyst, preferably in the healthcare industry.
• Technical Skills:
o Proficiency in SQL is essential.
o Knowledge of API integration and related documentation.
https://careers.bpktech.com/jobs/Careers/57844000008424324
👍2
YT Playlists to Learn Complete SQL
Database Design Course freeCodeCamp
https://www.youtube.com/watch?v=ztHopE5Wnpc&pp=ygUPc3FsIGZ1bGwgY291cnNl
SQL (Full Course) - QAFox
https://www.youtube.com/watch?v=pVKT4N-Cgb8&list=PLsjUcU8CQXGFFAhJI6qTA8owv3z9jBbpd
SQL Tutorial - Full Database Course for Beginners - freeCodeCamp
https://www.youtube.com/watch?v=HXV3zeQKqGY&pp=ygUPc3FsIGZ1bGwgY291cnNl
SQL Tutorial for Beginners (and Technical Interview Questions Solved) - freeCodeCamp
https://www.youtube.com/watch?v=-fW2X7fh7Yg&pp=ygUPc3FsIGZ1bGwgY291cnNl
MySQL Tutorial for Beginners - Programming with Mosh
https://www.youtube.com/watch?v=7S_tz1z_5bA&pp=ygUPc3FsIGZ1bGwgY291cnNl
SQL Full Course | SQL For Beginners | Mysql Full Course - Simplilearn
https://www.youtube.com/watch?v=AA7i2GcTGwU&pp=ygUPc3FsIGZ1bGwgY291cnNl
Database Design Course freeCodeCamp
https://www.youtube.com/watch?v=ztHopE5Wnpc&pp=ygUPc3FsIGZ1bGwgY291cnNl
SQL (Full Course) - QAFox
https://www.youtube.com/watch?v=pVKT4N-Cgb8&list=PLsjUcU8CQXGFFAhJI6qTA8owv3z9jBbpd
SQL Tutorial - Full Database Course for Beginners - freeCodeCamp
https://www.youtube.com/watch?v=HXV3zeQKqGY&pp=ygUPc3FsIGZ1bGwgY291cnNl
SQL Tutorial for Beginners (and Technical Interview Questions Solved) - freeCodeCamp
https://www.youtube.com/watch?v=-fW2X7fh7Yg&pp=ygUPc3FsIGZ1bGwgY291cnNl
MySQL Tutorial for Beginners - Programming with Mosh
https://www.youtube.com/watch?v=7S_tz1z_5bA&pp=ygUPc3FsIGZ1bGwgY291cnNl
SQL Full Course | SQL For Beginners | Mysql Full Course - Simplilearn
https://www.youtube.com/watch?v=AA7i2GcTGwU&pp=ygUPc3FsIGZ1bGwgY291cnNl
👍4❤1
Forwarded from Data Analyst Jobs
𝐑𝐞𝐯𝐨𝐥𝐮𝐭 - 𝐖𝐨𝐫𝐤 𝐅𝐫𝐨𝐦 𝐇𝐨𝐦𝐞
Position: Business Analyst
Qualification: Bachelor's/ Master's Degree
Salary: 5 - 8 LPA (Expected)
Experience: Freshers/ Experienced
Location: Work From Home (Remote)
📌Apply Now: https://www.revolut.com/en-IN/careers/position/business-analyst-finance-9d9d6fdb-be9e-4020-b885-ee54ad880a61/
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
Like for more ❤️
All the best 👍👍
Position: Business Analyst
Qualification: Bachelor's/ Master's Degree
Salary: 5 - 8 LPA (Expected)
Experience: Freshers/ Experienced
Location: Work From Home (Remote)
📌Apply Now: https://www.revolut.com/en-IN/careers/position/business-analyst-finance-9d9d6fdb-be9e-4020-b885-ee54ad880a61/
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
Like for more ❤️
All the best 👍👍
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
Remote - USA, VA
Salary Denoscription
$75,000 to 83,000
Apply Link : https://recruiting.paylocity.com/Recruiting/Jobs/Details/2882257
👍2
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
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
👍1
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.
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_1722490074.pdf
1.3 MB
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:
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)👍3❤2
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.
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.
👍9
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.
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.
👍4
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
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.
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.
👍4❤1
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 ❤️
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 ❤️
topmate.io
Python Interview Q&A with Coding Interview
Lot of Folks with 0-4+ YOE have cracked interview by this !
❤3
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.
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.
👍3
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
⚠️ 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
❤4
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.
👇👇
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.
👍5❤2
🚀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
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
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
Experience : 1 Year
Location : Bangalore
Apply link : Check out this job at FRND: https://www.linkedin.com/jobs/view/4156719102
Linkedin
FRND hiring Business Analyst in Bengaluru, Karnataka, India | LinkedIn
Posted 3:53:22 PM. Overview:
At FRND, we believe in the power of data to drive our strategy and enhance user…See this and similar jobs on LinkedIn.
At FRND, we believe in the power of data to drive our strategy and enhance user…See this and similar jobs on LinkedIn.